Relevant bibliographies by topics / FMEA

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'FMEA'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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Journal articles on the topic "FMEA"

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Alruqi, Mansoor, Martin Baumers, David Branson, and Robert Farndon. "A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis." Management Systems in Production Engineering 29, no. 3 (June 24, 2021): 165–77. http://dx.doi.org/10.2478/mspe-2021-0021.

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Abstract Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product functional definition, (2) Design FMEA – analysing those failures associated with design definition and (3) Process FMEA – assessing potential failures in manufacturing and assembly processes. The literature review has shown limited works on the field of synchronising these different tasks into a working model. To address this gap, this research developed a framework for integrating these tasks of FMEAs, and then qualitatively validating the proposed framework. This research adopted a semi-structured questionnaire to collect experts’ feedback and validate the proposed framework. The t-test was then employed to evaluate the collected feedback. The findings highlight that the proposed framework is applicable and could facilitate the synchronisation of the different tasks of FMEA. This research presents a methodological approach for executing and synchronising FMEAs. Therefore, the proposed framework is practically relevant as an aid for the practitioners in catching the cascading failures and reducing the relevant impact.
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Kulkarni, Chetan S., Matteo Corbetta, and Elinirina Robinson. "Enhancing Fault Isolation for Health Monitoring of Electric Aircraft Propulsion by Embedding Failure Mode and Effect Analysis into Bayesian Networks." Annual Conference of the PHM Society 12, no. 1 (November 3, 2020): 12. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1297.

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This paper describes a fault isolation approach for electric powertrains of unmanned aerial vehicles.The approach leverages the combination of failure mode and effect analysis (FMEA) and Bayesian networks, thus introducing dependability structures into a diagnostic framework. Faults and failure events from the FMEA are mapped within a Bayesian network, where network edges replicate the links embedded whitin FMEAs. This framework helps the fault isolation process by identifying the probability of occurrence of specific faults or root causes given evidence observed through sensor signals. The framework is applied to an electric powertrain system of a small, rotary-wing unmanned aerial vehicle, demonstrating how a Bayesian network enhanced by FMEA helps disambiguate between root causes of incipient failures, which would otherwise be considered as equally probable.
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Roy, Soumen Kumar, A. K. Sarkar, and Biswajit Mahanty. "Fuzzy risk assessment for electro-optical target tracker." International Journal of Quality & Reliability Management 33, no. 6 (June 6, 2016): 830–51. http://dx.doi.org/10.1108/ijqrm-03-2015-0034.

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Purpose – The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited. Design/methodology/approach – Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations. Findings – It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system. Originality/value – This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.
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Krouwer, Jan S. "An Improved Failure Mode Effects Analysis for Hospitals." Archives of Pathology & Laboratory Medicine 128, no. 6 (June 1, 2004): 663–67. http://dx.doi.org/10.5858/2004-128-663-aifmea.

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Abstract Objective.—To review the Failure Mode Effects Analysis (FMEA) process recommended by the Joint Commission on Accreditation of Health Organizations and to review alternatives. This reliability engineering tool may be unfamiliar to hospital personnel. Data Sources.—Joint Commission on Accreditation of Health Organizations recommendations, Mil-Std-1629A, and other articles about FMEA were used. Study Selection.—The articles were selected by a literature search that included Web site–accessible material. Data Extraction.—All articles found were used. Data Synthesis.—The results are based on the articles cited and the author's experience in conducting FMEAs in the medical diagnostics industry. Conclusions.—Fault trees and a list of quality system essentials are recommended additions to the FMEA process to help identify failure mode effects and causes. Neglecting mitigations for failure modes that have never occurred is a possible danger when too much emphasis is placed on improving risk priority numbers. A modified Pareto, not based on the risk priority number, is recommended when there are qualitatively different failure mode effects with different severities. Performing a FMEA that both meets accreditation requirements and reduces the risk of medical errors is an attainable goal, but it may require a different focus.
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Cavaignac, Andre Luis De Oliveira, and Jhelison Gabriel Lima Uchoa. "Obtaining FMEA’s indices for occupational safety in civil construction: a theoretical contribution." Brazilian Journal of Operations & Production Management 15, no. 4 (November 25, 2018): 558–65. http://dx.doi.org/10.14488/bjopm.2018.v15.n4.a9.

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Highlights: 1- Severity, occurrence and detection indices were obtained for specific use in construction safety; 2- Important theoretical contribution to the use of FMEA in safety of construction work; 3- Obtaining the S, O and D indices better suited to civil construction will encourage the use of FMEA in the area; 4- A quick reference table of S, O and D indexes was proposed for use by occupational safety professionals; 5- The quick reference table will allow the RPNs of the fault modes to be safely compared between different situations and different applicators. Goal: The achievement of FMEA indices better adapted to the area of occupational safety in construction. From a quick reference table, the use of the FMEA will be facilitated by professionals in the area. Design / Methodology / Approach: For the elaboration of this work were carried out researches in the literature available in scientific journals on the subject. To obtain the severity tables, the conversion of concepts of maintenance and reliability to concepts of accident severity was performed. For the occurrence table the Ford Handbook model was used (FORD, 2011), and as the database of accident statistics the most up-to-date social security yearbook was used (FAZENDA, 2016). For the detection table, a detection index model was proposed that was discussed based on commonly used risk management procedures and tools. Results: Individual tables were obtained for each FMEA index. The indices were adapted to the reality of the application of FMEA in work safety in construction. From the individual tables, a quick reference table containing the three FMEA indices related to the qualitative scale of each was obtained. Limitations of the investigation: The study limits itself to adapting the FMEA indices for work safety in construction. This study may serve as a basis for future studies on obtaining the FMEA indexes for work safety applied in other areas of activities, requiring adequate scientific sources. Regarding the validation of the indices, it is noticeable the difficulty of comparing these indices proposed in this work with indices applied subjectively and without scientific reference, relying only on the skill and previous experience of the applicator. However, it is reasonable to say that the FMEAS applied with the indices obtained in this work will have a better accuracy in representing the reality, regardless of the applicator's ability. Practical implications: Reduce the difficulties in choosing the S, O and D indices for the application of FMEA in construction safety, reduce the inaccuracy in obtaining the risk priority number for failure modes and diffuse the use of FMEA for risk analysis and prevention occupations in construction are the main theoretical implications of this work. Originality / Value: there are studies in the literature on the application of FMEA in various areas - maintenance and product development, for example - but there is very little research on the application of FMEA in occupational safety. In addition, FMEA application studies cite the difficulty of choosing the S, O and D indices, but there is an absence of studies seeking solutions to this imprecision. In this sense, this work seeks to contribute to a choice of the FMEA indexes, which is easier and more efficient due to the better adaptation of the same to the occupational safety area in civil construction.
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BOUTI, ABDELKADER, and DAOUD AIT KADI. "A STATE-OF-THE-ART REVIEW OF FMEA/FMECA." International Journal of Reliability, Quality and Safety Engineering 01, no. 04 (December 1994): 515–43. http://dx.doi.org/10.1142/s0218539394000362.

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The Failure Mode and Effects Analysis (FMEA) documents single failures of a system, by identifying the failure modes, and the causes and effects of each potential failure mode on system service and defining appropriate detection procedures and corrective actions. When extended by Criticality Analysis procedure (CA) for failure modes classification, it is known as Failure Mode Effects and Criticality Analysis (FMECA). The present paper presents a literature review of FME(C)A, covering the following aspects: description and review of the basic principles of FME(C)A, types, enhancement of the method, automation and available computer codes, combination with other techniques and specific applications. We conclude with a discussion of various issues raised as a result of the review.
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Di Nardo, Mario, Teresa Murino, Gianluca Osteria, and Liberatina Carmela Santillo. "A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in An Agri-Food Company." Applied System Innovation 5, no. 3 (April 24, 2022): 45. http://dx.doi.org/10.3390/asi5030045.

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The Failure Mode and Effect Analysis (FMEA) is often used to improve a system’s reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Best Worst Method (BWM) methodology with the EDAS and System Dynamics, FMECA: The EN-B-ED Dynamic FMECA. The main innovation point of the proposed work is the presence of an unknown factor (Cost) that allows to obtain an objective weighted factor, a risk index when a machine failure occurs. The criticality analysis has been carried out using software (Vensim PLE x64) to simulate System Dynamics models to identify corrective actions and evaluate the possible implementation of these actions. The methodology proposed is applied to a case study in a relevant Italian company in the agri-food sector.
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Di Nardo, Mario, Teresa Murino, Gianluca Osteria, and Liberatina Carmela Santillo. "A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in An Agri-Food Company." Applied System Innovation 5, no. 3 (April 24, 2022): 45. http://dx.doi.org/10.3390/asi5030045.

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The Failure Mode and Effect Analysis (FMEA) is often used to improve a system’s reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Best Worst Method (BWM) methodology with the EDAS and System Dynamics, FMECA: The EN-B-ED Dynamic FMECA. The main innovation point of the proposed work is the presence of an unknown factor (Cost) that allows to obtain an objective weighted factor, a risk index when a machine failure occurs. The criticality analysis has been carried out using software (Vensim PLE x64) to simulate System Dynamics models to identify corrective actions and evaluate the possible implementation of these actions. The methodology proposed is applied to a case study in a relevant Italian company in the agri-food sector.
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Santos, Ricardo, Laura Caldeira, and João Serra. "Aplicação da FMEA/FMECA a uma barragem de retenção de rejeitados." Geotecnia, no. 114 (November 21, 2008): 113–42. http://dx.doi.org/10.14195/2184-8394_114_6.

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Neste artigo apresenta-se um enquadramento geral das análises de riscos em Geotecnia, perspec - ti vando-se os seus objectivos e os respectivos domínios de aplicação. Referem-se, em pormenor, os seguintes mé todos de análise de risco: análise dos modos de rotura e seus efeitos (FMEA) e análise dos modos de rotura, seus efeitos e sua criticalidade (FMECA). Aplicam-se a FMEA e a FMECA a uma barragem de aterro con ven - cio nal para retenção de rejeitados. A utilização de análises de riscos em Geotecnia permite detectar e controlar atem padamente os eventuais problemas e gerir os riscos, reduzindo-os, tão cedo e tão eficientemente quanto pos sível. Reconhecidas as vantagens das análises de riscos, admite-se que estas possam vir a desempenhar uma função central das actividades desenvolvidas em programas de segurança de obras geotécnicas im por tan tes.
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Lee, Dongwoo, Dongmin Lee, and Jongwhoa Na. "Automatic Failure Modes and Effects Analysis of an Electronic Fuel Injection Model." Applied Sciences 12, no. 12 (June 16, 2022): 6144. http://dx.doi.org/10.3390/app12126144.

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In the development of safety-critical systems, it is important to perform failure modes and effects analysis (FMEA) to identify potential failures. However, traditional FMEA activities tend to be considered difficult and time-consuming tasks. To compensate for the difficulty of the FMEA task, various types of tools are used to increase the quality and the effectiveness of the FMEA reports. This paper explains an automatic FMEA tool that integrates the model-based design (MBD), FMEA, and simulated fault injection techniques in a single environment. The automatic FMEA tool has the following advantages compared to the existing FMEA analysis tool: First, the automatic FMEA tool automatically generates FMEA reports, unlike the traditional spreadsheet-based FMEA tools. Second, the automatic FMEA tool analyzes the causality between the failure modes and the failure effects by performing model-based fault injection simulation. In order to demonstrate the applicability of the automatic FMEA, we used the electronic fuel injection system (EFI) Simulink model. The results of the automatic FMEA were compared to those of the legacy FMEA.
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Dissertations / Theses on the topic "FMEA"

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Приходько, О. М., and В. М. Ванько. "Процедура проведення FMEA-аналізу." Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/66644.

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Сучасні тенденції розвитку провідних машинобудівних компаній (МК) направлені на поліпшення якості продукції ще на етапі її проектування. Одним із найефективніших методів аналізу потенційних відмов та ризиків в ході проектування продукції у світі є FMEA-аналіз. FMEA-аналіз - це системна методика проведення аналізу ризику відмов, що призначена для визначення потенційних видів відмов продуктів і процесів, оцінки ризику, пов'язаного з цими видами відмов, ранжування проблем відповідно до їх вагомості.
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Sohail, Owais Arshad. "Object Oriented Failure Modes & effect Analysis : Climate System of Hybrid Vehicles." Thesis, Karlstads universitet, Institutionen för ingenjörsvetenskap, fysik och matematik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-35750.

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In order to make the product more reliable and efficient, the failures and their occurrence related to the products should be reduced if not eliminated. To achieve that, the approach of Failure Modes Effects Analysis (FMEA) is used in the process development phase where all the aspects of the product failure are generated and studied. With the passage of time the systems began to become more complex and alone FMEA not good enough approach for the complex systems. To handle a complex system is a hard and tedious job which requires more expertise. In complex systems the individual system might have overlaps, their boundaries are often unclear. The computation of information and its transmission between the components is extensive. Object Oriented FMEA resolves these issues by identifying the structure and screening a proper boundary of the system. It looks deeply in to the operational environment and external shared resources. It then decomposes its functions and behaviors in to separable physical, logical and attributes objects. The OO-FMEA approach obeys to the objectives of modern product development process and its principles. This approach makes it comparatively much easier to analyze the complex auto-motive systems that are built in extensive electrical architecture. The systems components perform their task while being interacted, linked or even independent. In this thesis the OO-FMEA approach is implemented on the Climate System of the SPA Hybrid.
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Baitar, Rami. "Riskanalys av elsystem med funktions-FMEA." Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146712.

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Riskanalysverktyget failure mode and effects analysis (FMEA) som analyserar kompo-nenter och signaler är beroende av att designen av fordonets elsystem finns tillgängligt och utförs därför sent i utvecklingsprocessen av elsystem. Detta medför att vissa fel inte analyseras i tid och kanske måste designas bort i efterhand vilket kan leda till ökad sy-stemkomplexitet samt längre och dyrare utvecklingsprocesser.Målet med examensarbetet är att genom en litteraturstudie ta reda på om det finns me-toder eller arbetssätt som gör att Scania tidigt i utvecklingsprocessen av elsystem kan genomföra funktionsanalyser i sitt riskanalysarbete med FMEA samt analysera dessa.Resultatet av detta examensarbete visar att det är möjligt att påbörja FMEA-arbetet tidigt i utvecklingsprocessen av elsystem om ingenjörerna utgår från ett funktionsperspektiv i riskanalysarbetet där de listar och rangordnar de funktioner som tillsammans realiserar en eller flera funktionaliteter samt deras felmoder, feleffekter, feldetektering, allvarlighet, sannolikhet och frekvens. Med hjälp av en FFMEA kan ingenjörerna tidigt i utveck-lingsprocessen av elsystem snabbt och effektivt hantera de identifierade säkerhetskritiska funktionerna.En befintlig funktionalitet på Scania har brutits ned i funktioner och en FFMEA har genomförts på dessa som en demonstration på hur en FFMEA kan genomföras och se ut.
The risk analysis tool failure mode and effects analysis (FMEA) that analyzes the com-ponents and signals of a electrical system is design dependent and are therefore per-formed late in the development process of electrical systems. This could lead to that some errors are not analyzed in time and may need to be designed away which can lead to increased system complexity as well as longer and more expensive development proc-esses.The objective of this study is that through a literature review identify if there are any methods or approaches that enables Scania to implement a functional hazard analyzes early in the development process of electrical systems and to analyze these.The results of this thesis shows that it is possible to start the FMEA process early in the development process of the electrical system if the engineers have a functional perspec-tive in mind when performing the risk analysis where they list and rank the functions that is provided by the electrical system and their failure modes, failure effects, failure de-tection, severity, probability and occurrence.By using a function based FMEA, the engineer(s) can identify and promptly handle the safety critical functions early in the development process of a electrical system.A existing functionality at Scania has been broken down into functions and a functional hazard analysis has been performed on these as a demonstration of how a function based FMEA can be carried out and look like.
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Düsing, Christa, and David Prust. "Supplementary failure mode and effect analysis (FMEA) for safety application standards DIN EN ISO 13849 safety function-fmea." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71272.

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In the automotive industry, the Safety Function-FMEA according to ISO 26262 and its application to functional safety relevant systems is a well-established process in the form of Automotive Safety Integrity Levels (ASILs). These represent the failure mitigation that must be applied to ensure an acceptable residual risk of malfunctioning behaviour. The DIN EN ISO 13849 (ISO 13849) already describes a process to reduce risks for machines which starts with a Hazard And Risk Analysis (HARA) as described in DIN EN ISO 12100 and concludes with the Safety Requirements Specification (SRS). The SRS is a functional and technical safety concept defining requirements and guidelines to make sure the design conforms to defined safety goals. ISO 13849 lists important faults and failures for various technologies. The defined Safety Functions (SFs) can be classified in corresponding categories that lead to the particular hardware/system structure. This applies to mechatronic systems consisting of at least one sensor, one control unit and one actuator to monitor the system and effect a response in case of failure. Compared to the methods described in ISO 13849, the Safety Function-FMEA allows systematic identification of additional failures resulting from combinations of effects, rather than only listing the main failure causes. Based on the complexity of the machines it is highly recommended to perform a Safety Function-FMEA as a complementary method to assess and improve the overall safety of machinery.
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Macháč, Miroslav. "Použití metody FMECA pro prevenci chyb v průmyslovém podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230078.

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This thesis is focused on using FMECA in a manufacturing company. Analysis was developed in conjunction with a manufacturing company and its main goal is to decrease number of scrap. FMECA helped to find the most critical possible defects and then some actions for decreasing number of scrap were suggested.
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Potěšilová, Hana. "Procesní FMECA analýza kartonového stojanu." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-233188.

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The thesis deals with application of method FMECA to the manufacturing process of cardboard stand. The aim of work is to describe cardboard stand manufacturing, identify fault conditions and their consequences in particular manufacturing processes. In order to increase reliability of cardboard stands, we have designed measures based on analysis of criticality.
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Wikdahl, Alexander, and Andreas Eriksson. "Produktutvecklingav friktionssvetshuvuden genom K-FMEA och DFA2." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-64737.

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I och med ökad konkurrens och ökade kundkrav behöver företag bedriva produktutveckling med en rapid approach. ESAB:s sätt att svara upp mot dessa krav har resulterat i ett brett produktsortiment av friktionssvetshuvuden. Deras långsiktiga mål är därför att inrätta en ny standard för att reducera kostnader. Planen är därför att aktivt bedriva produktutveckling tillsammans med universitet och högskolor runt om i landet. Detta produktutvecklingsprojekt kan beskrivas som en första etapp i ett hållbart produktutvecklingsarbete på ESAB mot ett långsiktigt mål om att sätta en ny standard inom FSW. Syftet med detta examensarbete är att analysera två friktionssvetshuvuden: FSW LEGIO 4UT och FSW LEGIO 5UT genom K-FMEA och DFA2. Därigenom kartlägga vilka potentiella brister som finns i de befintliga konstruktionerna och belysa var bristerna finns. Analysresultatet ska tillsammans med produktutvecklingsteori, forma ett informationsunderlag för bedrivande av fortsatt produktutvecklingsarbete. Tillvägagångssättet har bedrivits genom tre faser: 1) uppstart/förarbete, 2) genomförande och 3) avslut/presentation. Vetenskapssynen har präglats av positivism med vissa inslag av hermeneutik. Forskningsmetoden har både vad gäller datainsamling, analysmetodik och utvärderingsmetodik varit kvalitativ. Undersökningsansatsen har varit av abduktiv art medan undersökningsinriktningen har varit kombinerad explorativ och deskriptiv. Först analyserades ritningsunderlag, komponentlistor, STEP-filer och produktspecifikationer för sammanlagt åtta svetshuvuden. Ett strategiskt urval av tre gjordes för att sedan ytterligare exkludera ett av dessa. En djupdykning gjordes i det empiriska underlaget som gav upphov till två hypoteser: 1) komponenter som under drift är i rörelse torde vara högst belägna att utsättas för fel, 2) svetshuvudena kan möjligen komprimeras volymmässigt och komponenter reduceras till antalet. En semi-strukturerad fokusgruppintervju genomfördes för fyra respondenter med teknisk expertis på området. Resultatet av denna gjorde att hypoteserna kunde bekräftas. Detta empiriska datamaterial ställdes mot befintlig teori rörande K-FMEA och DFA2. Vidare utfördes K-FMEA enligt teorin i sju steg på såväl systemnivå som komponentnivå. Sedan gjordes detsamma för DFA2 vars arbetssätt sker i fyra steg. Resultatet av denna studie påvisar att de allra mest kritiska komponenterna rör spindeln, spindelhuset och lager. Påfrestningar finns också i hydrauliken som har tilldelats höga kriticitetstal. Det finns även feltyper med hög risk relaterat till tillverkning och montering. Vad gäller DFA2 visade resultatet att de befintliga konstruktionerna har låg grad av monteringsvänlighet. Detta då flera monteringsriktningar används, flera komponenter är stora, tunga och svårhanterade. En del komponenter har svåråtkomlig monteringsplats. Vidare behövs för vissa komponenter extra hjälpmedel och verktyg för att kunna genomföra monteringen. Rekommendationen till ESAB i en potentiell andra etapp av detta produktutvecklingsarbete, vore att komplettera denna studie med andra produktutvecklingsverktyg och kostnadskalkyler. Detta för att se till att göra rätt från början och eliminera risker för eventuella efterföljande kostsamma justeringar.
With increased competition and increased customer requirements, companies need to pursue product development with a rapid approach. ESAB’s way of responding to these demands has resulted in a wide product range of friction welding heads. Their long-term goal is therefore to set a new standard to reduce costs. The plan is to actively conduct product development together with universities in Sweden. This product development project can be described as a first step in sustainable product development work at ESAB towards a long-term goal of setting a new standard within FSW. The purpose of this thesis is to analyze two friction welding heads: FSW LEGIO 4UT and FSW LEGIO 5UT through K-FMEA and DFA2. Thereby, identify the potential shortcomings found in the existing constructions and highlight where the shortcomings exist. The analysis results, together with product development theory, will form an information base for the pursuit of continued product development. The approach has been conducted through three phases: 1) start-up/pre-work, 2) implementation, and 3) completion/presentation. The science view has been characterized by a positivistic nature with elements of hermeneutic in some respects. The research method has been qualitative in terms of data collection, analysis methodology and evaluation methodology. The research effort has been abductive, while the research focus has been a combination of exploratory and descriptive. First, drawing documents, component lists, STEP files and product specifications were analyzed for a total of eight friction welding heads. A strategic selection of three was made to further exclude one more. An in-depth dive into the empirical evidence was made which gave rise to two hypotheses: 1) Components that move relative to others in welding operation, are most likely to be subject to errors; 2) These friction welding heads may possibly be compressed in terms of volume, and the components reduced to the number. A semi-structured focus group interview was conducted with a total of four respondents who have technical expertise in the field. The result of the interview allowed the hypothesis to be confirmed. The empirical data was put against the existing theory regarding K-FMEA and DFA2. Furthermore, K-FMEA was performed according to the theory in seven stages at both system level and component level. Then the same was done for DFA2, whose mode of operation takes place in four stages. The result of this thesis shows that the most critical components relate to the spider, spider house and the bearings. There are also stains in hydraulics that have been awarded high risk priority numbers. Along with that, failure modes with high risk frequencies related to manufacturing and assembly are identified. When it comes to DFA2, the result shows that the existing designs has low degree of assembly ease. This is because several mounting directions are used, several components are large, heavy and difficult to handle. Some components also have difficult access point. In addition, external equipment such as fixtures and tools, are needed to install some components. The recommendation to ESAB in a potential second step of their product development work, would be to complement this study with other product development tools and cost calculations. This to make sure to do right from the start and eliminate risks for any subsequent costly adjustments.
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Приходько, О. М., and В. М. Ванько. "Застосування FMEA - аналізу для поліпшення якості продукції." Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/62385.

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Проаналізувавши досвід закордонних виробників, можна зробити висновок, що сучасні тенденції розвитку провідних машинобудівних компаній (МК) направлені на поліпшення якості продукції ще на етапі її проектування. Саме виключення ризиків відмов на етапі проектування продукції і є найголовнішою актуальною проблемою для вітчизняних підприємств МК. Одним із найефективніших методів аналізу потенційних відмов та ризиків у світі є FMEA-аналіз.
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Sesma, Vitrián Elena. "Beitrag zur Ermittlung von Kosten und Nutzen der präventiven Qualitätsmethoden QFD und FMEA." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973143878.

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DALOSTO, Diogo Nunes. "Uma abordagem para FMEA baseada em métodos quantitativos." reponame:Repositório Institucional da UNIFEI, 2018. http://repositorio.unifei.edu.br/xmlui/handle/123456789/1659.

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Submitted by repositorio repositorio (repositorio@unifei.edu.br) on 2018-09-14T18:36:21Z No. of bitstreams: 1 tese_2018028.pdf: 2803004 bytes, checksum: f91953bf384ccd00cfff41afa046fb88 (MD5)
Made available in DSpace on 2018-09-14T18:36:21Z (GMT). No. of bitstreams: 1 tese_2018028.pdf: 2803004 bytes, checksum: f91953bf384ccd00cfff41afa046fb88 (MD5) Previous issue date: 2018-08
Esta Tese apresenta uma abordagem para FMEA baseada em métodos quantitativos, através da análise do sistema de medição por atributos de Repetitividade e Reprodutividade (R&R). Com base em uma revisão sistemática da literatura sobre o FMEA, observou-se que diversas pesquisas apontam que os seus resultados possuem viés de subjetividade, posto que são gerados segundo interpretação e conceito de pessoas, que são por sua própria natureza, tendenciosas. A partir desta premissa, desenvolveu-se esta pesquisa com o escopo dividido em duas partes, na qual a primeira tem o objetivo de avaliar quantitativamente a subjetividade presente no processo de atribuição das notas do FMEA para os índices de Severidade, Ocorrência, Detecção e o RPN. Assim, por meio dos índices R&R de concordância ICC (Interclass Correlation Coefficient), índice de Kappa e uma concepção de matriz de confiabilidade para o índice de Kendall, analisou-se quantitativamente quatro casos de FMEA, dos quais inferiu-se que seus resultados, do ponto de vista estatístico, apresentaram subjetividade no processo de atribuição de notas. A partir destes resultados, desenvolveu-se a segunda parte do escopo da pesquisa, onde efetuou-se uma análise crítica sobre o FMEA, estabelecendo-se quais fatores causam a subjetividade nesta ferramenta e impactam na sua confiabilidade. Em vista disso, com o propósito de minimizar a subjetividade da ferramenta, propõem-se um novo modelo, chamado de “FMEA R&R”, estabelecendo-se diretrizes e uma estrutura metodológica para corroborar estatisticamente o FMEA. A fim de validar o FMEA R&R, empregou-se o modelo em um caso real da indústria, concluindo-se que o modelo minimiza a subjetividade e aumenta a eficiência do FMEA, em termos de confiabilidade para tomada de decisão e gerenciamento de riscos.
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Books on the topic "FMEA"

1

Algedri, Jamal, and Ekkehart Frieling. Human-FMEA. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446444430.

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J, Mikulak Raymond, and Beauregard Michael R, eds. The basics of FMEA. New York: Quality Resources, 1996.

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Werdich, Martin, ed. FMEA – Einführung und Moderation. Wiesbaden: Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9951-4.

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Werdich, Martin, ed. FMEA - Einführung und Moderation. Wiesbaden: Vieweg+Teubner Verlag, 2012. http://dx.doi.org/10.1007/978-3-8348-2217-8.

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J, Mikulak Raymond, and Beauregard Michael R, eds. The basics of FMEA. 2nd ed. New York: Productivity Press, 2009.

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Pfeufer, Hans-Joachim. FMEA – Fehler-Möglichkeits- und Einfluss-Analyse. München: Carl Hanser Verlag GmbH & Co. KG, 2014. http://dx.doi.org/10.3139/9783446441705.

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Klein, William E. Model 0A wind turbine generator FMEA. [Washington, D.C: National Aeronautics and Space Administration, 1989.

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R, Lalli Vincent, United States. National Aeronautics and Space Administration., and United States. Dept. of Energy. Wind/Ocean Technologies Division., eds. Model 0A wind turbine generator FMEA. [Washington, D.C: National Aeronautics and Space Administration, 1989.

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Stahl, Patrick. Die Qualitätstechnik FMEA als Lerninstrument in Organisationen. Wiesbaden: Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-663-08408-2.

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Liu, Hu-Chen. FMEA Using Uncertainty Theories and MCDM Methods. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1466-6.

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Book chapters on the topic "FMEA"

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Liu, Hu-Chen. "FMEA." In FMEA Using Uncertainty Theories and MCDM Methods, 3–12. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1466-6_1.

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Göbel, Achim. "FMEA." In Risk Management in Medicine, 93–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-47407-5_11.

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Desnick, Robert J., Orlando Guntinas-Lichius, George W. Padberg, Gustav Schonfeld, Xiaobo Lin, Maurizio Averna, Pin Yue, et al. "FMEA." In Encyclopedia of Molecular Mechanisms of Disease, 666. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_5025.

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Hering, Ekbert, and Alexander Schloske. "Zusammenhang zwischen System-FMEA, Konstruktions-FMEA und Prozess-FMEA." In essentials, 55–58. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25763-7_6.

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Algedri, Jamal, and Ekkehart Frieling. "Human-FMEA." In Human-FMEA, 1–54. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446444430.001.

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Hering, Ekbert, and Alexander Schloske. "System-FMEA." In essentials, 11–21. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25763-7_3.

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Hering, Ekbert, and Alexander Schloske. "Konstruktions-FMEA." In essentials, 23–38. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25763-7_4.

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Hering, Ekbert, and Alexander Schloske. "Prozess-FMEA." In essentials, 39–53. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25763-7_5.

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Pfeufer, Hans-Joachim. "FMEA-Bewertung." In FMEA – Fehler-Möglichkeits- und Einfluss-Analyse nach AIAG und VDA, 119–43. 2nd ed. München: Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446469655.008.

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Tietjen, Thorsten, and André Decker. "Qualitätsmethoden und Qualifizierungskonzepte." In FMEA-Praxis, 1–18. München: Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446465640.001.

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Conference papers on the topic "FMEA"

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"Session 5.5 — FMEA, FMECA, FMMEA, and FBA." In 2012 Prognostics and System Health Management Conference (PHM). IEEE, 2012. http://dx.doi.org/10.1109/phm.2012.6228911.

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Silverman, M., and J. R. Johnson. "FMEA on FMEA." In 2013 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2013. http://dx.doi.org/10.1109/rams.2013.6517629.

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Yasko, Alexander, Eugene Babeshko, and Vyacheslav Kharchenko. "FMEDA-Based NPP I&C Systems Safety Assessment: Toward to Minimization of Experts’ Decisions Uncertainty." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60377.

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There are many techniques for the Nuclear Power Plants Instrumentation and Control (NPP I&C) systems safety assessment. Each of them is suitable for specific types of I&C systems and life cycle stages. Though general procedures of techniques application are specified by standards and described by guides, there is no universal solution that could be unambiguously applied to any NPP I&C system. The Failure Modes, Effects and Diagnostics/Criticality Analysis (FME(D/C)A) is the one that is most often used. Using this technique, the process of assessment is not trivial because of dimensionality problem that is especially critical for modern NPP I&C systems that contain many complex electronic components. Another challenge is the need of compliance to varying requirements of standards. Furthermore, modern I&C systems are based on different platforms (FPGA, microcontrollers). Most of safety and reliability assessment techniques, including mentioned FME(D/C)A, are based on expertise and thereby results are dependent on experts’ decisions very much. This could be a serious challenge, because it is very difficult to find universal experts that have sufficient experience to be equally qualified in different electronic components (FPGA, microcontrollers etc.) used in modern I&C systems. The goal of this paper is to analyze the ways of automation of FMEDA-based NPP I&C systems safety assessment and minimization of uncertainty degree of experts’ decisions. Possible experts’ errors and the uncertainty degree of their decisions are analyzed. We propose integration of all existing FMEA-based techniques into XME(D/C)A that includes Functional FMEA, Design FMEA, Software FMEA, Hardware FMEA etc. Such approach allows performing more comprehensive analysis. Developed tool AXMEA (Automated XMEA) represents an integrated solution that provides the automation of stages of FMEDA technique applied to NPP I&C. The case study is the application of proposed technique and tool during SIL3 certification of the modular RadICS™ platform.
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Zhang, Shanfeng, Mengwei Li, Haiyan Zheng, and Ruili Zhang. "Aircraft Fuel System Fuzzy FMEA and FMECA Analysis." In First International Conference on Information Sciences, Machinery, Materials and Energy. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icismme-15.2015.75.

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Shenvi, Ajit Ashok. "Software FMEA." In the 4th India Software Engineering Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1953355.1953371.

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Fidan, Murat Ali, Ugur Gurgul, and Zahide Elif Akin. "FMEA - FMECA the Application of Analysis on Electronic Circuit." In 2020 7th International Conference on Electrical and Electronics Engineering (ICEEE). IEEE, 2020. http://dx.doi.org/10.1109/iceee49618.2020.9102554.

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Rhee, Seung J., and Kosuke Ishii. "Life Cost-Based FMEA Incorporating Data Uncertainty." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dfm-34185.

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Failure Modes and Effects Analysis (FMEA) is a design tool that mitigates risks during the design phase before they occur. Although many industries use the current FMEA technique, it has many limitations and problems. Risk is measured in terms of Risk Priority Number (RPN) that is a product of occurrence, severity, and detection difficulty. Measuring severity and detection difficulty is very subjective and with no universal scale. RPN is also a product of ordinal variables, which is not meaningful as a proper measure. This paper addresses these shortcomings and introduces a new methodology, Life Cost-Based FMEA, which measures risk in terms of cost. The ambiguity of detection difficulty and severity is resolved by measuring these in terms of time loss. Life Cost-Based FMEA is useful for comparing and selecting design alternatives that can reduce the overall life cycle cost of a particular system. Next, a Monte Carlo simulation is applied to the Cost-Based FMEA to account for the uncertainties in: detection time, fixing time, occurrence, delay time, down time, and model complex scenarios. This paper compares and contrasts these three different FMEAs: RPN, Life Cost-based point estimation, and Life Cost-Based using Monte Carlo simulation for data uncertainty.
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Kara-Zaitri, Chakib, and Obaida Alsahli. "The Development of a Hardware Oriented Tool for Risk Assessment and Modelling." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1020.

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Abstract This paper describes the development of a “hardware-oriented” tool capable of handling the qualitative analysis of Integrated FMEA and FTA i.e. Failure Modes and Effects Tree Analysis (FMETA). The Boolean reduction required for the determination of MCSs is inherently dealt with the hardware system. The work carried takes advantage of the significant development made in Application Specific Integrated Circuits (ASICs). The new idea here is that a hardware design can, in fact, mimic the failure logic of a given system and can therefore encapsulate the underlying FMETA knowledge base. In this research, an algorithm based on the new idea has been successfully implemented on a Programmable Logic Device (PLD) using simulation software. The prototype system developed is a small unit consisting of a chip containing the “wired-in” failure knowledge base, in terms of FMETA, and a simple input / output device for interrogation purposes. The intrinsic PLD simulation algorithm is shown to successfully model the relationships existing between repeated failure causes, modes and effects and generate the list of associated MCSs in a truly integrated FMEA/FTA context.
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Hamann, Rainer, Andreas Uhlig, Yiannis Papadopoulos, Erich Ru¨de, Uwe Gra¨tz, Martin Walker, and Rune Lien. "Semi Automatic Failure Analysis Based on Simulation Models." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57256.

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Classical risk assessment and risk management which is gaining importance in many industries is usually based on well defined processes and uses techniques like FTA and FMEA. However, classical risk analysis techniques like FTA and FMEA should ideally be automated, at least to some extent and without loss of effectiveness, to enable fast and cost effective iterations of system modelling and risk analysis that can meet the tight cost and time constraints of most offshore projects. This paper is focused on the presentation of a new concept and tool extension for model-based synthesis of fault trees and FMEAs in which these failure analyses are automatically constructed from engineering design models, e.g. simulation models that have been augmented with information about the local propagation of failures. The simulation model is developed in the commercial system modelling tool SimulationX. The proposed process enables the automatic generation of both fault trees and FMEA tables in a single run of the tool, allowing the FMEA and fault trees to share failure data and allowing the FMEA to include failures caused by multiple basic events. As it is a largely automated process, it could be easily iterated to enable the continuous assessment of evolving designs. It provides an automatic generation of fault trees and FMEA tables for multiple top events in a single run of the tool. The potential benefits from application of this technique and tool are substantial and include simplifying the analysis, easing the examination of effects of design modifications on safety and keeping the safety analyses consistent with the design. Furthermore, the presented approach combines the benefits of simulation and risk analysis in one tool. The benefits of this approach are demonstrated by the example of a blow out preventer for a subsea installation valve.
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Bidokhti, Nematollah. "FMEA is not enough." In 2009 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2009. http://dx.doi.org/10.1109/rams.2009.4914698.

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Reports on the topic "FMEA"

1

Pitkoff, C. C. Cold vacuum drying facility: Phase 1 FMEA/FMECA session report. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/353287.

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Iarocci, M., and S. Kane. FMEA RHIC Cryogenics. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/1119197.

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Curran, Kelsey Leigh Forde, Holly Colleen Chamberlin, and Timothy Scott Stirrup. SWiFT Hydraulic System FMEA. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1562630.

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Collins, David, and Aparna Huzurbazar. Reliability Prediction using FMEA, FTA, and Related Techniques. Office of Scientific and Technical Information (OSTI), August 2021. http://dx.doi.org/10.2172/1813832.

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Popovic, Vladimir, Branko Vasic, and Sasa Mitic. Improvement of FMEA Method and Its Implementation Into Vehicle Life Cycle. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0318.

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Spencer, Cherrill M. Cost Based Failure Modes and Effects Analysis (FMEA) for Systems of Accelerator Magnets. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/813199.

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King, J. Laser Beam Failure Mode Effects and Analysis (FMEA) of the Solid State Heat Capacity Laser (SSHCL). Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1226982.

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Huang, Hui-Min, and Thomas Hedberg Jr. Proposed expansion of quality information framework (QIF) standard schema with potential failure mode and effects analysis (FMEA) information model. Gaithersburg, MD: National Institute of Standards and Technology, May 2019. http://dx.doi.org/10.6028/nist.ams.300-7.

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Ahmadi, Hamid, Meysam Esmaeilzadeh, and Abolfazl Sedghi. Risk assessment using FMEA to identify potential risks of positive displacement pump failure in aluminum industry: A case study. Peeref, April 2023. http://dx.doi.org/10.54985/peeref.2304p4109600.

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Rhee, Seung, and Cherrill Spencer. Life Cost Based FMEA Manual: A Step by Step Guide to Carrying Out a Cost-based Failure Modes and Effects Analysis. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/946447.

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