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Journal articles on the topic 'Failure Mode Effect Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Satish, Kalyani, and Kirti Udayi. "Failure Mode Effect Analysis on Clinical Alarms." International Journal of Science and Research (IJSR) 10, no. 10 (2021): 1565–74. https://doi.org/10.21275/sr22628100839.

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2

Elbadawi, Isam A.Q., Mohamed Arafat Ashmawy, Wan Ahmad Yusmawiza, Imran Ali Chaudhry, Naim Ben Ali, and Ayyaz Ahmad. "Application of Failure Mode Effect and Criticality Analysis (FMECA) to a Computer Integrated Manufacturing (CIM) Conveyor Belt." Engineering, Technology & Applied Science Research 8, no. 3 (2018): 3023–27. https://doi.org/10.5281/zenodo.1400610.

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Fault finding and failure predicting techniques in manufacturing and production systems often involve forecasting failures, their effects, and occurrences. The majority of these techniques predict failures that may appear during the regular system production time. However, they do not estimate the failure modes and they require extensive source code instrumentation. In this study, we suggest an approach for predicting failure occurrences and modes during system production time intervals at the University of Hail (UoH). The aim of this project is to implement failure mode effect and criticality

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3

Soheylinia, Hossein, Mohammad Mehdi Sepehri, and Mohsen Emadaldin. "Reducing errors during surgery using an improved Healthcare Failure Mode and Effect Analysis model." British Journal of Healthcare Management 25, no. 8 (2019): 1–15. http://dx.doi.org/10.12968/bjhc.2017.0021.

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Background/Aims Prospective risk management is a necessary measure when managing and providing the right response to a healthcare system error. This article provides an improved model of the Healthcare Failure Mode and Effect Analysis model, which aims to reduce errors in the operating room and improve on the major defects found in the Healthcare Failure Mode and Effect Analysis model. Methods The improved model presented in this descriptive mixed-methods article was examined in 2015 on selective processes in total knee replacement in Shahid Madani Hospital's operating rooms in Karaj, Iran. Da

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Egbe, Gregory Omozuhiomwen, Stella N. Arinze, Solomon H. Ebenuwa, Emenike Raymond Obi, and Augustine O. Nwajana. "Maintenance Resources Optimization Using Pareto Analysis." International Journal of Manufacturing, Materials, and Mechanical Engineering 13, no. 1 (2024): 1–14. http://dx.doi.org/10.4018/ijmmme.353392.

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Managing resource allocation for optimum effectiveness at various levels of maintenance activities is always a challenging task. Optimizing maintenance resources enables an organization to set priorities towards achieving certain goals which are availability and reliability of the equipment for operational excellence. The purpose of this analysis is to determine the optimum resources allocation proportions among the failure modes and to identify the failure modes that have the greatest cumulative effect on the equipment's downtime. This paper presents a methodology using the Pareto analysis in

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5

Jung, Junhong, and Jae-Hak Lim. "Software Failure Mode and Effect Analysis for Identifying Critical Failure Modes." Journal of Applied Reliability 20, no. 4 (2020): 302–12. http://dx.doi.org/10.33162/jar.2020.12.20.4.302.

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6

Guinot, Jeff, John W. Sinn, M. Affan Badar, and Jeffrey M. Ulmer. "Cost consequence of failure in failure mode and effect analysis." International Journal of Quality & Reliability Management 34, no. 8 (2017): 1318–42. http://dx.doi.org/10.1108/ijqrm-06-2016-0082.

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Purpose The purpose of this paper is to investigate the possibility of including the cost consequence of failure in the a priori risk assessment methodology known as failure mode and effect analysis (FMEA). Design/methodology/approach A model of the standard costs that are incurred when an electronic control module in an automotive application fails in service was developed. These costs were related to the Design FMEA ranking of the level of severity of the failure mode and the probability of its occurrence. Monte Carlo simulations were conducted to establish the average costs expected for eac

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Li, He, A. P. Teixeira, and C. Guedes Soares. "An Improved Failure Mode and Effect Analysis of Floating Offshore Wind Turbines." Journal of Marine Science and Engineering 10, no. 11 (2022): 1616. http://dx.doi.org/10.3390/jmse10111616.

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This paper proposes an improved failure mode and effect analysis method for a comprehensive failure analysis that provides a holistic perspective of actions on the potential failures of floating offshore wind turbines. A new way of constructing risk priority numbers was developed by considering the background knowledge of the specialists involved in the failure analysis. The failure analysis was conducted based on an extensive dataset from multiple specialists that covers five floating offshore wind turbine systems, 15 main components, 42 failure modes, and 104 failure causes. Consequently, 21

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8

Haktanır, Elif, and Cengiz Kahraman. "Interval-valued neutrosophic failure mode and effect analysis." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 6591–601. http://dx.doi.org/10.3233/jifs-189121.

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Failure mode and effects analysis (FMEA) is a structured approach for discovering possible failures that may occur in the design of a product or process. Since classical FMEA is not sufficient to represent the vagueness and impreciseness in human decisions and evaluations, many extensions of ordinary fuzzy sets such as hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets, and picture fuzzy sets. Classical FMEA has been handled to capture the uncertainty through these extensions. Neutrosophic sets is a different extension from the others handling the unce

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NICOLIN, Ilie, and Bogdan Adrian NICOLIN. "Failure Mode and Effect Analysis for a military nose landing gear project." INCAS BULLETIN 13, no. 4 (2021): 205–12. http://dx.doi.org/10.13111/2066-8201.2021.13.4.17.

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Failure Mode and Effect Analysis (FMEA) techniques were originally developed by the US Military and have been used as techniques for assessing the reliability and effects of equipment failures. However, the first notable applications of FMEA techniques are related to the impressive development of the aerospace industry in the mid-1960s. FMEA is a methodology for systematically analyzing the failure modes of a project, product or process, prioritizing their importance, identifying system failure mechanisms, analyzing potential failure modes and the effects of these failures, followed by correct

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10

Liu, Ying, Zheng Hu, and Shi Gang Zhang. "A Correlation Model Based Failure Mode Analysis Method for Mechatronics Systems." Applied Mechanics and Materials 727-728 (January 2015): 637–40. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.637.

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Failure mode analysis formechatronics systems has many problems in real applications in terms of excessivedependency on experience, lack of uniform description and tedious analysis work. In order to increaseits effectiveness, an automatic failure modes analysis framework is constructedand an extended fuzzy cognitive map is used as a reasoning technique toanalysis the effect of the failures. A function-failure correlation model witha standard description is adopted to describe the relationship between failuremodes and functions, so that designers and engineers from different fields cancomprehen

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11

Shebl, Nada Atef, Bryony Dean Franklin, and Nick Barber. "Is Failure Mode and Effect Analysis Reliable?" Journal of Patient Safety 5, no. 2 (2009): 86–94. http://dx.doi.org/10.1097/pts.0b013e3181a6f040.

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12

Hendarti, Devina Rosa. "PERANCANGAN SISTEM PERAWATAN PULVERIZER MODEL MVM31F MENGGUNAKAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DI PT. XYZ." Jurnal Permadi : Perancangan, Manufaktur, Material dan Energi 6, no. 03 (2024): 243–53. http://dx.doi.org/10.52005/permadi.v6i03.162.

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The continuous increase in population growth leads to a rising demand for electrical energy. PT. XYZ as a supplier of electrical energy, relies heavily on the reliability of its components to meet this demand. The frequency of failures in pulverizer machines is one of the factors that reduce production capacity. This study uses the FMEA method combined with LTA to determine the failure consequences caused by failure modes, resulting in appropriate maintenance actions for critical components. From the FMEA analysis, 10 failure modes were identified along with their causes and effects if failure

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Beyene, Tsehaye Dedimas, Sisay Geremew Gebeyehu, and Azemeraw Tadesse Mengistu. "Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company." Journal of Engineering, Project, and Production Management 8, no. 1 (2018): 40–46. http://dx.doi.org/10.32738/jeppm.201801.0005.

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14

Dr., Dhananjay R. Dolas, and Ali N. Quadri Sarfraz. "FAILURE MODE & EFFECT ANALYSIS OF LEAD ACID BATTERY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 251–56. https://doi.org/10.5281/zenodo.47036.

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Now a days Reliability of any mechanical system is the most important factor of the product design, so the need for reliability estimation & prediction of critical modes of failure for mechanical system became the talk of the town. Lead acid battery which has been in use for different applications for over 13 decades. Their areas of application have transcended the traditional areas of automotive vehicle and have spread to newly developed area such as in traction of hybrid-electric vehicles, in un-interruptible power supply units and in telecommunication system for standby duties. The obje

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15

Edun, Bose Mosunmola, Oluseyi O. Ajayi, and Philip Olufemi Babalola. "Failure Mode and Cost Effect Analysis of a Model Bone Crushing Hammer." Key Engineering Materials 917 (April 13, 2022): 63–69. http://dx.doi.org/10.4028/p-z01ver.

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Critical investigation of strength properties of materials is required in Engineering practice to ensure an enhanced service life. Globally, industrialists are struggling to increase cost savings from lost production due to the failure of machine, while customers are concerned about the safety and reliability of the products. Hammer mills are prone to various modes of failure like chemical failure, erosive failure, abrasive failure and fatigue failure. The effect of these failure modes is always detrimental to the operation of the machine and its efficiency. Hence, forensic investigation is es

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Govindarajan, Rajaram, and Mohammed Laeequddin. "Failure mode and effect analysis (FMEA) of radiotherapy." Emerald Emerging Markets Case Studies 10, no. 4 (2020): 1–22. http://dx.doi.org/10.1108/eemcs-10-2019-0281.

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Learning outcomes Learning outcomes are as follows: students will discover the importance of process orientation in management; students will determine the root cause of the problem by applying root cause analysis technique; students will identify the failure modes, analyze their effect, score them on a scale and prioritize the corrective action to prevent the failures; students will analyze the processes and propose error-proof system/s; and students will analyze organizational culture and ethical issues. Case overview/synopsis Purpose: This case study is intended as a class-exercise, for stu

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Nadaf, Adila R., and Rahul M. Chanmanwar. "Design Failure Mode and Effect Analysis – Case Study." IOP Conference Series: Materials Science and Engineering 998 (December 23, 2020): 012053. http://dx.doi.org/10.1088/1757-899x/998/1/012053.

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18

Huang, G. Q., M. Nie, and K. L. Mak. "Web-based failure mode and effect analysis (FMEA)." Computers & Industrial Engineering 37, no. 1-2 (1999): 177–80. http://dx.doi.org/10.1016/s0360-8352(99)00049-2.

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19

Colli, Alessandra. "Failure mode and effect analysis for photovoltaic systems." Renewable and Sustainable Energy Reviews 50 (October 2015): 804–9. http://dx.doi.org/10.1016/j.rser.2015.05.056.

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20

Elbadawi, I., M. A. Ashmawy, W. A. Yusmawiza, I. A. Chaudhry, N. B. Ali, and A. Ahmad. "Application of Failure Mode Effect and Criticality Analysis (FMECA) to a Computer Integrated Manufacturing (CIM) Conveyor Belt." Engineering, Technology & Applied Science Research 8, no. 3 (2018): 3023–27. http://dx.doi.org/10.48084/etasr.2043.

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Fault finding and failure predicting techniques in manufacturing and production systems often involve forecasting failures, their effects, and occurrences. The majority of these techniques predict failures that may appear during the regular system production time. However, they do not estimate the failure modes and they require extensive source code instrumentation. In this study, we suggest an approach for predicting failure occurrences and modes during system production time intervals at the University of Hail (UoH). The aim of this project is to implement failure mode effect and criticality

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21

Cardiel-Ortega, José Jovani, and Roberto Baeza-Serrato. "Failure Mode and Effect Analysis with a Fuzzy Logic Approach." Systems 11, no. 7 (2023): 348. http://dx.doi.org/10.3390/systems11070348.

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Failure mode and effect analysis (FMEA) is one of the most used techniques in risk management due to its potential to solve multidisciplinary engineering problems. The role of experts is fundamental when developing the FMEA; they identify the failure modes by expressing their opinion based on their experience. A relevant aspect is a way in which the experts evaluate to obtain the indicator of the risk priority number (RPN), which is based on qualitative analysis and a table of criteria where they subjectively and intuitively determine the factor level (severity, occurrence, and detection) for

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22

Askari, Roohollah, Milad Shafii, Sima Rafiei, Mohammad Sadegh Abolhassani, and Elaheh Salarikhah. "Failure mode and effect analysis: improving intensive care unit risk management processes." International Journal of Health Care Quality Assurance 30, no. 3 (2017): 208–15. http://dx.doi.org/10.1108/ijhcqa-04-2016-0053.

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Purpose Failure modes and effects analysis (FMEA) is a practical tool to evaluate risks, discover failures in a proactive manner and propose corrective actions to reduce or eliminate potential risks. The purpose of this paper is to apply FMEA technique to examine the hazards associated with the process of service delivery in intensive care unit (ICU) of a tertiary hospital in Yazd, Iran. Design/methodology/approach This was a before-after study conducted between March 2013 and December 2014. By forming a FMEA team, all potential hazards associated with ICU services – their frequency and severi

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Ashley, Laura, and Gerry Armitage. "Failure Mode and Effects Analysis." Journal of Patient Safety 6, no. 4 (2010): 210–15. http://dx.doi.org/10.1097/pts.0b013e3181fc98d7.

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24

Teng, Sheng‐Hsien (Gary), and Shin‐Yann (Michael) Ho. "Failure mode and effects analysis." International Journal of Quality & Reliability Management 13, no. 5 (1996): 8–26. http://dx.doi.org/10.1108/02656719610118151.

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25

Weeks, Sandra Kenney, Feodor Bijkersma, Elizabeth Hubbartt, Bernadette Murphy, and Mary Ann Anderson. "Failure Mode and Effects Analysis." AJN, American Journal of Nursing 104, no. 4 (2004): 72A—72D. http://dx.doi.org/10.1097/00000446-200404000-00030.

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26

Fletcher, Carol E. "Failure Mode and Effects Analysis." Journal of Nursing Administration 27, no. 12 (1997): 19–26. http://dx.doi.org/10.1097/00005110-199712000-00008.

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27

COHEN, MICHAEL R., JOHN SENDERS, and NEIL M. DAVIS. "FAILURE MODE AND EFFECTS ANALYSIS." Nursing 24, no. 2 (1994): 40–42. http://dx.doi.org/10.1097/00152193-199402000-00018.

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28

Wang, Zinan, Yuxuan Yang, Hao Wang, and Xuming Zeng. "A Comprehensive Failure Risk Analysis of Drainage Pipes Utilizing Fuzzy Failure Mode and Effect Analysis and Evidential Reasoning." Buildings 13, no. 3 (2023): 590. http://dx.doi.org/10.3390/buildings13030590.

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Drainage pipes play a crucial role in maintaining the functionality of cities and ensuring the smooth flow of daily life for its inhabitants. However, due to their placement either in shallow ground or within building foundations, maintenance of these pipes can be challenging. At present, research in this field primarily focuses on evaluating the overall health of macroscopic pipeline systems. Moreover, there is a lack of decision algorithms that can effectively minimize the subjectivity of experts. To address this issue, a failure risk analysis method was developed that incorporates the princ

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Mubarok, Khoirul, Rudi Kurniawan, and Iis Riyana. "Evaluasi Kecacatan Produk Air Minum Dalam Kemasan (AMDK) 200 mL Menggunakan Metode FMEA (Failure Mode Effect Analysis)." Jurnal Teknik Industri Terintegrasi 8, no. 3 (2025): 2269–75. https://doi.org/10.31004/jutin.v8i2.44730.

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PT. DALWA ANUGRAHHASANIAH, a company that produces Packaged Drinking Water (AMDK) using ozone technology, this company also produces various sizes of glasses, bottles, and uses two types of raw materials - mineral water and demineralized water. This study aims to ensure that the AMDK production process does not experience defects. In an effort to reduce product defects, the Failure Mode and Effect Analysis (FMEA) method is used. FMEA is a proactive risk management method used to identify potential failures in a system, design, process, or service before it reaches the consumer. The goal is to

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Cardiel-Ortega, José Jovani, and Roberto Baeza-Serrato. "Probabilistic Fuzzy System for Evaluation and Classification in Failure Mode and Effect Analysis." Processes 12, no. 6 (2024): 1197. http://dx.doi.org/10.3390/pr12061197.

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Failure Mode and Effect Analysis (FMEA) is an essential risk analysis tool that is widely applicable in various industrial sectors. This structured technique allows us to identify and assign priority levels to potential failures that violate the reliability of a system or process. Failure evaluation occurs in a decision-making environment with uncertainty. This study proposes a probabilistic fuzzy system that integrates linguistic and stochastic uncertainty based on a Mamdani-type model to strengthen the FMEA technique. The system is based on analyzing the frequency of failures and obtaining t

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Gu, Ying Kui, Xin Chong Luo, and Shun Yun Tang. "Risk Priority Analysis for Engine Based on Fuzzy Weighted Geometric Mean." Advanced Materials Research 463-464 (February 2012): 1160–64. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1160.

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Fuzzy risk priority numbers (FRPNs) were proposed for assessment of the probabilistic risk by synthetically using fuzzy set theory, failure mode and effect analysis. The priority rank of failure modes is evaluated by fuzzy risk priority number in the fuzzy failure mode and effect analysis, where occurrence probability ranking, effect severity ranking and detection difficulty ranking are all fuzzy weighted geometric mean, and the FRPN can be computed using alpha-level set and optimization model. An engine example was provided to illustrate the proposed fuzzy FMEA and the detailed computational

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Petrescu, L., E. Cazacu, and Maria-Cătălina Petrescu. "Failure Mode and Effect Analysis in Automotive Industry: A Case Study." Scientific Bulletin of Electrical Engineering Faculty 19, no. 2 (2019): 10–15. http://dx.doi.org/10.1515/sbeef-2019-0014.

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AbstractNowadays, Failure Mode and Effect Analysis (FMEA) is more present in any standard evaluation of a product or process. In automotive industry, the IEC 61508 Standard adapted the ISO 26262 restrictions for Electrical and Electronic Devices. Conducting an FMEA reduces the costs by focusing on preventing failures, improving safety and increasing customer satisfaction. This paper presents a case study of a FMEA on a CAN (Controller Area Network) Bus Harness considering the entire process from defining the scope and building the team, to the action plan that will reduce the Risk Priority Num

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Krishnaraj, C., K. M. Mohanasundram, S. R. Devadasan, and N. M. Sivaram. "Total failure mode and effect analysis: a powerful technique for overcoming failures." International Journal of Productivity and Quality Management 10, no. 2 (2012): 131. http://dx.doi.org/10.1504/ijpqm.2012.048295.

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Lin, Shuzhi, Ningsheng Wang, Biqi Ren, Shuang Lei, and Bianling Feng. "Use of Failure Mode and Effects Analysis (FMEA) for Risk Analysis of Drug Use in Patients with Lung Cancer." International Journal of Environmental Research and Public Health 19, no. 23 (2022): 15428. http://dx.doi.org/10.3390/ijerph192315428.

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It is crucial to investigate the risk factors inherent in the medication process for cancer patients since improper antineoplastic drug use frequently has serious consequences. As a result, the Severity, Occurrence, and Detection rate of each potential failure mode in the drug administration process for patients with lung cancer were scored using the Failure Mode and Effect Analysis (FMEA) model in this study. Then, the risk level of each failure mode and the direction of improvement were investigated using the Slacks-based measure data envelopment analysis (SBM-DEA) model. According to the fi

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Price, C. J., J. E. Hunt, M. H. Lee, and A. R. T. Ormsby. "A Model-Based Approach to the Automation of Failure Mode Effects Analysis for Design." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 206, no. 4 (1992): 285–91. http://dx.doi.org/10.1243/pime_proc_1992_206_189_02.

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This paper describes the application of model-based technology in the area of failure mode effects analysis (FMEA). FMEA involves the repetitive application of engineering expertise, and so would seem to be a promising target for automation through knowledge-based systems (KBS) technology. However, in order to decide what would be the effect of a failure in a sub-system, it is necessary to reason about the structure of the sub-system being investigated and to be able to represent and reason about different facets of the way in which the sub-system works. The difficulty of automating this analy

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Cheng, Ni, Zhijian Shi, and Yuqing Wang. "Research on Safety Assessment Method on Integrated Modular Avionics Based on Cascading Effect Analysis." Journal of Physics: Conference Series 2228, no. 1 (2022): 012046. http://dx.doi.org/10.1088/1742-6596/2228/1/012046.

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Abstract As a key airborne electronic system of civil aircraft, the safety of IMA is very important. IMA has many interconnected systems and wide influence scope, the influence of its failure consequences is difficult to determine, and therefore a method for IMA safety assessment based on IMA has many interconnected systems and wide influence scope, the influence of its failure consequences is difficult to determine, and therefore a method for IMA safety assessment based on Firstly single and combined IMA equipment failure modes are identified, and then for each IMA failure mode, Firstly singl

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Wang, Hong Jun, Lei Sun, and Lei Shi. "Failure Mode, Effect and Criticality Analysis of CNC Grinder." Applied Mechanics and Materials 141 (November 2011): 284–88. http://dx.doi.org/10.4028/www.scientific.net/amm.141.284.

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CNC grinder is considered as the key equipment of camshaft production line. Its reliability directly influences the quality of the products. This article takes an analysis of fault record of 15 sets of CNC grinders of production line, gets failure positions analysis, and then reaches data of failure modes, fault reason of CNC grinder. Comprehensive analyses of criticality for the machine are done through establishing models. Therefore, this analysis provides technical basis for repair, maintenance and update of CNC grinder of camshaft production line.

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Firdaus, Itsna Affandi, and Muhammad Isa Irawan. "Operational Risk Management of Onshore Processing Facility using Risk Failure Mode and Effect Analysis and Fault Tree Analysis." Jurnal Teknobisnis 8, no. 1 (2024): 01–15. http://dx.doi.org/10.12962/j24609463.v8i1.925.

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Onshore Processing Facility (OPF) is one of the natural gas processing fields. The gas is dried and distributed to the consumer. The ideal condition of a process plant is to operate continuously until the planned maintenance time. However, unexpected various operational failure problems exist during operation. The impact of operational failures occurred not only on the OPF itself but also on the Refinery Unit Operation process, which may disrupt fuel distribution in West Java and become a national issue. Research is needed to determine the critical risks of various operational failure modes. F

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Fuad, Achmad Nur, Hidayat Hidayat, and Akhmad Wasiur Rizqi. "ANALYSIS AND IDENTIFICATION OF DAMAGE TO AMC 36-800/MA AN SHAN LATHES USING FAILURE MODE AND EFFECT ANALYSIS AND FAULT TREE ANALYSIS METHODS." Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri 10, no. 1 (2024): 27. http://dx.doi.org/10.24014/jti.v10i1.29266.

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Maintenance emerges as a crucial intervention to ensure the sustained reliability of machinery. The AMC 36-800/MA AN SHAN lathe, a piece of equipment subject to extensive operational demands, frequently encounters breakdowns, thereby obstructing the seamless execution of maintenance activities for facilities. This investigation seeks to pinpoint the components responsible for the failures and malfunctions afflicting the lathe above. Employing the methodologies of Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA), this study successfully identifies the components at the epi

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Zhu, Jianghong, Bin Shuai, Rui Wang, and Kwai-Sang Chin. "Risk Assessment for Failure Mode and Effects Analysis Using the Bonferroni Mean and TODIM Method." Mathematics 7, no. 6 (2019): 536. http://dx.doi.org/10.3390/math7060536.

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As a safety and reliability analysis technique, failure mode and effects analysis (FMEA) has been used extensively in several industries for the identification and elimination of known and potential failures. However, some shortcomings associated with the FMEA method have limited its applicability. This study aims at presenting a comprehensive FMEA model that could efficiently handle the preference interdependence and psychological behavior of experts in the process of failure modes ranking. In this model, a linguistic variable expressed by the interval-valued Pythagorean fuzzy number (IVPFN)

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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 (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 techni

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Al-Humaidi, H. M., and F. Hadipriono Tan. "Using Fuzzy Failure Mode Effect Analysis to Model Cave-In Accidents." Journal of Performance of Constructed Facilities 26, no. 5 (2012): 702–19. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000276.

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43

Hakim, Muchammad Lukman, and Atikha Sidhi Cahyana. "Quality Control Analysis Using the Failure Mode and Effect Analysis Method." Procedia of Engineering and Life Science 7 (February 21, 2024): 1–6. http://dx.doi.org/10.21070/pels.v7i0.1589.

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This study aimed to investigate critical factors contributing to defective Epodion® rh-Erythropoietin Alfa syringes, specifically focusing on reducing cracks during manufacturing. A Failure Mode and Effect Analysis (FMEA) approach was employed to identify the primary causes of failure, revealing cracking as the predominant issue affecting 43% of defective units. To mitigate this concern, we calculated a Risk Priority Number (RPN) of 162, highlighting the significance of addressing material-related issues. By recommending enhanced quality control measures for raw materials prior to their utiliz

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Donţu, Andrei Ionuţ, Tudor-Marian Ulian, and Edward Rakosi. "Functional Analysis of a New Concept of WIM Sensor by Using Failure Mode and Effects Analysis (F.M.E.A.)." Bulletin of the Polytechnic Institute of Iași. Machine constructions Section 67, no. 1 (2021): 51–58. http://dx.doi.org/10.2478/bipcm-2021-0006.

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Abstract The overloading vehicle become an important problem for Europe Union, protecting the environment and increase the traffic safety. WIM or weigh-in-motion systems can monitor the traffic, determine the volume and type of traffic and detect the overload vehicles which are illegal. This paper discusses about applying the Failure Mode and Effect Analysis method for developing a new concept of WIM sensor, designed in PhD thesis from “Gheorghe Asachi” Technical University of Iaşi. FMEA method or also called potential failure modes and effects analysis is a step-by-step approach for determine

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Lo, Huai-Wei, James J. H. Liou, Chun-Nen Huang, and Yen-Ching Chuang. "A novel failure mode and effect analysis model for machine tool risk analysis." Reliability Engineering & System Safety 183 (March 2019): 173–83. http://dx.doi.org/10.1016/j.ress.2018.11.018.

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Zhang, Chao, Boyuan Chen, and Xiangzhi Li. "Fuzzy Failure Modes, Effect and Criticality Analysis on Electromechanical Actuators." Actuators 13, no. 12 (2024): 510. https://doi.org/10.3390/act13120510.

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The electromechanical servo is the preferred aviation servo actuator system now. EMA (electromechanical actuators), especially EMA of airplanes, will inevitably occur a variety of faults. FMECA (Failure Modes, Effect and Criticality Analysis) is commonly used to analyze the failure mode of the product. However, traditional FMECA is easily affected by subjective factors, and previous studies on FMECA have not focused on the EMA of airplanes. Therefore, this paper was carried out to provide a method of EMA failure modes analysis to find out the most vulnerable part of EMA. Firstly, we analyzed t

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Jang and Min. "Time-Dependent Probabilistic Model for Hierarchical Structure in Failure Mode and Effect Analysis." Applied Sciences 9, no. 20 (2019): 4265. http://dx.doi.org/10.3390/app9204265.

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Failure mode and effect analysis (FMEA) is a structured technique for identifying risks that may occur during a given stage of a system’s life cycle. However, the use of the risk priority number (RPN) in traditional FMEA results in difficulties with regard to quantification of the degree of risk in the hierarchical failure structure. This study proposes the use of a hierarchical time-dependent FMEA approach to overcome the limitations encountered during the implementation of traditional FMEA approaches. In place of the RPN, a probabilistic loss model is developed under a hierarchical structure

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Koçak, Sinan, Edit Tóth-Laufer, and László Pokorádi. "Advanced fuzzy rule-based failure mode and effect analysis." Gradus 8, no. 3 (2021): 187–94. http://dx.doi.org/10.47833/2021.3.eng.001.

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This article aims to show few advanced approach method for improving Failure Mode and Effect Analysis (FMEA). The possible failure situations in the system and design are investigated separately and considered in a Hierarchical FMEA worksheet form. The authors propose three different methodological methods based on hybridized fuzzy logic and FMEA.

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Smaranda, Ionescu Daniela, Ionescu Gheorghe C-tin, and Carol Daroczi. "Failure mode and effect analysis of water supply systems." Acta Agraria Debreceniensis, no. I (October 5, 2010): 255–61. http://dx.doi.org/10.34101/actaagrar/i/8412.

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The present paper intends to overview the problems of the failure mode and effect analysis of water supply systems. The author’s efforts werechanneled to systemizing, classifying and adapting the content to the hydraulics engineering field.

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Oliveira, João, Gonçalo Carvalho, Bruno Cabral, and Jorge Bernardino. "Failure Mode and Effect Analysis for Cyber-Physical Systems." Future Internet 12, no. 11 (2020): 205. http://dx.doi.org/10.3390/fi12110205.

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Cyber-Physical Systems (CPS) are a prominent component of the modern digital transformation, which combines the dynamics of the physical processes with those of software and networks. Critical infrastructures have built-in CPS, and assessing its risk is crucial to avoid significant losses, both economic and social. As CPS are increasingly attached to the world’s main industries, these systems’ criticality depends not only on software efficiency and availability but also on cyber-security awareness. Given this, and because Failure Mode and Effect Analysis (FMEA) is one of the most effective met

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