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Journal articles on the topic 'Classification of failures'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Babkov, Yu V., E. E. Belova, and M. I. Potapov. "On the classification of motive power failures." Dependability 21, no. 4 (2021): 12–19. http://dx.doi.org/10.21683/1729-2646-2021-21-4-12-19.

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The Aim of the article is to develop a motive power failure classification to enable substantiated definition of dependability requirements for motive power as a part of a railway transportation system, as well as for organizing systematic measures to ensure a required level of its dependability over the life cycle. Methods. The terminology of interstate dependability-related standards was analysed and the two classifications used by OJSC “RZD” for estimating the dependability of technical systems and motive power were compared. The dependability of railway transportation systems is studied us

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Cheng, Hang, Xi Li, Zheng Bo Qin, and Chao Yong Huang. "Method of Bearing Fault Identification Based on SVM Decision Tree." Applied Mechanics and Materials 190-191 (July 2012): 1010–15. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.1010.

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This paper has put forward one method, combining with theory of decision tree and method of voting, and established one kind of multi-failure classifier of SVM, which could finish cross training, repeated classification and accumulative voting. This classifier could accomplish classification of failure bearings and do classification experiments among failures of kinds of bearings. The results have shown that this method could identify states of breakdown equipment for the purpose of diagnosis of failures of mechanical system accurately.

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Gunawardhana, D. N. T., and Chandana Perera. "Classification of Failure Factors in Information Systems." International Journal for Innovation Education and Research 3, no. 3 (2015): 201–11. http://dx.doi.org/10.31686/ijier.vol3.iss3.339.

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Failure rate of Information Systems have rapidly increased in different aspects due to different reasons. Although above situation is not a new sight in the field of Information System, it creates many obstacles to regular activities of any organization. The failure of Information System has become a common state for any organization or industry and not depending on their rank or status. Numerous factors may have affected for Information System Failures and these factors are functioning together or individually to create the failure situation of Information Systems. The objective of this paper

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4

Rodrigues, João Antunes, Alexandre Martins, Mateus Mendes, José Torres Farinha, Ricardo J. G. Mateus, and Antonio J. Marques Cardoso. "Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning." Energies 15, no. 24 (2022): 9387. http://dx.doi.org/10.3390/en15249387.

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Monitoring the condition of industrial equipment is fundamental to avoid failures and maximize uptime. The present work used supervised and unsupervised learning methods to create models for predicting the condition of an industrial machine. The main objective was to determine when the asset was either in its nominal operation or working outside this zone, thus being at risk of failure or sub-optimal operation. The results showed that it is possible to classify the machine state using artificial neural networks. K-means clustering and PCA methods showed that three states, chosen through the El

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Kumari, H. M. N. S., and U. M. M. P. K. Nawarathne. "Machine Failure Prediction Using Multilabel Classification Methods." Journal of Advances in Engineering and Technology 2, no. 2 (2024): 37–45. http://dx.doi.org/10.54389/oknw9621.

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Early detection of machine failure is crucial in every industrial setting as it may prevent unexpected process downtimes as well as system failures. However, machine learning (ML) models are increasingly being utilized to forecast system failures in industrial maintenance, and among them, multilabel classification techniques act as efficient methods. Therefore, this study analyzed machine failure data with five types of machine failures. Initially, a feature selection approach was also carried out in this study to determine the variables which directly cause machine failure. Furthermore, multi

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Skaalsvik, Hugo. "Service failures in a cruise line context: Suggesting categorical schemes of service failures." European Journal of Tourism Research 4, no. 1 (2011): 25–43. http://dx.doi.org/10.54055/ejtr.v4i1.60.

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This paper reports a study on service failures carried out on the prestigious Norwegian Coastal Voyage (NCV) or the Hurtigruten which is the brand name. Service failures are studied from the perspective of the service employees. Seven tour conductors participated in the study and in the research personal, face-to-face, in-depth interviews were carried out using an interview guide as a data collection tool. The respondents provided descriptive accounts of 51 service failure incidents which were used to develop a classification scheme of service failures. The service failure classification schem

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Khairnar, Mayur, A. Raam Prasath, Tejasvi Seth, Sanika Dhamapurkar, and Darshana Raut. "KHAIRNAR’S Pterygoid Classification: Pterygo-Maxillary Anatomical Variation-Guided Approach for Placement of Pterygoid Implants." Journal of Pharmacy and Bioallied Sciences 17, Suppl 2 (2025): S1505—S1507. https://doi.org/10.4103/jpbs.jpbs_66_25.

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ABSTRACT Background: Implant placement in the pterygoid region has been a complex challenge due to anatomical variability and limited bone availability. Khairnar’s Collectives introduces a novel clinical classification system to streamline predictable pterygoid implant placement, addressing the unique anatomical considerations for successful outcomes. Materials and Methods: This retrospective study analyzed 597 pterygoid implants placed over 6 years. Implants were classified into six types (1–6) with each subtype A and B based on Khairnar’s pterygoid bone classification, which assesses bone in

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Listewnik, Karol Jakub. "A Method for the Evaluation of Power-Generating Sets Based on the Assessment of Power Quality Parameters." Energies 15, no. 14 (2022): 5305. http://dx.doi.org/10.3390/en15145305.

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This article presents a new method for the classification of machine failures using an example of selected generating sets. Measurements and an analysis of the electrical parameters, such as the phase-to-phase voltages at the terminals of a synchronous generator, armature current, and voltage and excitation current of a synchronous generator, are the basis for determining the failure symptoms. The existing energy quality coefficients are adopted as symptoms for the assessment of failures in the monitored generating set. We assume in this method that the description of the input–output relation

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9

Mendes Júnior, José Jair Alves, Marcelo Bissi Pires, Mário Elias Marinho Vieira, Sérgio Okida, and Sergio Luiz Stevan Jr. "Neural Network to Failure Classification in Robotic Systems." Brazilian Journal of Instrumentation and Control 4, no. 1 (2016): 1. http://dx.doi.org/10.3895/bjic.v4n1.4663.

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A robotic system is a reconfigurable element, and inits programming, an algorithm can be implemented in order todetect and classify failures. This is an important step to ensurethat errors in actions do not cause damage or bring risks.Considering this, a Neural Network Multi Layer Perceptron(MLP) was used, in order to classify a set of failures in robotactuators, present in a database. This purpose is to analyze ifrobotic failures could be classified by MLP. The raw data aredivided in a temporal progression manner and torque in x, y andz axes. In total, five MLP neural networks were implemente

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Bahari, Shahril Anuar, and Mansur Ahmad. "Failure Behaviour of Semantan Bamboo Strips Loaded in Bending and Shear." Key Engineering Materials 462-463 (January 2011): 1176–81. http://dx.doi.org/10.4028/www.scientific.net/kem.462-463.1176.

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In this study, the classification of modes of failure, the observation of microscopic failures and the mechanical properties of Semantan bamboo strips were investigated. Specimens were loaded in bending and shear parallel to grain. Specimens were taken from internodes and node parts in bottom, middle and top portions of bamboo culms. From the classification, different modes of failure occurred in different parts of Semantan bamboo culms loaded in bending and shear. From the microscopic observation, the failures occurred in both parenchyma and vascular bundles regions for all classified failure

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Scott, P. J., and R. V. Yampolskiy. "Classification Schemas for Artificial Intelligence Failures." Delphi - Interdisciplinary Review of Emerging Technologies 2, no. 4 (2019): 186–99. http://dx.doi.org/10.21552/delphi/2019/4/8.

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Borkowski, Piotr, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń, and Marcin Sydow. "Eigenvalue based spectral classification." PLOS ONE 18, no. 4 (2023): e0283413. http://dx.doi.org/10.1371/journal.pone.0283413.

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This paper describes a new method of classification based on spectral analysis. The motivations behind developing the new model were the failures of the classical spectral cluster analysis based on combinatorial and normalized Laplacian for a set of real-world datasets of textual documents. Reasons of the failures are analysed. While the known methods are all based on usage of eigenvectors of graph Laplacians, a new classification method based on eigenvalues of graph Laplacians is proposed and studied.

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Mohammad. R. Abood, Amera. I. Hussein, and Marwan. A. Marhon. "Study of rock slope stability for formation outcrops in limb north eastern poor anticline North Iraq." Tikrit Journal of Pure Science 22, no. 3 (2023): 119–29. http://dx.doi.org/10.25130/tjps.v22i3.721.

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This Study aims at rock Slopes Stability for formation in limb northـeastern poor anticline (Fatha, Injana and Mukdadyah). In (5) Stations, representing all types of failures (taken place and possible). General Survey for rock Slopes included Classification and engineering description according to [1][2]. The slopes in the area are Classified based on the direction of the Strike Slopes and Strike of beds into Parallel and Oblique Lateral Slopes according to [3] Classification and the Slope Types are Concordant Slope and discordant Slope. The main modes of Failures involved rock Fall and

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Cruz, Claudinei Oliveira, Henrique Nogueira Soares, and Hernani Mota de Lima. "Tailings dams’ classification based on risk using data from SIGBM." Caderno Pedagógico 21, no. 3 (2024): e3359. http://dx.doi.org/10.54033/cadpedv21n3-164.

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The Brumadinho and Mariana tailings dam failures in Brazil tragically highlighted the critical need for robust risk management in the mining sector. Tailings dams, by their very nature, pose significant risks to downstream communities and the environment in the event of failure. To mitigate these risks, a comprehensive risk classification system is essential. This abstract emphasizes the real-world impact of dam failures and strengthens the importance of risk classification. Risk analysis plays a central role in identifying, quantifying, and ultimately mitigating the potential consequences of

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Pietkiewicz, Paweł. "Typical Failures of Gear Pumps. Defects Classification." Technical Sciences 12, no. -1 (2009): 219–28. http://dx.doi.org/10.2478/v10022.009-0018-3.

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Eikeland, Odin Foldvik, Filippo Maria Bianchi, Inga Setså Holmstrand, Sigurd Bakkejord, Sergio Santos, and Matteo Chiesa. "Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case." Energies 15, no. 1 (2022): 305. http://dx.doi.org/10.3390/en15010305.

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Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific power grid in the Arctic region of Northern Norway. First, we collected data pertaining to the grid topology, the topography of the area, the historical meteorological data, and the historical energy consumption/production data. Then, we exploited statistical and machine-learning techniques to predict the occurrence of failures. The classification models achieve good performance, meaning that there is a significant rela

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Bykova, O. V. "Analysis of failures in the operation of technical means on the example of the landfill of the Northern Railway." Transport Technician: Education and Practice 1, no. 4 (2020): 345–51. http://dx.doi.org/10.46684/2687-1033.2020.4.345-351.

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Discussed issues that affect the reliability of various elements of the infrastructure of railway transport, such as the railway track, power supply devices, artificial structures, rolling stock, automation devices, telemechanics and communications. The main technical devices of railway transport are listed. The classification of failures in the operation of technical means of transport is given, depending on their category; classification of technical equipment, the failures of which are subject to obligatory accounting or to be accounted for in cases of their influence on the transportation

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Plucinski, Mateusz M., Lindsay Morton, Mary Bushman, Pedro Rafael Dimbu, and Venkatachalam Udhayakumar. "Robust Algorithm for Systematic Classification of Malaria Late Treatment Failures as Recrudescence or Reinfection Using Microsatellite Genotyping." Antimicrobial Agents and Chemotherapy 59, no. 10 (2015): 6096–100. http://dx.doi.org/10.1128/aac.00072-15.

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ABSTRACTRoutine therapeutic efficacy monitoring to measure the response to antimalarial treatment is a cornerstone of malaria control. To correctly measure drug efficacy, therapeutic efficacy studies require genotyping parasites from late treatment failures to differentiate between recrudescent infections and reinfections. However, there is a lack of statistical methods to systematically classify late treatment failures from genotyping data. A Bayesian algorithm was developed to estimate the posterior probability of late treatment failure being the result of a recrudescent infection from micro

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19

Checchi, Vittorio, Roberta Gasparro, Roberto Pistilli, Luigi Canullo, and Pietro Felice. "Clinical Classification of Bone Augmentation Procedure Failures in the Atrophic Anterior Maxillae: Esthetic Consequences and Treatment Options." BioMed Research International 2019 (February 12, 2019): 1–16. http://dx.doi.org/10.1155/2019/4386709.

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Although the number of complications and failures in bone augmentation procedures is still relatively high, these problems remain poorly documented. Moreover, the literature concerning reconstructive techniques and the treatment of their complications in the anterior areas rarely considers the final esthetic result. The aim of this paper is to propose a new classification of bone augmentation complications in the esthetic area, providing treatment guidelines useful for the management of these cases. Failures of bony regeneration procedures can be mainly divided into partial failures and comple

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Lee, Seungyub, Sueyeun Oak, Donghwi Jung, and Hwandon Jun. "Development of Failure Cause–Impact–Duration (CID) Plots for Water Supply and Distribution System Management." Water 11, no. 8 (2019): 1719. http://dx.doi.org/10.3390/w11081719.

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Understanding the impact and duration (consequences) of different component failures (cause) in a water supply and distribution system (WSDS) is a critical task for water utilities to develop effective preparation and response plans. During the last three decades, few efforts have been devoted to developing a visualization tool to display the relationship between the failure cause and its consequences. This study proposes two visualization methods to effectively show the relationship between the two failure entities: A failure cause–impact–duration (CID) plot, and a bubble plot. The former is

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SHEHOVTSEVA, T. V., and E. V. SHEHOVTSEVA. "THE ESTIMATION OF GEARS CONTACT FAILURES OVER THE TOOTH SURFACES." Fundamental and Applied Problems of Engineering and Technology 4, no. 2 (2020): 103–11. http://dx.doi.org/10.33979/2073-7408-2020-342-4-2-103-111.

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The article deals with the generalized classification of gears failures with detailed analysis of failures types in the contact fatigue of gears working surfaces and the development of the contact fatigue process. The criteria of the contact failure estimation of the gears working surfaces in failure of tooth surface are analyzed. The tests for the contact fatigue for the experimental models are conducted. The cycle operating dependence of pitting level over the working surfaces in depth of dimples is defined on basis of tests.

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22

Golub, Dmitry, Viktor Bilichenko, Viktor Aulin, Artem Zamurenko, and Ruslan Kichura. "Methodological approach to solving the problem of functional reliability of automobile transport systems." Journal of Mechanical Engineering and Transport 19, no. 1 (2024): 29–38. http://dx.doi.org/10.31649/2413-4503-2024-19-1-29-38.

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An analysis of methods and techniques for solving the problem of increasing and ensuring the appropriate level of reliability of technical systems was carried out, which made it possible, based on the use of analogies, to find out the directions for ensuring the reliability of automobile transport systems. The essence of the concept of the reliability of the functioning of automobile transport systems for the transportation of goods and passengers from a methodological point of view is clarified. The insufficiency of regulatory and legal documentation for the development of methods and techniq

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Bolshakov, N. A., A. Y. Artemov, A. М. Vorochai, et al. "Complications after endoprosthetic reconstruction for the tumor around the knee in children and adolescents." Bone and soft tissue sarcomas, tumors of the skin 12, no. 2-3 (2020): 36–44. http://dx.doi.org/10.17650/2070-9781-2020-21-3-36-44.

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The objective: аnalysis of complications after endoprosthetic reconstruction in children and adolescents according to the Henderson classification of failure of limb salvage surgery modified by the International Society of Limb Salvage committee (ISOLS).Materials and methods.This study evaluates complications rates and mode of failures after endoprosthetic reconstruction for the tumor around the knee in 97 patients treated from 2012 to 2018 in D. Rogachev National Medical Research Center of Pediatric Hematology, Oncology, Immunology.Results. Overall 19,6 % of failures were identified. The most

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Sobhy, Mostafa A., Gehad M. Hegazy, and Ahmed H. El-Banbi. "Dual-Level Electric Submersible Pump (ESP) Failure Classification: A Novel Comprehensive Classification Bridging Failure Modes and Root Cause Analysis." Energies 18, no. 15 (2025): 3943. https://doi.org/10.3390/en18153943.

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Electric submersible pumps (ESPs) are critical for artificial lift operations; however, they are prone to frequent failures, often resulting in high operational costs and production downtime. Traditional ESP failure classifications are limited by lack of standardization and the conflation of failure modes with root causes. To address these limitations, this study proposes a new two-step integrated failure modes and root cause (IFMRC) classification system. The new framework clearly distinguishes between failure modes and root causes, providing a systematic, structured approach that enhances fa

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Fan, Lihong, Rui Tu, Zengji Zheng, et al. "Evaluation of Signal-in-Space Continuity and Availability for BeiDou Satellite Considering Failures." Journal of Navigation 73, no. 2 (2019): 312–23. http://dx.doi.org/10.1017/s0373463319000602.

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Signal-in-space (SIS) continuity and availability are important indicators of performance assessment for Global Navigation Satellite Systems (GNSSs). The BeiDou Navigation Satellite System (BDS) Open Service Performance Standard (BDS-OS-PS-1.0) has been released, and the corresponding public performance indicators have been provided, but the actual SIS performance is uncertain to users. SIS continuity and availability are primarily related to unscheduled outages (failures). Therefore, based on the existing failure classification system and actual operation modes, four types of failure modes ar

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Banduka, Nikola, Aleksandar Aleksić, Nikola Komatina, Amanda Aljinović, and Danijela Tadić. "The prioritization of failures within the automotive industry: The two-step failure mode and effect analysis integrated approach." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 12 (2020): 1559–70. http://dx.doi.org/10.1177/0954405420926906.

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Traditionally, in the automotive industry, the risk posed by failures in manufacturing is based on the conventional process failure mode and effect analysis. The market changes, as well as limited financial resources dedicated to business improvement, induce the need for employment of advanced management tools. The rating of failures is derived from the research using the suggested fuzzy classification method based on the Pareto analysis. It is assumed that the classification criterion should be determined as the product of the overall product choice and the risk priority numbers given by appl

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Nawfal Mustafa, Mohanad. "Classification of maintenance techniques and diagnosing failures methods." Journal of Physics: Conference Series 2060, no. 1 (2021): 012014. http://dx.doi.org/10.1088/1742-6596/2060/1/012014.

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Abstract Equipment components essentially the parts responsible for power transmission and bearings will expose to multiple types of stresses, including external stresses coming from the nature of the working and internal stresses resulting from movement between the moving parts or thermal industrial processes. These stresses lead to damage or defect, which adversely affect the current or future performance of these systems. To ensure the reliability of the machine or structure has to establish a continuous condition monitoring system that can detect the abnormal condition state early. This pa

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Adam, M., and J. C. Aurich. "Classification of Seemingly Random Failures Using Similarity Analysis." Procedia CIRP 12 (2013): 480–85. http://dx.doi.org/10.1016/j.procir.2013.09.082.

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Harrop, L. P. "A classification system for pressure vessel shell failures." International Journal of Pressure Vessels and Piping 38, no. 3 (1989): 189–99. http://dx.doi.org/10.1016/0308-0161(89)90014-8.

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Iswalhia, Magdi Mohamed, and Amal Emhemed Benjareed. "Clinical Evaluation of the Failures in Fixed Partial Dentures." Pakistan Journal of Medical and Health Sciences 16, no. 11 (2022): 724–25. http://dx.doi.org/10.53350/pjmhs20221611724.

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The researchers in this study set out to do just that by investigating what goes wrong with people's permanent dental prostheses in Libya. One hundred patients from the clinic in Gharyan, Libya, who had come in complaining of problems with their fixed dental prostheses were included in the study, and the reasons for their failure were categorized using Manappallil's system. Failures in Class 3 accounted for 30% of all failures, Class 4 for 24%, Classes, 2, and 4 for 8%, Classes 5 and 6 for 15%, and Class 6 for 11%. Class 1 for 8%, Class 2 for 12%, Class 4 for 24% Class 5 for 15 % and Class 6 f

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Wenner, Michaela, Clément Hibert, Alec van Herwijnen, Lorenz Meier, and Fabian Walter. "Near-real-time automated classification of seismic signals of slope failures with continuous random forests." Natural Hazards and Earth System Sciences 21, no. 1 (2021): 339–61. http://dx.doi.org/10.5194/nhess-21-339-2021.

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Abstract. In mountainous areas, rockfalls, rock avalanches, and debris flows constitute a risk to human life and property. Seismology has proven a useful tool to monitor such mass movements, while increasing data volumes and availability of real-time data streams demand new solutions for automatic signal classification. Ideally, seismic monitoring arrays have large apertures and record a significant number of mass movements to train detection algorithms. However, this is rarely the case, as a result of cost and time constraints and the rare occurrence of catastrophic mass movements. Here, we u

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Putro, Egy Ciptia, Habiburrahman Zulfikri, and Andy Noorsaman Sommeng. "Deep Learning Application as a Method for Classification Equipment Failure on Natural Gas Pipeline." Cognizance Journal of Multidisciplinary Studies 4, no. 6 (2024): 87–97. http://dx.doi.org/10.47760/cognizance.2024.v04i06.009.

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Predicting maintenance and preventing failures in natural gas pipelines is critical for safety and efficiency in the oil and gas industry. This research utilizes machine learning (ML) and deep learning (DL) methods to predict failures in natural gas transmission pipelines. Using a dataset from the U.S. Department of Transportation’s Pipeline and Hazardous Materials Safety Administration (PHMSA), the study examines failure incidents from 2010-2019 and non-failure data from 2020-2023. The research involves comprehensive data preprocessing, addressing missing values and dataset imbalances. Key pi

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Hee, Lim Meng, M. Salman Leong, and K. H. Hui. "Blade Faults Classification and Detection Methods: Review." Advanced Materials Research 845 (December 2013): 123–27. http://dx.doi.org/10.4028/www.scientific.net/amr.845.123.

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Blade faults are ranked among the most frequent causes for gas turbine failures. This paper provides a review on the types of blade faults as well as its pertinent detection methods. In this paper, blade faults are categorized into five major groups according to their nature and characteristics namely, blade rubbing, blade fatigue failures, blade deformation, blade fouling, and blade root related problems such as cracked root and loose blade. This paper aims to provide an overview on the characteristics of each type of blade fault as well as its best detection methods available to date.

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Ganz, Nancy, Alicia E. Ares, and Horacio D. Kuna. "Procedure to improve the accuracy of dental implant failures by data science techniques." Journal of Computer Science and Technology 21, no. 2 (2021): e13. http://dx.doi.org/10.24215/16666038.21.e13.

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Nowadays, the prediction about dental implant failure is determined through clinical and radiological evaluation. For this reason, predictions are highly dependent on the Implantologists’ experience. In addition, it is extremely crucial to detect in time if a dental implant is going to fail, due to time, cost, trauma to the patient, postoperative problems, among others. This paper proposes a procedure using multiple feature selection methods and classification algorithms to improve the accuracy of dental implant failures in the province of Misiones, Argentina, validated by human experts. The e

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Hopwood, Michael W., Lekha Patel, and Thushara Gunda. "Classification of Photovoltaic Failures with Hidden Markov Modeling, an Unsupervised Statistical Approach." Energies 15, no. 14 (2022): 5104. http://dx.doi.org/10.3390/en15145104.

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Failure detection methods are of significant interest for photovoltaic (PV) site operators to help reduce gaps between expected and observed energy generation. Current approaches for field-based fault detection, however, rely on multiple data inputs and can suffer from interpretability issues. In contrast, this work offers an unsupervised statistical approach that leverages hidden Markov models (HMM) to identify failures occurring at PV sites. Using performance index data from 104 sites across the United States, individual PV-HMM models are trained and evaluated for failure detection and trans

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Egy, Ciptia Putro, Zulfikri Habiburrahman, and Noorsaman Sommeng Andy. "Deep Learning Application as a Method for Classification Equipment Failure on Natural Gas Pipeline." Cognizance Journal of Multidisciplinary Studies (CJMS) 4, no. 6 (2024): 87–97. https://doi.org/10.47760/cognizance.2024.v04i06.009.

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<strong><em>Predicting maintenance and preventing failures in natural gas pipelines is critical for safety and efficiency in the oil and gas industry. This research utilizes machine learning (ML) and deep learning (DL) methods to predict failures in natural gas transmission pipelines. Using a dataset from the U.S. Department of Transportation’s Pipeline and Hazardous Materials Safety Administration (PHMSA), the study examines failure incidents from 2010-2019 and non-failure data from 2020-2023. The research involves comprehensive data preprocessing, addressing missing values and dataset

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Aktaukenov, D., M. Alshaalan, Z. Omirbekova, and E. Pinsky. "A predictive model for oil well maintenance: a case study in Kazakhstan." SOCAR Proceedings, no. 1 (March 30, 2024): 48–56. http://dx.doi.org/10.5510/ogp20240100939.

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This paper proposes a predictive model to help oil workers build a reliable model for identifying oilwell failures. It can help geologists experienced with Machine Learning to improve the accuracy of failure identification and a more accurate approach to well-maintenance planning. This study is based on output data statistics such as per-well daily oil flowmeter readings. The volatility of these indications makes it possible to determine the probability of an oilwell failure. This method makes it possible to rank wells according to the principle of the most probable failures for workers making

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Pathania, Amita, and Sunita Tanwar. "Decoding startup failures in Indian startups: Insights from Interpretive Structural Modeling and Cross-Impact Matrix Multiplication Applied to Classification." Journal of Entrepreneurship, Management and Innovation 20, no. 2 (2024): 93–116. http://dx.doi.org/10.7341/20242025.

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PURPOSE: Start-ups are widely acknowledged as crucial catalysts for innovation and drivers of economic progress. However, their vulnerability to failure continues to pose a persistent and significant obstacle. In light of this, the study intends to ascertain the various elements responsible for the elevated incidence of start-up failures and examine their contextual associations. It further aims to establish the hierarchical structure and identify the crucial factors of start-up failure. METHODOLOGY: The paper uses the Interpretive Structural Modeling (ISM) approach to determine the structural

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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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Elder, Benjamin D., Nikita Lakomkin, Scott L. Zuckerman, et al. "Distal junctional failure following pelvic instrumentation in spinal fusion: a novel classification system." Neurosurgical Focus 58, no. 6 (2025): E14. https://doi.org/10.3171/2025.3.focus24969.

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OBJECTIVE While traditional literature in adult spinal deformity (ASD) examining mechanical complications has focused on proximal junctional kyphosis and failure, distal junctional failure (DJF) of constructs ending at the sacrum with or without spinopelvic fixation remains less explored. The current study sought to 1) propose a new DJF classification with a panel of experienced deformity surgeons, and 2) analyze intra- and interreliability of the novel classification. METHODS A prior review study was completed that identified all types of distal complications for lumbosacral fusions. A panel

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Mohammed Rashid Aboud and Ali Ismail Hassan. "Studying of rock slope stability for southeastern plunge of Bekhair anticline, North Iraq." Tikrit Journal of Pure Science 25, no. 4 (2020): 36–43. http://dx.doi.org/10.25130/tjps.v25i4.269.

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The research aims to study rock slope stability for southeastern plunge of Bekhair anticline north Iraq which formations (Bekhme, Shiranish, Kolosh) are cropped out in the area and assessment all factors affecting on stability such as discontinuities. Engineering classification according to[1] and [2], attitude of beds, slopes and friction angle of marl through studying of (4) stations represented the types of failures, occurs or probable to occur. The study shows that the slopes in the area are parallel concordant and discordant while the failures including the main modes of failures such as

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Mordecai, Edna M. "A classification of empathic failures for psychotherapists and supervisors." Psychoanalytic Psychology 8, no. 3 (1991): 251–62. http://dx.doi.org/10.1037/h0079282.

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Bachoc, François, Céline Helbert, and Victor Picheny. "Gaussian process optimization with failures: classification and convergence proof." Journal of Global Optimization 78, no. 3 (2020): 483–506. http://dx.doi.org/10.1007/s10898-020-00920-0.

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Frumosu, Flavia Dalia, Abdul Rauf Khan, Henrik Schiøler, Murat Kulahci, Mohamed Zaki, and Peter Westermann-Rasmussen. "Cost-sensitive learning classification strategy for predicting product failures." Expert Systems with Applications 161 (December 2020): 113653. http://dx.doi.org/10.1016/j.eswa.2020.113653.

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Subramaniam, Raghav. "Identifying Text Classification Failures in Multilingual AI-Generated Content." International Journal of Artificial Intelligence & Applications 14, no. 5 (2023): 57–63. http://dx.doi.org/10.5121/ijaia.2023.14505.

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With the rising popularity of generative AI tools, the nature of apparent classification failures by AI content detection softwares, especially between different languages, must be further observed. This paper aims to do this through testing OpenAI’s “AI Text Classifier” on a set of human and AI-generated texts inEnglish, German, Arabic, Hindi, Chinese, and Swahili. Given the unreliability of existing tools for detection of AIgenerated text, it is notable that specific types of classification failures often persist in slightly different ways when various languages are observed: misclassificati

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Sujatha, P., A. Amala, Uday Kumar Burugu, Gopavarapu Indrasena Reddy, and Vamshi Krishna Balla. "ENSEMBLE-BASED APPROACH FOR PREDICTIVE CLASSIFICATION OF TRANSFORMER FAILURES." Journal of Science Engineering Technology and Management Sciences 2, no. 7 (2025): 455–64. https://doi.org/10.63590/jsetms.2025.v02.i07.pp455-464.

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Castro, Patricio F., George Rossany Soares de Lira, Pablo Bezerra Vilar, Edson G. da Costa, and Fabricio B. S. Carvalho. "Fuzzy Inference System Development for Turbogenerator Failure Diagnosis on Floating Production Offloading and Storage Platform." Energies 17, no. 2 (2024): 392. http://dx.doi.org/10.3390/en17020392.

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This paper introduces a novel approach for diagnosing failures within a turbogenerator mineral lube oil system, employing a fuzzy inference system (FIS) model. The study leverages real operational data collected from supervisory monitoring sensors across four turbogenerators over a three-year operational span, resulting in a dataset comprising 40,456,663 input parameters. The failure modes were established through expert knowledge, using the Failure Mode, Effect, and Criticality Analysis (FMECA) documentation as the basis. Initially, the model’s universe variables were constructed using the se

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Bykova, Ol'ga. "The Impact of Natural and Climatic Change on the Railway Transport Operation Focusing on the Severnaya (North) Railway." Bulletin of scientific research results 2025, no. 2 (2025): 120–32. https://doi.org/10.20295/2223-9987-2025-2-120-132.

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Purpose: To investigate the impact of natural and climatic factors on railway infrastructure by conducting a thorough analysis of equipment failures that have occurred at various divisions of the Severnaya Railway (SZHD). To develop a set of measures that will enhance the reliability of railway infrastructure facilities in regions characterized by harsh climates utilizing the data obtained. Methods: The analysis of failures in the operation of technical facilities that led to train delays was carried out using data from the CAS ANT automated system (A comprehensive automated system for account

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Riaz, Wasiq, Ayesha Aslam, and Sara Aziz. "DENTAL PROSTHESIS;." Professional Medical Journal 25, no. 08 (2018): 1261–64. http://dx.doi.org/10.29309/tpmj/2018.25.08.50.

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Introduction: Fixed dental prostheses (FDPs) are still preferred owing to theirdurability, esthetics, cost-effectiveness, adequate retention and lack of a surgical procedure.These restorations generally demonstrate longer life and durability in clinical service. Despitethe high survival rates, FDP complications are frequently encountered. Although severalstudies have reported on complications associated with FDPs, there is a lack of a standardand universal reporting system for FDP failures. Objectives: To evaluate FDP failures using aneasy classification scheme relevant to all conventional FDP

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Fadhel Wheed1, Safa, Safa Fadhel Wheed1, and Dr Mustafa J. Hayawi2. "Classification of ECG Signal Using Deep Convolutional Neural." Journal of Education for Pure Science- University of Thi-Qar 12, no. 2 (2023): 64–72. http://dx.doi.org/10.32792/jeps.v12i2.190.

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In the last ten years, the characterization and expectation of cardiac illnesses based on ECG signals have become increasingly important for doctors and patients. This paper delivers a deep learning technique that has recently been created for the order of ECG information with Normal Sinus Rhythm (NSR), Abnormal Arrhythmia (ARR), and Congestive Heart Failure (CHF). A sum of 162 ECG signals is open, including 96 arrhythmias, 30 Congestive Heart failures, and 36 Normal Sinus Rhythm signals. To exhibit the classification performance of deep learning architectures, this paper studied ECG using the

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