Results 21 to 30 of about 636 (175)
Sensors, 2017 Failure mode and effect analysis (FMEA) is a useful tool to define, identify, and eliminate potential failures or errors so as to improve the reliability of systems, designs, and products.
Xinyang Deng, Wen Jiang
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A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process [PDF]
International Journal of Computational Intelligence Systems, 2012 Process Failure Modes and Effects Analysis (PFMEA) concept, has been developed based on the success of Failure Modes and Effects Analysis (FMEA) to include a broader analysis team for the realization of a comprehensive analysis in a short time.The most common use of the PFMEA involves manufacturing processes as they are required to be closely examined ...
Mehmet Ekmekçioğlu, Ahmet Can Kutlu
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Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja
Jurnal Rekayasa Sistem Industri, 2017 This study aims to identify and analyze the risk factors of work accidents. Failure Mode and Effect Analysis (FMEA) and Fuzzy Logic approach are applied.
Ronald Sukwadi +2 more
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IEEE Access, 2023 Failure mode and effects analysis (FMEA) is a reliability analysis method that analysis all possible failure modes for each product in a system and all possible effects of failure modes on the system, to classify each failure mode and to propose ...
Zihui Liu, Zheng Wei, Yanhong Fang
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Fuzzy-FMEA risk evaluation approach for LHD machine – A case study
Journal of Sustainable Mining, 2019 Improvement of productivity has become an important goal for mining industries in order to meet the expected targets of production and increased price competitiveness. Productivity can be improved in different ways.
Jakkula Balaraju +2 more
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A Fuzzy-FMEA Risk Assessment Approach for Offshore Wind Turbines [PDF]
International Journal of Prognostics and Health Management, 2020 Failure Mode and Effects Analysis (FMEA) has been extensively used by wind turbine assembly manufacturers for risk and reliability analysis. However, several limitations are associated with its implementation in offshore wind farms: (i) the failure data gathered from SCADA system is often missing or unreliable, and hence, the assessment information of ...
Dinmohammadi, Fateme, Shafiee, Mahmood
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IEEE Access, 2020 A monotone fuzzy rule relabeling (MFRR) algorithm has been introduced previously for tackling the issue of a non-monotone fuzzy rule base in the Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS).
Lie Meng Pang +3 more
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A Novel Failure Mode and Effects Analysis Method Based on Fuzzy Evidential Reasoning Rules
IEEE Access, 2019 Failure mode and effects analysis (FMEA) is an effective reliability analysis technique and has been used for safety and dependability analysis in a wide range of fields. In the traditional FMEA, a method called risk priority number (RPN) has been widely
Wen Jiang, Zhipeng Zhang, Xinyang Deng
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Failure Modes and Effects Analysis under Fuzzy Environment Using Fuzzy Axiomatic Design Approach [PDF]
International Journal of Research in Industrial Engineering, 2017 Failure Modes and Effects Analysis (FMEA) is being widely used to detect and eliminate known and/or potential failures, problems, errors and so on from system design, process, and/or service, before they reach the customer.
H. R. Seiti +3 more
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Application of Grey Relational Analysis with Fuzzy AHP to FMEA Method [PDF]
Doğuş Üniversitesi Dergisi, 2012 Bu calismanin amaci bir tasarim HMEA uygulamasinda, hata turlerini onceliklendirmede kullanilabilecek uc farkli yontemi karsilastirmaktir. Bu yontemler; geleneksel HMEA risk oncelik siralamasi, Gri Iliski Analizi (risk faktorlerinin agirliklarinin esit oldugu varsayimi altinda) ve risk faktorlerine farkli agirliklar vermek uzere Gri Iliski Analizi ve ...
Sofyalıoğlu, Çiğdem, Öztürk, Şule
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