An improved method for risk evaluation in failure modes and effects analysis of CNC lathe
作者： N Rachieru , N Belu , D C Anghel
DOI: 10.1088/1757-899X/95/1/012139
关键词: Risk assessment 、 Stability (learning theory) 、 Fuzzy logic 、 Reliability engineering 、 Fuzzy number 、 Reliability (statistics) 、 Fuzzy rule 、 Engineering 、 Failure mode and effects analysis 、 Fuzzy set
摘要: Failure mode and effects analysis (FMEA) is one of the most popular reliability tools for identifying, assessing eliminating potential failure modes in a wide range industries. In general, FMEA are evaluated ranked through risk priority number (RPN), which obtained by multiplication crisp values factors, such as occurrence (O), severity (S), detection (D) each mode. However, RPN method has been criticized to have several deficiencies. this paper, linguistic variables, expressed Gaussian, trapezoidal or triangular fuzzy numbers, used assess ratings weights factors S, O D. A new assessment system based on set theory rule base be applied rank risks associated that could appear functioning Turn 55 Lathe CNC. Two case studies shown demonstrate methodology thus developed. It illustrated parallel between results traditional logic determining RPNs. The show proposed approach can reduce duplicated numbers get more accurate, reasonable assessment. As result, stability product process assured.
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