Title :
A Fuzzy Method for Risk Quantitative Analysis of System Failure
Author :
Ran, Hai-chao ; Sun, Li-hua ; Guo, Ying-Jun ; Zhang, Jin-feng
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
There are many of failure modes with RCM (reliability-centered maintenance) analyses for fire system of large space building. It is necessary to select most important failure mode from all failure modes in order to deal with effectively these failure modes with limit manpower and resource. Three quantitative evaluation indexes for failure effects severity, failure mode occurrence probability, and failure detect-ability are given for failure modes in this paper. With the three indexes, fuzzy logic inference method is proposed based on FMECA (failure mode, effects and critical analysis) and fuzzy mathematics for evaluating failure mode´s risk of fire system. With co2AFS (automatic fire system) for examples, analysis process of fuzzy logic inference method is expounded
Keywords :
building management systems; fires; fuzzy logic; fuzzy reasoning; reliability; risk analysis; co2 automatic fire system; failure detect-ability; failure effect severity; failure mode occurrence probability; fuzzy logic inference method; fuzzy mathematics; large space building; quantitative evaluation index; reliability-centered maintenance; risk evaluation; system failure; Cybernetics; Failure analysis; Fires; Fuzzy logic; Fuzzy systems; Machine learning; Maintenance; Mathematics; Radio access networks; Risk analysis; Smoke detectors; Space technology; Large space building; co2AFS; fuzzy mathematic; reliability engineering; risk evaluation;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258910