Fuzzy-Statistical Reasoning in Fault Diagnosis

摘要: When searching for faults threatening a system, the human expert is sometimes performing an amazingly accurate analysis of available information, frequently by using only elementary statistics. Such reasoning referred to as “fuzzy reasoning,” in sense that able extract and analyse essential information interest from data set strongly affected uncertainty. Automating mechanisms represent foundation such is, general, difficult attempt, but also possible one, some cases. The chapter introduces nonconventional method fault diagnosis, based upon statistical fuzzy concepts applied vibrations, which intends automate part when detection classification defects.