Fault Diagnosis Based on Entropy and Rough Set
Zhang Cong-e · Journal of Information Engineering University · 2005
An approach to fault diagnosis in system is presented based on information entropy and rough sets theory. New entropy to evaluate system status is used, which can confirm fault levels and collect data. The decision rules are extracted by relative reduction of an improved discernibility matrix, and the conflicting information is done. On the base of this, the integrative diagnosis rules are extracted.