Title :
Basic Theory of Fuzzy Bayesian Networks and Its Application in Machinery Fault Diagnosis
Author :
Tang, Hao ; Liu, Shi
Author_Institution :
Xi´´an Jiaotong Univ., Xi´´an
Abstract :
Bayesian network is an effective uncertain knowledge representation and reasoning method. Fuzzy sets can be used for expressing fuzzy events or fuzzy objectives in some special region. Combining these two theories, this paper discusses the probability of the fuzzy event and presents a hybrid inference system with fuzzy sets and Bayesian networks which are called "Fuzzy Bayesian Networks (FBNs) ". Then a case demonstrates the validity of FBNs in machinery fault diagnosis.
Keywords :
belief networks; fault diagnosis; fuzzy set theory; Bayesian network; fuzzy Bayesian networks; fuzzy sets; hybrid inference system; machinery fault diagnosis; reasoning method; uncertain knowledge representation; Bayesian methods; Bismuth; Equations; Fault diagnosis; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Inference algorithms; Knowledge representation; Machinery;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.202
