Title :
Diagnosis by approximate reasoning on dynamic fuzzy fault trees
Author_Institution :
Inst. of Autom. Control, Tech. Hochschule Darmstadt, Germany
Abstract :
An approximate-reasoning model for diagnosis of continuous dynamic systems is introduced based on a previously developed fuzzy extension of the fault tree analysis and synthesis approach. The concept of dynamic fuzzy fault tree naturally emerges from the act of matching the fuzzified fault tree with the dynamic symptoms. Management of the incipient fault dynamics via fuzzy information processing is illustrated on a simple example
Keywords :
diagnostic reasoning; fault diagnosis; fault trees; fuzzy set theory; inference mechanisms; reliability theory; uncertainty handling; approximate reasoning; continuous dynamic systems; dynamic fuzzy fault trees; dynamic symptoms; fault diagnosis; fuzzy information processing; incipient fault dynamics; Automatic control; Control system synthesis; Fault detection; Fault diagnosis; Fault trees; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Information processing; Reliability;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343524
