DocumentCode :
3756896
Title :
Adaptive Modular Approach for Online Fault Diagnosis of Discrete Event Systems
Author :
Moamar Sayed-Mouchaweh
Author_Institution :
Inst. Mines-Telecom Mines-Douai, Douai, France
fYear :
2015
Firstpage :
923
Lastpage :
928
Abstract :
In this paper, an adaptive modular approach is proposed to achieve the fault diagnosis of discrete event systems. The desired (normal) behavior is represented by a set of specifications while faults of each predefined fault type are considered to be the execution of specific fault behavior violating a specification. The inference of the fault type of each fault is achieved by a diagnosis module called diagnoser. This approach considers that only normal behavior is known in advance. Then, it adapts the diagnoser in order to integrate new specific fault behaviors into its inference engine. This adaptation allows increasing the diagnosis capacity, called diagnosability, over time.
Keywords :
"Fault diagnosis","Adaptation models","Valves","Sensors","Radio frequency","Mathematical model","Adaptive systems"
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International Conference on
Type :
conf
DOI :
10.1109/ICMLA.2015.230
Filename :
7424439
Link To Document :
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