A fuzzy pulse discriminating system for electrical discharge machining

In this paper, the use of fuzzy set theory to construct a new pulse discriminator in electrical discharge machining (EDM) is reported. The classification of various discharge pulses in EDM is based on the features of the measured gap voltage and gap current. To obtain optimal classification performa...

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Bibliographic Details
Published inInternational journal of machine tools & manufacture Vol. 37; no. 4; pp. 511 - 522
Main Authors Tarng, Y.S., Tseng, C.M., Chung, L.K.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.04.1997
Elsevier
Subjects
Applied sciences
Exact sciences and technology
Mechanical engineering. Machine design
Fuzzy control
Fuzzy set
Pulse discriminator
Control system
Electrical discharge machining
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Summary:In this paper, the use of fuzzy set theory to construct a new pulse discriminator in electrical discharge machining (EDM) is reported. The classification of various discharge pulses in EDM is based on the features of the measured gap voltage and gap current. To obtain optimal classification performance, a machine learning method based on a simulated annealing algorithm is adopted to automatically synthesize the membership functions of the fuzzy pulse discriminator. Experimental results have shown that EDM discharge pulses can be not only correctly but also quickly classified under varying cutting conditions using this approach.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0890-6955
1879-2170
DOI:10.1016/S0890-6955(96)00033-8