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A GAFCM Clustering Analysis Model for Diesel Engine Faulty Diagnosis
Abstract:
A general fuzzy clustering analysis theory method is introduced at first, then a GAFCM algorithm and its implement steps are given. The diagnosis types of the test samples are judged by getting across the most of the Euclid pressing close degree choosing approximately principle. Practice proves that this method can be used to diagnose the diesel engine vibration faulty.
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745-748
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Online since:
February 2011
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© 2011 Trans Tech Publications Ltd. All Rights Reserved
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