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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Application of Support Vector Machines in Reciprocating Compressor Valve Fault Diagnosis
verfasst von : Quanmin Ren, Xiaojiang Ma, Gang Miao
Erschienen in: Advances in Natural Computation
Verlag: Springer Berlin Heidelberg
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Support Vector Machine (SVM) is a very effective method for pattern recognition. In this article, a intelligent diagnosis system based on SVMs is presented to solve the problem that there is not effective method for reciprocating compressor valve fault detection. The Local Wave method was used to decompose vibration signals, which acquired from valves surface, into sub-band signals. Then the higher-order statistics were calculated as the input features of classification system. The experiment results confirm that the classification technique has high flexibility and reliability on valve condition monitoring.