Recent Research Results on Intelligent Methods for Conditon Diagnosis of Rotating Machinery
نویسندگان
چکیده
This paper reports several intelligent diagnostic approaches for rotating machinery based on artificial intelligence methods and feature extraction of vibration signals. That is: the diagnosis method based on wavelet transform, rough sets and neural network; the diagnosis method based on sequential fuzzy inference; diagnosis approach by possibility theory and certainty factor model; the diagnosis method on the basis of adaptive filtering technique; feature extraction method based on information theory; the diagnosis method by time-frequency techniques and the relative crossing information (RCI) in unsteady operating conditions. These methods had been successfully applied to condition diagnosis in different kinds of practical rotating machinery. Keyword Condition diagnosis, Intelligent Method, Rotating Machinery, Feature extraction, Vibration signal.
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