Abstract
This paper concerns on detection and classification of machinery conditions by the application of patter recognition. In previous paper, the Kullback discrimination information with AR model has been applied to detect the pre-assumed conditions of a compressor, (1) normal, (2) suction filter choking, (3) suction valve spring failure, (4) piston ring wear, (5) suction valve failure and combination of (2)-(5). This method could classify these conditions. In this paper, this method is compared with another similar pattern recognition method, correlation function method, from the point of anti-noise characteristics.
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