The Application Research of Pattern Recognition for Failure Detection

Considering the characteristics of the mechanical equipment and the disadvantages of the existing diagnosis method, a new failure detection method based on pattern recognition is defined. Short time signal and linear distinguish function is adopted. Alone feature is combined for deciding. The method of sensitive and efficient is provided for detecting bearing fault. From the analysis result of the actual vibration signals, the proposed method is proven to be efficient in detecting and diagnosing the rolling element bearing faults. The method is put on application on bearing diagnosis and frication diagnosis . The results indicate that it has abilities of early stage forecast fault.