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Vol. 165, Issue 2, February 2014, pp. 8-15




Faults Diagnosis for Vibration Signal Based on HMM

Shao Qiang, Song Peng, Feng Changjian

Department of Automotive Engineering, Dalian Nationalities University, Dalian 116600, China
Tel.: 13555988100, fax: 86+411 87630449

E-mail: sq@dlnu.edu.cn


Received: 29 October 2013 /Accepted: 28 January 2014 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems


Abstract: Faults behaviors of automotive engine in running-up stage are shown a multidimensional pattern that evolves as a function of time (called dynamic patterns). It is necessary to identify the type of fault during early running stages of automotive engine for the selection of appropriate operator actions to prevent a more severe situation. In this situation, the Faults diagnosis method based on continuous HMM is proposed. Feature vectors of main FFT spectrum component are extracted from vibration signals and looked up as observation vectors of HMM. Several HMMs which substitute the types of faults in automotive engine vibration system are modeled. Decision-making for faults classification is performed. The results of experiment are shown the proposed method is executable and effective.


Keywords: Pattern recognition, Faults diagnosis, HMM.


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