Shao Qiang
Department of Automotive Engineering, Dalian Nationalities University, China
Feng Chanjian
Department of Mechanical Engineering, Dalian Nationalities University, China
Luo Yuegang
Department of Mechanical Engineering, Dalian Nationalities University, China
Song Peng
Department of Automatic Engineering, Dalian Nationalities University, China
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.
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Received: August 06, 2013;
Accepted: October 25, 2013;
Published: November 26, 2013
How to cite this article
Shao Qiang, Feng Chanjian, Luo Yuegang and Song Peng, 2013. Faults Diagnosis for Automotive Engine Based on Chmm. Journal of Applied Sciences, 13: 5632-5637.
DOI: 10.3923/jas.2013.5632.5637
URL: https://scialert.net/abstract/?doi=jas.2013.5632.5637
DOI: 10.3923/jas.2013.5632.5637
URL: https://scialert.net/abstract/?doi=jas.2013.5632.5637
REFERENCES
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