Faults Diagnosis for Vibration Signal Based on HMM
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 actio...
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IFSA Publishing, S.L.
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doaj-191b0621abc346b68e8981ea6c40efaf2020-11-24T23:33:04ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-02-011652815Faults Diagnosis for Vibration Signal Based on HMMShao Qiang0Song Peng1Feng Changjian2Department of Automotive Engineering, Dalian Nationalities University, Dalian 116600, ChinaDepartment of Automotive Engineering, Dalian Nationalities University, Dalian 116600, ChinaDepartment of Automotive Engineering, Dalian Nationalities University, Dalian 116600, China 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.http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1868.pdfPattern recognitionFaults diagnosisHMM. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shao Qiang Song Peng Feng Changjian |
spellingShingle |
Shao Qiang Song Peng Feng Changjian Faults Diagnosis for Vibration Signal Based on HMM Sensors & Transducers Pattern recognition Faults diagnosis HMM. |
author_facet |
Shao Qiang Song Peng Feng Changjian |
author_sort |
Shao Qiang |
title |
Faults Diagnosis for Vibration Signal Based on HMM |
title_short |
Faults Diagnosis for Vibration Signal Based on HMM |
title_full |
Faults Diagnosis for Vibration Signal Based on HMM |
title_fullStr |
Faults Diagnosis for Vibration Signal Based on HMM |
title_full_unstemmed |
Faults Diagnosis for Vibration Signal Based on HMM |
title_sort |
faults diagnosis for vibration signal based on hmm |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2014-02-01 |
description |
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. |
topic |
Pattern recognition Faults diagnosis HMM. |
url |
http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1868.pdf |
work_keys_str_mv |
AT shaoqiang faultsdiagnosisforvibrationsignalbasedonhmm AT songpeng faultsdiagnosisforvibrationsignalbasedonhmm AT fengchangjian faultsdiagnosisforvibrationsignalbasedonhmm |
_version_ |
1725532192970375168 |