Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity

Luo Jin; Ma Qihua; Luo Yiping

doi:doi:10.11648/j.ajnc.20140302.12

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Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity

Luo Jin, Ma Qihua, Luo Yiping

Published in American Journal of Networks and Communications (Volume 3, Issue 2)

Received: 3 June 2014 Accepted: 17 June 2014 Published: 30 June 2014

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Abstract

Automobile automatic transmission is a complex system integrates machine, electricity, liquid, in terms of its fault diagnosis has the characteristics of uncertainty and high complex correlation, thus put forward the Bayesian network based on the theory of probability and theory of the fault tree for fault diagnosis methods of automobile automatic transmission, it has a certain value for application. Take a failure automatic transmission as an example, analyzes the causes of the automatic transmission fault and the relationship between the affecting factors, according to the properties of the automatic transmission fault establishes a Bayesian network model, and through calculating sensitivity to determine the probability of a certain causes to the automatic transmission fault. The results show that the method is operable in automatic transmission fault diagnosis, diagnosis results are accurate and credible.

Published in	American Journal of Networks and Communications (Volume 3, Issue 2)
DOI	10.11648/j.ajnc.20140302.12
Page(s)	25-28
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Automatic Transmission, Bayesian Network, Sensitivity

References

[1]	Jin-Oh Hahn, Jae-Woong Hur, Young Man Cho and Kyo Lee. Robust Observer-Based Monitoring of A Hydraulic Actuator In A Vehicle Power Transmission Control Sys-tem. Proc. Of the 40th IEEE Conference on Decision and Control (pp. 522-528)
[2]	Hu Ning, Hu Jia, The func-tion of the automatic transmission failure analysis. The technology of automotive, 2003(8):39-41.
[3]	Qin Guihe, Ge Anlin, Lei Yulong. On-line fault diagnosis sys-tem of automated mechanical transmission. Journal of agricultural mechanization, 2001(32)5:75－77.
[4]	Wei Shaoyuan, Wang Dongmei, Zhang Zhongyang. Automotive automatic transmission based on the theory of fuzzy fault diagnosis system. Mechani-cal design and manufacturing, 2011 (1):230-232.
[5]	Yuan Zheng. Bayesian network sensitivity analysis method and its application in com-plex system fault diagnosis. [Master's degree thesis]. Hefei university of technology,2012.
[6]	Liu Xuejun, Liu Cunxiang, Zhang Erli. Bayesnets application in vehicle gearbox fault analysis. Journal of Nanning College for Vocational Technology. 2013(18) 6:90-92.

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APA Style

Luo Jin, Ma Qihua, Luo Yiping. (2014). Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity. American Journal of Networks and Communications, 3(2), 25-28. https://doi.org/10.11648/j.ajnc.20140302.12

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ACS Style

Luo Jin; Ma Qihua; Luo Yiping. Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity. Am. J. Netw. Commun. 2014, 3(2), 25-28. doi: 10.11648/j.ajnc.20140302.12

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AMA Style

Luo Jin, Ma Qihua, Luo Yiping. Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity. Am J Netw Commun. 2014;3(2):25-28. doi: 10.11648/j.ajnc.20140302.12

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@article{10.11648/j.ajnc.20140302.12,
  author = {Luo Jin and Ma Qihua and Luo Yiping},
  title = {Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity},
  journal = {American Journal of Networks and Communications},
  volume = {3},
  number = {2},
  pages = {25-28},
  doi = {10.11648/j.ajnc.20140302.12},
  url = {https://doi.org/10.11648/j.ajnc.20140302.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20140302.12},
  abstract = {Automobile automatic transmission is a complex system integrates machine, electricity, liquid, in terms of its fault diagnosis has the characteristics of uncertainty and high complex correlation, thus put forward the Bayesian network based on the theory of probability and theory of the fault tree for fault diagnosis methods of automobile automatic transmission, it has a certain value for application. Take a failure automatic transmission as an example, analyzes the causes of the automatic transmission fault and the relationship between the affecting factors, according to the properties of the automatic transmission fault establishes a Bayesian network model, and through calculating sensitivity to determine the probability of a certain causes to the automatic transmission fault. The results show that the method is operable in automatic transmission fault diagnosis, diagnosis results are accurate and credible.},
 year = {2014}
}

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TY  - JOUR
T1  - Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity
AU  - Luo Jin
AU  - Ma Qihua
AU  - Luo Yiping
Y1  - 2014/06/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ajnc.20140302.12
DO  - 10.11648/j.ajnc.20140302.12
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 25
EP  - 28
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20140302.12
AB  - Automobile automatic transmission is a complex system integrates machine, electricity, liquid, in terms of its fault diagnosis has the characteristics of uncertainty and high complex correlation, thus put forward the Bayesian network based on the theory of probability and theory of the fault tree for fault diagnosis methods of automobile automatic transmission, it has a certain value for application. Take a failure automatic transmission as an example, analyzes the causes of the automatic transmission fault and the relationship between the affecting factors, according to the properties of the automatic transmission fault establishes a Bayesian network model, and through calculating sensitivity to determine the probability of a certain causes to the automatic transmission fault. The results show that the method is operable in automatic transmission fault diagnosis, diagnosis results are accurate and credible.
VL  - 3
IS  - 2
ER  -

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Author Information

Luo Jin

Faculty of Automotive Engineering, Shanghai University of Engineering and Science, Shanghai, China
Ma Qihua

Faculty of Automotive Engineering, Shanghai University of Engineering and Science, Shanghai, China
Luo Yiping

Faculty of Automotive Engineering, Shanghai University of Engineering and Science, Shanghai, China

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APA Style

Luo Jin, Ma Qihua, Luo Yiping. (2014). Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity. American Journal of Networks and Communications, 3(2), 25-28. https://doi.org/10.11648/j.ajnc.20140302.12

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ACS Style

Luo Jin; Ma Qihua; Luo Yiping. Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity. Am. J. Netw. Commun. 2014, 3(2), 25-28. doi: 10.11648/j.ajnc.20140302.12

Copy | Download

AMA Style

Luo Jin, Ma Qihua, Luo Yiping. Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity. Am J Netw Commun. 2014;3(2):25-28. doi: 10.11648/j.ajnc.20140302.12

Copy | Download

@article{10.11648/j.ajnc.20140302.12,
  author = {Luo Jin and Ma Qihua and Luo Yiping},
  title = {Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity},
  journal = {American Journal of Networks and Communications},
  volume = {3},
  number = {2},
  pages = {25-28},
  doi = {10.11648/j.ajnc.20140302.12},
  url = {https://doi.org/10.11648/j.ajnc.20140302.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20140302.12},
  abstract = {Automobile automatic transmission is a complex system integrates machine, electricity, liquid, in terms of its fault diagnosis has the characteristics of uncertainty and high complex correlation, thus put forward the Bayesian network based on the theory of probability and theory of the fault tree for fault diagnosis methods of automobile automatic transmission, it has a certain value for application. Take a failure automatic transmission as an example, analyzes the causes of the automatic transmission fault and the relationship between the affecting factors, according to the properties of the automatic transmission fault establishes a Bayesian network model, and through calculating sensitivity to determine the probability of a certain causes to the automatic transmission fault. The results show that the method is operable in automatic transmission fault diagnosis, diagnosis results are accurate and credible.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Analysis of the Automatic Transmission Fault Diagnosis Based on Bayesian Network Sensitivity
AU  - Luo Jin
AU  - Ma Qihua
AU  - Luo Yiping
Y1  - 2014/06/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ajnc.20140302.12
DO  - 10.11648/j.ajnc.20140302.12
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 25
EP  - 28
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20140302.12
AB  - Automobile automatic transmission is a complex system integrates machine, electricity, liquid, in terms of its fault diagnosis has the characteristics of uncertainty and high complex correlation, thus put forward the Bayesian network based on the theory of probability and theory of the fault tree for fault diagnosis methods of automobile automatic transmission, it has a certain value for application. Take a failure automatic transmission as an example, analyzes the causes of the automatic transmission fault and the relationship between the affecting factors, according to the properties of the automatic transmission fault establishes a Bayesian network model, and through calculating sensitivity to determine the probability of a certain causes to the automatic transmission fault. The results show that the method is operable in automatic transmission fault diagnosis, diagnosis results are accurate and credible.
VL  - 3
IS  - 2
ER  -

Copy | Download