The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)

Chang Liu; Shu Zhou; Xindong Liu; Can Chen

doi:doi:10.11648/j.acis.20170504.11

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The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)

Chang Liu, Shu Zhou, Xindong Liu, Can Chen

Published in Automation, Control and Intelligent Systems (Volume 5, Issue 4)

Received: 12 June 2017 Accepted: 26 June 2017 Published: 26 July 2017

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Abstract

An elevator fault diagnosis method based on Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to verify the effectiveness of the method, this paper designed the fault diagnosis experiment for elevator mechanical system. Firstly, the wavelet transformation is used to filter the noise of the vibration signal collected in the experiment. Then the kurtosis value of the filtered signal is extracted as the index to represent the practical status of the elevator. Finally, the SPRT algorithm is used to diagnose the faults of the elevator mechanical system. Experimental results show that this method has high accuracy in practical applications. It is important to improve the performance of the fault diagnosis for the elevator mechanical system.

Published in	Automation, Control and Intelligent Systems (Volume 5, Issue 4)
DOI	10.11648/j.acis.20170504.11
Page(s)	50-55
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), 2017. Published by Science Publishing Group

Keywords

Sequential Probability Ratio Test, Fault Diagnosis, Wavelet Transformation, Kurtosis

References

[1]	Li HuiSheng. “Elevator control technology”, Machinery Industry Press. pp. 59-63 (1996).
[2]	Li Wei, Zhu Yun, Mao Haijie, et al. “Pipeline Leak Detection Based on SPRT and Wavelet Transform”, Computer Measurement & Control. 13 (9), pp.903-904+907 (2005).
[3]	Yang Yang, Zhao Guojun, Liu Zheng. “Expert Systems for Elevator Controller Fault Diagnosis”, Techniques of Automation and Applications. 21 (5), pp.40-42 (2002).
[4]	Li Gang. “Research on safety evaluation technology and method of long service elevator”, South China University of Technology. (2014).
[5]	Zhang Fuen, Wu Naiyou Zhang Jinling, Li Yanggeng. “Principle, design and safety maintenance of AC speed control elevator”, Machinery Industry Press. (30), pp.77-79 (1999).
[6]	Wald A. “Sequential Analysis”, New York: Wiley. (1947).
[7]	Yu Chenggang, Su Bingjing. “A non-parametric sequential rank-sum probability ratio test method for binary hypothesis testing”, Signal Processing. (84), pp.1267-1272 (2004).
[8]	Chen Xiru. “An Introduction to Mathematical Statistics”, Beijing: Science Press. (1983).
[9]	Fan Xianfeng, Jiang Xingwei. “Signal de-noise based on wavelet packets transform”, Journal of Harbin Institute of technology. 35 (7), pp.809-811 (2003).
[10]	Cao Zhichao. “The theoty and experiment research of high-speed elevators vibration characteristics”, Central South University. (2012).

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APA Style

Chang Liu, Shu Zhou, Xindong Liu, Can Chen. (2017). The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT). Automation, Control and Intelligent Systems, 5(4), 50-55. https://doi.org/10.11648/j.acis.20170504.11

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ACS Style

Chang Liu; Shu Zhou; Xindong Liu; Can Chen. The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT). Autom. Control Intell. Syst. 2017, 5(4), 50-55. doi: 10.11648/j.acis.20170504.11

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AMA Style

Chang Liu, Shu Zhou, Xindong Liu, Can Chen. The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT). Autom Control Intell Syst. 2017;5(4):50-55. doi: 10.11648/j.acis.20170504.11

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@article{10.11648/j.acis.20170504.11,
  author = {Chang Liu and Shu Zhou and Xindong Liu and Can Chen},
  title = {The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)},
  journal = {Automation, Control and Intelligent Systems},
  volume = {5},
  number = {4},
  pages = {50-55},
  doi = {10.11648/j.acis.20170504.11},
  url = {https://doi.org/10.11648/j.acis.20170504.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20170504.11},
  abstract = {An elevator fault diagnosis method based on Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to verify the effectiveness of the method, this paper designed the fault diagnosis experiment for elevator mechanical system. Firstly, the wavelet transformation is used to filter the noise of the vibration signal collected in the experiment. Then the kurtosis value of the filtered signal is extracted as the index to represent the practical status of the elevator. Finally, the SPRT algorithm is used to diagnose the faults of the elevator mechanical system. Experimental results show that this method has high accuracy in practical applications. It is important to improve the performance of the fault diagnosis for the elevator mechanical system.},
 year = {2017}
}

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TY  - JOUR
T1  - The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)
AU  - Chang Liu
AU  - Shu Zhou
AU  - Xindong Liu
AU  - Can Chen
Y1  - 2017/07/26
PY  - 2017
N1  - https://doi.org/10.11648/j.acis.20170504.11
DO  - 10.11648/j.acis.20170504.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 50
EP  - 55
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20170504.11
AB  - An elevator fault diagnosis method based on Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to verify the effectiveness of the method, this paper designed the fault diagnosis experiment for elevator mechanical system. Firstly, the wavelet transformation is used to filter the noise of the vibration signal collected in the experiment. Then the kurtosis value of the filtered signal is extracted as the index to represent the practical status of the elevator. Finally, the SPRT algorithm is used to diagnose the faults of the elevator mechanical system. Experimental results show that this method has high accuracy in practical applications. It is important to improve the performance of the fault diagnosis for the elevator mechanical system.
VL  - 5
IS  - 4
ER  -

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Author Information

Chang Liu

Department of Electrical and Information Engineering, Jinan University, Zhuhai, China
Shu Zhou

Department of Electrical and Information Engineering, Jinan University, Zhuhai, China
Xindong Liu

Department of Electrical and Information Engineering, Jinan University, Zhuhai, China
Can Chen

Guangdong Power Grid Company, Zhuhai Power Supply Bureau, Zhuhai, China

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Plain Text BibTeX RIS

APA Style

Chang Liu, Shu Zhou, Xindong Liu, Can Chen. (2017). The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT). Automation, Control and Intelligent Systems, 5(4), 50-55. https://doi.org/10.11648/j.acis.20170504.11

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ACS Style

Chang Liu; Shu Zhou; Xindong Liu; Can Chen. The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT). Autom. Control Intell. Syst. 2017, 5(4), 50-55. doi: 10.11648/j.acis.20170504.11

Copy | Download

AMA Style

Chang Liu, Shu Zhou, Xindong Liu, Can Chen. The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT). Autom Control Intell Syst. 2017;5(4):50-55. doi: 10.11648/j.acis.20170504.11

Copy | Download

@article{10.11648/j.acis.20170504.11,
  author = {Chang Liu and Shu Zhou and Xindong Liu and Can Chen},
  title = {The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)},
  journal = {Automation, Control and Intelligent Systems},
  volume = {5},
  number = {4},
  pages = {50-55},
  doi = {10.11648/j.acis.20170504.11},
  url = {https://doi.org/10.11648/j.acis.20170504.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20170504.11},
  abstract = {An elevator fault diagnosis method based on Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to verify the effectiveness of the method, this paper designed the fault diagnosis experiment for elevator mechanical system. Firstly, the wavelet transformation is used to filter the noise of the vibration signal collected in the experiment. Then the kurtosis value of the filtered signal is extracted as the index to represent the practical status of the elevator. Finally, the SPRT algorithm is used to diagnose the faults of the elevator mechanical system. Experimental results show that this method has high accuracy in practical applications. It is important to improve the performance of the fault diagnosis for the elevator mechanical system.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)
AU  - Chang Liu
AU  - Shu Zhou
AU  - Xindong Liu
AU  - Can Chen
Y1  - 2017/07/26
PY  - 2017
N1  - https://doi.org/10.11648/j.acis.20170504.11
DO  - 10.11648/j.acis.20170504.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 50
EP  - 55
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20170504.11
AB  - An elevator fault diagnosis method based on Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to verify the effectiveness of the method, this paper designed the fault diagnosis experiment for elevator mechanical system. Firstly, the wavelet transformation is used to filter the noise of the vibration signal collected in the experiment. Then the kurtosis value of the filtered signal is extracted as the index to represent the practical status of the elevator. Finally, the SPRT algorithm is used to diagnose the faults of the elevator mechanical system. Experimental results show that this method has high accuracy in practical applications. It is important to improve the performance of the fault diagnosis for the elevator mechanical system.
VL  - 5
IS  - 4
ER  -

Copy | Download