Automation, Control and Intelligent Systems

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

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.

DOI 10.11648/j.acis.20170504.11
Published in Automation, Control and Intelligent Systems (Volume 5, Issue 4, August 2017)
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), 2024. 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).
Author Information
  • Department of Electrical and Information Engineering, Jinan University, Zhuhai, China

  • Department of Electrical and Information Engineering, Jinan University, Zhuhai, China

  • Department of Electrical and Information Engineering, Jinan University, Zhuhai, China

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

Cite This Article
  • 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://download.sciencepg.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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    T1  - The Elevator Fault Diagnosis Method Based on Sequential Probability Ratio Test (SPRT)
    AU  - Chang Liu
    AU  - Shu Zhou
    AU  - Xindong Liu
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    T2  - Automation, Control and Intelligent Systems
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    JO  - Automation, Control and Intelligent Systems
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    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.
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