Failure Data Acquisition System Based on WSN for Vehicle PHM Technology

Zhiqiang Pan

doi:doi:10.11648/j.ijssn.20180601.13

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Failure Data Acquisition System Based on WSN for Vehicle PHM Technology

Zhiqiang Pan

Published in International Journal of Sensors and Sensor Networks (Volume 6, Issue 1)

Received: 10 February 2018 Accepted: 9 April 2018 Published: 5 May 2018

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Abstract

Prognostic and health management (PHM) technology needs plenty of historical failure data to build accurate model for failure analysis, diagnostic and prognostic. However the existing data collection equipment is not flexible enough for special vehicle because of the wired connection or lack of real-time information feedback in real vehicle experiment. A new failure data acquisition system based on wireless sensor network is proposed to acquire the sufficient historical failure data for the development of vehicle PHM technology. The proposed system architecture consists of several wireless failure data acquisition (WFDA) nodes, a gateway node, monitoring software and probability density ratio (PDR) algorithm working on a base station. Compared with other related acquisition systems, the WFDA node is small enough and suitable for working in a narrow space inside the vehicle. A double-buffer resampling strategy is specifically developed in this node to solve the contradiction of high sampling rate and low wireless bandwidth. The PDR algorithm embedded in monitoring software is used to detect abnormal data and show researchers the analysis results which can be relied to change the test item in time. Experiments results in the laboratory preliminary verified the effectiveness of system.

Published in	International Journal of Sensors and Sensor Networks (Volume 6, Issue 1)
DOI	10.11648/j.ijssn.20180601.13
Page(s)	16-25
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), 2018. Published by Science Publishing Group

Keywords

Vehicle Failure Data, Wireless Sensor Network, PHM, Vehicle Test, Abnormal Detection

References

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APA Style

Zhiqiang Pan. (2018). Failure Data Acquisition System Based on WSN for Vehicle PHM Technology. International Journal of Sensors and Sensor Networks, 6(1), 16-25. https://doi.org/10.11648/j.ijssn.20180601.13

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ACS Style

Zhiqiang Pan. Failure Data Acquisition System Based on WSN for Vehicle PHM Technology. Int. J. Sens. Sens. Netw. 2018, 6(1), 16-25. doi: 10.11648/j.ijssn.20180601.13

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AMA Style

Zhiqiang Pan. Failure Data Acquisition System Based on WSN for Vehicle PHM Technology. Int J Sens Sens Netw. 2018;6(1):16-25. doi: 10.11648/j.ijssn.20180601.13

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@article{10.11648/j.ijssn.20180601.13,
  author = {Zhiqiang Pan},
  title = {Failure Data Acquisition System Based on WSN for Vehicle PHM Technology},
  journal = {International Journal of Sensors and Sensor Networks},
  volume = {6},
  number = {1},
  pages = {16-25},
  doi = {10.11648/j.ijssn.20180601.13},
  url = {https://doi.org/10.11648/j.ijssn.20180601.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20180601.13},
  abstract = {Prognostic and health management (PHM) technology needs plenty of historical failure data to build accurate model for failure analysis, diagnostic and prognostic. However the existing data collection equipment is not flexible enough for special vehicle because of the wired connection or lack of real-time information feedback in real vehicle experiment. A new failure data acquisition system based on wireless sensor network is proposed to acquire the sufficient historical failure data for the development of vehicle PHM technology. The proposed system architecture consists of several wireless failure data acquisition (WFDA) nodes, a gateway node, monitoring software and probability density ratio (PDR) algorithm working on a base station. Compared with other related acquisition systems, the WFDA node is small enough and suitable for working in a narrow space inside the vehicle. A double-buffer resampling strategy is specifically developed in this node to solve the contradiction of high sampling rate and low wireless bandwidth. The PDR algorithm embedded in monitoring software is used to detect abnormal data and show researchers the analysis results which can be relied to change the test item in time. Experiments results in the laboratory preliminary verified the effectiveness of system.},
 year = {2018}
}

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TY  - JOUR
T1  - Failure Data Acquisition System Based on WSN for Vehicle PHM Technology
AU  - Zhiqiang Pan
Y1  - 2018/05/05
PY  - 2018
N1  - https://doi.org/10.11648/j.ijssn.20180601.13
DO  - 10.11648/j.ijssn.20180601.13
T2  - International Journal of Sensors and Sensor Networks
JF  - International Journal of Sensors and Sensor Networks
JO  - International Journal of Sensors and Sensor Networks
SP  - 16
EP  - 25
PB  - Science Publishing Group
SN  - 2329-1788
UR  - https://doi.org/10.11648/j.ijssn.20180601.13
AB  - Prognostic and health management (PHM) technology needs plenty of historical failure data to build accurate model for failure analysis, diagnostic and prognostic. However the existing data collection equipment is not flexible enough for special vehicle because of the wired connection or lack of real-time information feedback in real vehicle experiment. A new failure data acquisition system based on wireless sensor network is proposed to acquire the sufficient historical failure data for the development of vehicle PHM technology. The proposed system architecture consists of several wireless failure data acquisition (WFDA) nodes, a gateway node, monitoring software and probability density ratio (PDR) algorithm working on a base station. Compared with other related acquisition systems, the WFDA node is small enough and suitable for working in a narrow space inside the vehicle. A double-buffer resampling strategy is specifically developed in this node to solve the contradiction of high sampling rate and low wireless bandwidth. The PDR algorithm embedded in monitoring software is used to detect abnormal data and show researchers the analysis results which can be relied to change the test item in time. Experiments results in the laboratory preliminary verified the effectiveness of system.
VL  - 6
IS  - 1
ER  -

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Author Information

Zhiqiang Pan

China National Instruments Import & Export (Group) Corporation, Beijing, China

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Plain Text BibTeX RIS

APA Style

Zhiqiang Pan. (2018). Failure Data Acquisition System Based on WSN for Vehicle PHM Technology. International Journal of Sensors and Sensor Networks, 6(1), 16-25. https://doi.org/10.11648/j.ijssn.20180601.13

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ACS Style

Zhiqiang Pan. Failure Data Acquisition System Based on WSN for Vehicle PHM Technology. Int. J. Sens. Sens. Netw. 2018, 6(1), 16-25. doi: 10.11648/j.ijssn.20180601.13

Copy | Download

AMA Style

Zhiqiang Pan. Failure Data Acquisition System Based on WSN for Vehicle PHM Technology. Int J Sens Sens Netw. 2018;6(1):16-25. doi: 10.11648/j.ijssn.20180601.13

Copy | Download

@article{10.11648/j.ijssn.20180601.13,
  author = {Zhiqiang Pan},
  title = {Failure Data Acquisition System Based on WSN for Vehicle PHM Technology},
  journal = {International Journal of Sensors and Sensor Networks},
  volume = {6},
  number = {1},
  pages = {16-25},
  doi = {10.11648/j.ijssn.20180601.13},
  url = {https://doi.org/10.11648/j.ijssn.20180601.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20180601.13},
  abstract = {Prognostic and health management (PHM) technology needs plenty of historical failure data to build accurate model for failure analysis, diagnostic and prognostic. However the existing data collection equipment is not flexible enough for special vehicle because of the wired connection or lack of real-time information feedback in real vehicle experiment. A new failure data acquisition system based on wireless sensor network is proposed to acquire the sufficient historical failure data for the development of vehicle PHM technology. The proposed system architecture consists of several wireless failure data acquisition (WFDA) nodes, a gateway node, monitoring software and probability density ratio (PDR) algorithm working on a base station. Compared with other related acquisition systems, the WFDA node is small enough and suitable for working in a narrow space inside the vehicle. A double-buffer resampling strategy is specifically developed in this node to solve the contradiction of high sampling rate and low wireless bandwidth. The PDR algorithm embedded in monitoring software is used to detect abnormal data and show researchers the analysis results which can be relied to change the test item in time. Experiments results in the laboratory preliminary verified the effectiveness of system.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Failure Data Acquisition System Based on WSN for Vehicle PHM Technology
AU  - Zhiqiang Pan
Y1  - 2018/05/05
PY  - 2018
N1  - https://doi.org/10.11648/j.ijssn.20180601.13
DO  - 10.11648/j.ijssn.20180601.13
T2  - International Journal of Sensors and Sensor Networks
JF  - International Journal of Sensors and Sensor Networks
JO  - International Journal of Sensors and Sensor Networks
SP  - 16
EP  - 25
PB  - Science Publishing Group
SN  - 2329-1788
UR  - https://doi.org/10.11648/j.ijssn.20180601.13
AB  - Prognostic and health management (PHM) technology needs plenty of historical failure data to build accurate model for failure analysis, diagnostic and prognostic. However the existing data collection equipment is not flexible enough for special vehicle because of the wired connection or lack of real-time information feedback in real vehicle experiment. A new failure data acquisition system based on wireless sensor network is proposed to acquire the sufficient historical failure data for the development of vehicle PHM technology. The proposed system architecture consists of several wireless failure data acquisition (WFDA) nodes, a gateway node, monitoring software and probability density ratio (PDR) algorithm working on a base station. Compared with other related acquisition systems, the WFDA node is small enough and suitable for working in a narrow space inside the vehicle. A double-buffer resampling strategy is specifically developed in this node to solve the contradiction of high sampling rate and low wireless bandwidth. The PDR algorithm embedded in monitoring software is used to detect abnormal data and show researchers the analysis results which can be relied to change the test item in time. Experiments results in the laboratory preliminary verified the effectiveness of system.
VL  - 6
IS  - 1
ER  -

Copy | Download