Artificial neural network for sensor failure detection in an automotive engine

Xinmin Zhao; Xiaochun Ye; Chen Zhang; Jinwei Sun

doi:10.1109/IMTC.1994.352099

Artificial neural network for sensor failure detection in an automotive engine

Xinmin Zhao
, Xiaochun Ye
, Chen Zhang
, Jinwei Sun

School of Instrumentation Science and Engineering

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

This paper presents a sensor failure detection method with artificial neural network for critical complex equipments, where their dynamic performance usually can not be actually obtained. However, if the number of measured variables is higher than the order of the system, using the inherent redundant relationship among sensors, we can detect the sensor failure and even recover or estimate the correct readings of the failed sensor. Two kinds of artifical neural network were trained to accomplish these aims, one is used to detect the sensor failure and the other is applied to recover the readings of failed sensor. The feasibility of this method was proved with computer simulation through a mathematic model of an automotive engine in a hovercraft.

Original language	English
Title of host publication	Conference Proceedings - 10th Anniv., IMTC 1994
Subtitle of host publication	Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	167-170
Number of pages	4
ISBN (Electronic)	0780318803, 9780780318809
DOIs	https://doi.org/10.1109/IMTC.1994.352099
State	Published - 1994
Event	1994 IEEE Instrumentation and Measurement Technology Conference, IMTC 1994 - Hamamatsu, Japan Duration: 10 May 1994 → 12 May 1994

Publication series

Name	Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference

Conference

Conference	1994 IEEE Instrumentation and Measurement Technology Conference, IMTC 1994
Country/Territory	Japan
City	Hamamatsu
Period	10/05/94 → 12/05/94

Access to Document

10.1109/IMTC.1994.352099

Cite this

Zhao, X., Ye, X., Zhang, C., & Sun, J. (1994). Artificial neural network for sensor failure detection in an automotive engine. In Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference (pp. 167-170). Article 352099 (Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMTC.1994.352099

Zhao, Xinmin ; Ye, Xiaochun ; Zhang, Chen et al. / Artificial neural network for sensor failure detection in an automotive engine. Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference. Institute of Electrical and Electronics Engineers Inc., 1994. pp. 167-170 (Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference).

@inproceedings{a52d6062d8e34408ac7f4f0d3a169597,

title = "Artificial neural network for sensor failure detection in an automotive engine",

abstract = "This paper presents a sensor failure detection method with artificial neural network for critical complex equipments, where their dynamic performance usually can not be actually obtained. However, if the number of measured variables is higher than the order of the system, using the inherent redundant relationship among sensors, we can detect the sensor failure and even recover or estimate the correct readings of the failed sensor. Two kinds of artifical neural network were trained to accomplish these aims, one is used to detect the sensor failure and the other is applied to recover the readings of failed sensor. The feasibility of this method was proved with computer simulation through a mathematic model of an automotive engine in a hovercraft.",

author = "Xinmin Zhao and Xiaochun Ye and Chen Zhang and Jinwei Sun",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 1994 IEEE Instrumentation and Measurement Technology Conference, IMTC 1994 ; Conference date: 10-05-1994 Through 12-05-1994",

year = "1994",

doi = "10.1109/IMTC.1994.352099",

language = "英语",

series = "Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "167--170",

booktitle = "Conference Proceedings - 10th Anniv., IMTC 1994",

address = "美国",

}

Zhao, X, Ye, X, Zhang, C & Sun, J 1994, Artificial neural network for sensor failure detection in an automotive engine. in Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference., 352099, Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc., pp. 167-170, 1994 IEEE Instrumentation and Measurement Technology Conference, IMTC 1994, Hamamatsu, Japan, 10/05/94. https://doi.org/10.1109/IMTC.1994.352099

Artificial neural network for sensor failure detection in an automotive engine. / Zhao, Xinmin; Ye, Xiaochun; Zhang, Chen et al.
Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference. Institute of Electrical and Electronics Engineers Inc., 1994. p. 167-170 352099 (Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Artificial neural network for sensor failure detection in an automotive engine

AU - Zhao, Xinmin

AU - Ye, Xiaochun

AU - Zhang, Chen

AU - Sun, Jinwei

PY - 1994

Y1 - 1994

N2 - This paper presents a sensor failure detection method with artificial neural network for critical complex equipments, where their dynamic performance usually can not be actually obtained. However, if the number of measured variables is higher than the order of the system, using the inherent redundant relationship among sensors, we can detect the sensor failure and even recover or estimate the correct readings of the failed sensor. Two kinds of artifical neural network were trained to accomplish these aims, one is used to detect the sensor failure and the other is applied to recover the readings of failed sensor. The feasibility of this method was proved with computer simulation through a mathematic model of an automotive engine in a hovercraft.

AB - This paper presents a sensor failure detection method with artificial neural network for critical complex equipments, where their dynamic performance usually can not be actually obtained. However, if the number of measured variables is higher than the order of the system, using the inherent redundant relationship among sensors, we can detect the sensor failure and even recover or estimate the correct readings of the failed sensor. Two kinds of artifical neural network were trained to accomplish these aims, one is used to detect the sensor failure and the other is applied to recover the readings of failed sensor. The feasibility of this method was proved with computer simulation through a mathematic model of an automotive engine in a hovercraft.

UR - https://www.scopus.com/pages/publications/71149087186

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DO - 10.1109/IMTC.1994.352099

M3 - 会议稿件

AN - SCOPUS:71149087186

T3 - Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference

SP - 167

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BT - Conference Proceedings - 10th Anniv., IMTC 1994

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1994 IEEE Instrumentation and Measurement Technology Conference, IMTC 1994

Y2 - 10 May 1994 through 12 May 1994

ER -

Zhao X, Ye X, Zhang C, Sun J. Artificial neural network for sensor failure detection in an automotive engine. In Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference. Institute of Electrical and Electronics Engineers Inc. 1994. p. 167-170. 352099. (Conference Proceedings - 10th Anniv., IMTC 1994: Advanced Technologies in I and M. 1994 IEEE Instrumentation and Measurement Technology Conference). doi: 10.1109/IMTC.1994.352099

Artificial neural network for sensor failure detection in an automotive engine

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