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Recent advances in sensor fault diagnosis: a review

  • Daoliang Li
    ,
  • Ying Wang
    ,
  • Jinxing Wang
    ,
  • Cong Wang
    ,
  • Yanqing Duan
Research Output: Contribution to journal Article Peer-review

Abstract

As an essential component of data acquisition systems, sensors have been widely used, especially in industrial and agricultural sectors. However, sensors are also prone to faults due to their harsh working environment. Therefore, the early identification of sensor faults is critical for making corrective actions to mitigate the impact. This paper provides a comprehensive review on the contemporary fault diagnosis techniques and helps researchers and practitioners to understand the current state of the art development in this emerging field. The paper introduces the common fault types and causes in sensors, and different types’ methods for fault diagnosis used in industry and agriculture sectors. It discusses the advantages and disadvantages of these methods, highlights the current challenges, and offers recommendations for future research directions.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 111990

Journal (Volume, Issue Number)

Sensors and Actuators A: Physical (Volume 309)

Publication milestones

  • Accepted/In press - 03/04/2020
  • Published - 11/05/2020

Publication status

Published - 11/05/2020

ISSN

0924-4247

External Publication IDs

  • handle.net: 10547/623976
  • Scopus: 85084525363

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