Recent advances in sensor fault diagnosis: A review

[Display omitted] 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 critica...

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Bibliographic Details
Published inSensors and actuators. A. Physical. Vol. 309; p. 111990
Main Authors Li, Daoliang, Wang, Ying, Wang, Jinxing, Wang, Cong, Duan, Yanqing
Format Journal Article
LanguageEnglish
Published Lausanne Elsevier B.V 01.07.2020
Elsevier BV
Subjects
Agriculture
Data collection
Fault detection
Fault diagnosis
Fault tolerance
Predictive maintenance
Sensor fault diagnosis
Sensors
Working conditions
Fault detection
Sensor fault diagnosis
Predictive maintenance
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Summary:[Display omitted] 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.
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ISSN:0924-4247
1873-3069
DOI:10.1016/j.sna.2020.111990