鉴定(生物学)
断层(地质)
领域(数学)
组分(热力学)
风险分析(工程)
计算机科学
系统工程
数据科学
工程类
业务
地质学
纯数学
地震学
物理
热力学
生物
植物
数学
作者
Bingbing Li,Ying Wang,Jinxing Wang,Cong Wang,Yanqing Duan
标识
DOI:10.1016/j.sna.2020.111990
摘要
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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