• Recent advances in sensor fault diagnosis: a review

      Li, Daoliang; Wang, Ying; Wang, Jinxing; Wang, Cong; Duan, Yanqing; China Agricultural University; Shandong Agricultural University; University of Bedfordshire (Elsevier, 2020-05-11)
      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.