TY  - EJOU
AU  - Chauhan, Sumika 
AU  - Vashishtha, Govind 
AU  - Zimroz, Radoslaw 

TI  - Analysing Recent Breakthroughs in Fault Diagnosis through Sensor: A Comprehensive Overview
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2024
VL  - 141
IS  - 3
SN  - 1526-1506

AB  - Sensors, vital elements in data acquisition systems, play a crucial role in various industries. However, their exposure to harsh operating conditions makes them vulnerable to faults that can compromise system performance. Early fault detection is therefore critical for minimizing downtime and ensuring system reliability. This paper delves into the contemporary landscape of fault diagnosis techniques for sensors, offering valuable insights for researchers and academicians. The papers begin by exploring the different types and causes of sensor faults, followed by a discussion of the various fault diagnosis methods employed in industrial sectors. The advantages and limitations of these methods are carefully examined, paving the way for highlighting current challenges and outlining potential future research directions. This comprehensive review aims to provide a thorough understanding of current advancements in sensor fault diagnosis, enabling readers to stay abreast of the latest developments in this rapidly evolving field. By addressing the challenges and exploring promising research avenues, this paper seeks to contribute to the development of more robust and effective sensor fault diagnosis methods, ultimately improving the reliability and safety of industrial and agricultural systems.
KW  - Sensors; fault diagnosis; artificial intelligence; deep learning

DO  - 10.32604/cmes.2024.055633