Model- and data-based fault diagnosis of torque sensors: current status and trends

Purpose This study aims to summarize the latest achievements in torque sensor fault diagnosis and provides the latest theoretical reference and practical guidance to ensure the safety and reliability of torque sensors. Design/methodology/approach The main faults of torque sensors and their failure causes are described, and based on the research results of fault diagnosis in the field of sensors, the techniques and strategies of torque sensor fault diagnosis are comprehensively introduced from the perspective of model-based to data-based, their respective advantages and disadvantages are comparatively analyzed, the challenges faced by the fault diagnosis of torque sensors are pointed out and future research and development trends in the field are proposed. Findings The main faults of torque sensors and their manifestations are given, the implementation process of model and data-based fault diagnosis of torque sensors is outlined, and its real-time, robustness, implementation and its accuracy in fault diagnosis are compared. Originality/value Comparison of torque sensor fault diagnosis techniques from a comprehensive perspective highlights the complementarities and correlations between the two, integrates technical challenges and future directions in the field and helps readers to design an efficient and cutting-edge research framework that promotes the development of more efficient, safe and reliable torque sensor fault diagnosis.