International Journal of Mechatronics and Manufacturing Technology ISSN: 3139-5058 (Online)

Authors: Sukanya Tiwari , Ramesh Chaudhary , Amrapali Deshmukh

Abstract: Fault detection, diagnostics, and prognostics (FDD&P) are crucial for the reliability, safety, and performance of mechatronic systems. Modern mechatronic systems, which integrate mechanical, electrical, and computational components, are inherently complex, making traditional monitoring techniques insufficient. This paper reviews the latest methods and technologies for FDD&P in mechatronic systems, emphasizing sensor integration, data-driven models, and hybrid approaches. A comparative study of different algorithms is presented along with practical applications in robotics, CNC machines, and automated manufacturing. Challenges such as sensor noise, data scarcity, and model uncertainty are discussed, and future research directions are proposed to improve predictive maintenance strategies.

Keywords: Mechatronic systems, Fault detection, Diagnostics, Prognostics, Predictive maintenance, Sensor fusion, Data-driven modeling