Journal of Electrical Engineering and Automation

Against the backdrop of rapid development in intelligent manufacturing, the reliability of electromechanical equipment has become a critical factor in ensuring production efficiency and product quality. This paper focuses on reliability enhancement, exploring aspects such as intelligent sensing, data-driven health management, predictive maintenance, redundant design, and adaptive control. It elaborates on how the integration of next-generation information technology with electromechanical systems significantly improves equipment stability and service life. Through systematic analysis of technical pathways, the paper emphasizes the pivotal role of interdisciplinary collaboration and intelligent approaches in fault prevention and performance optimization, providing theoretical support and technical references for ensuring long-term stable operation of electromechanical equipment under complex working conditions.

Intelligent manufacturing; Electromechanical equipment; Reliability; Predictive maintenance; Health management