Journal of Engineering Research

With the advancement of industrial intelligence, the fault prediction and health management of electromechanical equipment have become the key to improve production efficiency and reduce maintenance costs. Smart sensor networks, with their distributed sensing, data collection in real time, and intelligent analysis capabilities, have shown great potential in this field. This paper first introduces the architecture and technical advantages of intelligent sensor network, then discusses its application mechanism in fault monitoring, data fusion and health assessment, and proposes a health management strategy based on intelligent algorithm. Finally, the future development trend is discussed.

Intelligent sensor network; Mechanical and electrical equipment; Fault prediction; Health management; Industrial intelligence