The degradation of key components of production equipment can have adverse effects on manufacturing, such as unexpected machine shutdown and product quality decline. Implementing self-aware component by prognostics and health management (PHM) based cyber-physical systems (CPS) are promising technologies that can address this problem. Considering that electromagnetic coils are fundamental energy conversion and transformation components of a variety of machines, like electric motors and solenoid valves, and their insulation failure can cause catastrophic effects, a precursor-based prognostics method is proposed in this paper to create self-aware low-voltage electromagnetic coils for incipient insulation degradation monitoring. Sensory data to insulation health information conversion and component-cyber interface development for integrating insulation health information to cyber space are described, which present opportunities for developing transparency and thus predictive maintenance of machines that incorporate electromagnetic coils.