This paper proposes an intelligent monitoring system to adapt motorized high speed spindle on machine tools to meet the requirement of Industries 4.0, based on the techniques of power electronic engineering, mechatronics and reliability engineering. In this paper, a force-sensor-integrated spindle is proposed to monitor the bearing stress during operation. The implementation of charge amplifier and mechanical design are described as well. As a result, raw data is transmitted through a filter to create fruitful information and allow the remote monitoring system to operate effectively. The information supports predictive maintenance plans and improves the quality of after-sales service.

The development of machine tool is toward high-speed, high-precision and smarter with high-end compensation techniques. The sensor and the data acquiring system are required in compensation system. However, the aliasing phenomenon can be observed in the existing data acquiring system in machine tool application. In this paper, one solution is proposed to overcome signal aliasing. The phenomenon which appears in spindle thermal growth compensation system is carried, and the improved system. is validated.

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