Zhicheng Wang

Title: Innovator Zhicheng Wang: Advancing CNC Machine Tool Diagnostics

Introduction

Zhicheng Wang is a notable inventor hailing from Jiangsu, China. With a keen focus on automation equipment, he has made significant strides in the realm of predictive maintenance for CNC (Computer Numerical Control) machine tools. His innovative solutions aim to enhance the operational efficiency and longevity of these essential manufacturing machines.

Latest Patents

Zhicheng Wang holds a patent for a revolutionary method of diagnosing the health of CNC machine tools. This invention addresses the crucial need for predictive maintenance in automation equipment. The method employs Zigbee nodes to detect vital parameters, such as vibration and temperature, which are then transmitted to a cloud server. Here, the data undergoes digital signal processing and analysis to create a health degree model. This model facilitates the rapid and accurate provision of predictive maintenance information, essential for the optimal functioning of CNC machines.

Career Highlights

Zhicheng Wang's professional journey includes significant affiliations with esteemed institutions such as Changzhou Electromechanical Vocational and Technical College and Jiangsu Dabei Smart Technology Co., Ltd. Through these roles, he has contributed to the development of advanced technological solutions that support engineering and manufacturing efficiency.

Collaborations

Throughout his career, Wang has had the privilege of collaborating with talented individuals in the field. Notable coworkers include Yunliang Wang and Jing Lou, who have partnered with him on various projects, amplifying the impact of their combined expertise in the arena of machine tool diagnostics and predictive maintenance.

Conclusion

As an accomplished inventor, Zhicheng Wang continues to pave the way for advancements in the diagnostics of CNC machine tools. His dedication to innovation and collaboration is instrumental in propelling the industry forward and ensuring that predictive maintenance becomes an integral practice in automation machinery. With his singular patent and ongoing contributions, Wang stands out as a significant figure in the field of automation technology.