Research on Sensing Health Status of Mine Equipments Model

• 1、School of Information and Electronic Engineering, China University of Mining and Technology
• 2、School of Information and Electronic Engineering, China University of Mining and Technology, Xuzhou Jiangsu 221008

Abstract：As the environment of coal mine underground is complex, thus the failure rate of equipments are relatively high. And once the equipments are in the event of failure, it will result in huge economic lost and casualties to preserve them or maintain them termly. So, it's necessary to carry out the health status diagnosis research for mine large-scale machinery and equipments and develop a remote monitoring and health dianosis system for mine machinery and equipments based on the Internet of things technology. For this, the paper develop a equipment health status smart sensing system model, which uses the kernel principal component analysis for feature extraction, support vector machine as classifier, and virtual instrument graphical programmimg software labVIEW for software design, to achieve the smart monitoring of coal mine device and thus ensure the safety production of coal mine.

Keywords： equipments health status kernel principal component analysis support vector machine LabVIEW