Abstract: In view of the problems that high-load operation of coal mine electromechanical equipment often causes faults,which affects production efficiency and safety and others.Taking the hoisting system,hydraulic system,and electrical control system of Pingshang Coal Industry in Shanxi Jinmei Group as the research objects,a fault diagnosis system based on intelligentization technology is proposed.Multi dimensional data is collected using vibration,temperature,current,and pressure sensors,and data transmission is achieved through Internet of Things technology.A fault classification and prediction framework is constructed by combining the support vector machine （SVM） model.The research results show that the system diagnosis accuracy rate reaches 95%,the equipment failure rate is reduced by 20%,the shutdown time is reduced by 25%,and early warning can be given 72 hours in advance,providing efficient technical support for equipment management.The research shows that intelligentization fault diagnosis technology has significant effects in aspects such as improving the safety of coal mine equipment operation and reducing maintenance costs,and has important reference value for the intelligentization development of coal mines.