This paper introduces an intelligent diagnosis method that meets the requirements of modern equipment management, which can timely and efficiently diagnose the abnormal situation of equipment online, eliminate the hidden danger of safety and prevent the occurrence of serious accidents. A cement company uses big data technology and machine learning methods to build an  equipment management and predictive maintenance system, which can intelligently monitor and diagnose the operation of cement production equipment. After the system is applied, it effectively guarantee the efficient and reliable operation of the equipment, extend the service life of the equipment, improve the production efficiency, and reduced the operation and maintenance cost.