Abstract: For complicated machinery and equipment, and the characteristics of the coal mine equipment diversity of the current work environment, a study based on expert systems and artificial neural network fault diagnosis system of mechanical equipment. Such a system can be more precise positioning mechanical equipment failures, followed by the fault can propose solutions through expert systems, to provide a reference for the maintenance personnel. And the system has a device capable of real-time monitoring of the work function of the state, to protect the safety of coal mine machinery functioning to provide protection.

Key words: Coal, Machinery and Equipment, Fault Diagnosis, Expert System, Neural Network