Abstract: China's coal industry is in the primary stage of intelligent mining and due to the limitations of complex and diverse mining geological environment and intelligent equipment manufacturing technology. Reliability of intelligent fully mechanized mining equipment system cannot support the demand for adaptive mining. In order to clarify the controlled factors of the reliability of intelligent fully mechanized mining equipment system, the influencing factors of the reliability of intelligent fully mechanized mining equipment system were analyzed from the perspectives of system, equipment, technology and environment based on its connotation and characteristics. Firstly, the concept of intelligent system of fully mechanized equipment is expounded clearly, namely intelligent fully mechanized coal mining equipment system based on intelligent fully mechanized fully mechanized equipment as the core, fusing the cognitive system, communication network, control system and other kinds of component unit organically in together, and the collection, analysis and decision-making of big data of coal mine production are integrated with information as the dominant role, and then form an accurate cooperative operation system from equipment, communication, perception, control to decision management level. It is pointed out that its main features are based on intelligent single-machine fully mechanized mining equipment, centered on big data production, interconnected intelligent fully mechanized mining equipment, and targeted at precisely cooperative control of intelligent fully mechanized mining equipment. According to the connotation and characteristics of the intelligent of fully mechanized mining equipment system, a reliability index system of intelligent fully mechanized mining equipment system is established, which includes six aspects: reliability of fully mechanized mining equipment, reliability of sensor system, reliability of control system, reliability of communication system, fusion degree of production data, fusion degree of equipment and environment, and some research directions are proposed by the characteristics of different sub factors.