Intelligent fault diagnosis system and method for end-to-end mining machine ventilator based on 1DCNN-AdaBN

The invention provides an intelligent fault diagnosis system and method for an end-to-end mine machine ventilator based on 1DCNN-AdaBN, and belongs to the technical field of mine machine ventilator monitoring. Comprising a sensor module, an acquisition board card, an upper computer and a monitor, the sensor module is used for measuring a vibration signal of the mine ventilator in real time and measuring the temperature of a motor of the mine ventilator in real time; and the acquisition board card is used for acquiring a vibration signal and a motor temperature of the mine ventilator and transmitting the acquired information to the upper computer. On the basis of the vibration signal of the mine ventilator, the running state of the mine ventilator is monitored in real time in combination with the motor temperature, the 1DCNN-AdaBN end-to-end type mine ventilator intelligent online fault diagnosis model is established, the problems that a traditional fault diagnosis model needs expert experience and the number