A fault diagnosis method for motor based on industrial internet and multisensor data was presented. The instantaneous values of voltage, current, vibration and temperature of the motor could be obtained online in real time through a number of sensors, such as voltage, current, vibration and temperature sensor. The instantaneous values could be transformed into various characteristic parameters to characterize the state of the motor. According to the fluctuation of each characteristic parameter in each fault mode, the fault features and their membership functions in each fault mode could be obtained. The relationship between fault features and fault modes could be classified into sufficient and necessary conditions. The membership function of the fault features under the two conditions corresponding to each fault mode were fused. The membership function of each fault mode was obtained to serve the decisionmaking of the remote operation and maintenance system. This method could be deployed not only in the edge equipment of remote operation and maintenance industrial internet, but also in the service program of cloud platform to realize fast and reliable motor fault diagnosis.