Big data-based water turbine guide bearing fault diagnosis system

The invention discloses a big data-based water turbine guide bearing fault diagnosis system and belongs to the technical field of fault diagnosis. The invention aims to solve the problem that a traditional state monitoring system can only give an alarm when a unit breaks down, and fails to find a potential fault source in advance. The big data-based water turbine guide bearing fault diagnosis system includes a temperature sensor, a swing degree sensor, a data collector, a power plant data management server, a local cloud service platform and a display device; the temperature sensor is used for detecting the temperature condition of each part of a guide bearing in real time; the swing degree sensor is used for acquiring the relevant data of the swing degree of the large axis of the guide bearing; the data collector converts analog quantity signals collected by the temperature sensor and the swing degree sensor into digital quantity signals; the power plant data management server stores the digital quantity sig