Bearing state monitoring method and device, storage medium and machine equipment

Abstract

The invention relates to a bearing state monitoring method and device, a storage medium and machine equipment. The method comprises: obtaining a temperature relationship (a) between different bearings in the machinery equipment; selecting a reference bearing in real time and determining the real-time temperature of the reference bearing as a reference temperature (b); determining a real-time normal temperature range (c) of different bearings of the machine equipment in combination with the temperature relationship and the reference temperature; measuring a temperature (d) of the bearing in the machine equipment; and comparing the measured bearing temperature with a corresponding real-time normal temperature range (e). The device is used for executing the method. The computer readable medium carries an instruction, and when the instruction is executed, the device executes the method. The machine equipment comprises the bearing and the temperature sensor, and when the state of the bearing is monitored through the method, the temperature sensor measures the temperature of the bearing in the machine equipment.

Description

technical field [0001] The invention relates to a method, a device, a storage medium and the machine equipment itself for state monitoring of bearings in machine equipment. Background technique [0002] In mechanical equipment such as gearboxes in wind power generators, it is necessary to monitor the working status of rotating components such as bearings, shafts, gears, etc., in order to avoid service failures of wind power plants caused by failure of these rotating components, especially bearings. [0003] However, in current gearbox condition monitoring systems, vibration sensors and temperature sensors are usually installed on the housing. These sensors can only detect the state of the support bearings. For many other bearings in gearboxes, such as planetary gear bearings, there is currently no effective condition monitoring solution. [0004] also, figure 1 The lead times for identifying bearing failures according to existing bearing monitoring methods are shown. Suc...

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Problems solved by technology

like figure 1 As shown, the current bearing condition detection method based on bearing temperature can only identify bearing failure in the late stage of bearing failure

In addition, although the vibration-based bearing condition detection method can identify the bearing failure in the early stage of bearing failure, it can only be used to monitor a part of the bearings in the gearbox as mentioned above and the cost of implementation is very high

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