A kind of wind turbine gearbox bearing temperature condition monitoring and fault diagnosis method

Abstract

A wind turbine gearbox bearing temperature state monitoring and fault diagnosis method, the wind turbine state monitoring and fault diagnosis has important practical value for reducing maintenance costs and improving the operation level of wind farms. Due to the special distribution law and strong correlation of operating parameters of units with similar geographic locations in wind farms, the present invention conducts a horizontal comparative analysis of the gearbox bearing temperatures of four 1.5MW units with strong correlations in a certain wind farm. The distribution characteristics of the bearing temperature-power scatter points of the gearboxes of four strongly correlated wind turbines were counted, and the abnormal changes in the relationship between the bearing temperature of the gearboxes of the monitored wind turbines and the bearings of other related wind turbines were found, and the gears of the monitored wind turbines were analyzed. The status of the box is judged and a fault warning is issued.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of wind turbine gearbox bearings, and in particular relates to a method for temperature state monitoring and fault diagnosis of wind turbine gearbox bearings. Background technique [0002] With the development of the economy and the improvement of people's living standards, human consumption of energy is increasing day by day, and the pollution to the environment is also becoming more and more serious. Facing the energy crisis and environmental crisis, we must find clean and sustainable alternative energy sources. Wind energy is the most promising alternative energy source. In recent years, wind power generation technology has become more and more mature, and the cost of power generation has gradually decreased to be close to that of thermal power. [0003] The operating conditions of wind turbines are harsh, such as large changes in external temperature difference and random changes in ...

AI Technical Summary

Problems solved by technology

The current vibration analysis technology is aimed at the time-varying and complex working conditions of variable speed and variable load of gearbox bearings. The accuracy of fault diagnosis is low, and the rate of false alarms and missing alarms is high.

The gearbox oil analysis technology diagnoses the state of the gearbox bearings by collecting gearbox oil samples during the shutdown of the wind turbine, and analyzing the water content in the lubricating oil, the number and diameter of metal particles in the laboratory, but the oil analysis It can only be diagnosed offline, and cannot realize online real-time monitoring and diagnosis of gearbox bearings

There is also a multi-layer forward neural network to model and monitor the bearing temperature of the wind turbine gearbox. However, due to the simple structure of the forward neural network and low modeling accuracy, it is difficult to timely and accurately monitor the abnormal changes in the gearbox bearing temperature. Early warning

[0006] The failure of the gearbox of the wind turbine will cause the unit to shut down for a long time, the maintenance cost is high, and the shutdown loss is large. It is of great significance to monitor and diagnose the operating status of the gearbox.

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