Wind turbine set gearbox remote online state monitoring and life assessment method

Abstract

The invention provides a wind turbine set gearbox remote online state monitoring and life assessment method. The method comprises the following steps: (1) a remote center computer collects a real-time operation parameter, temperature data and vibration data of each wind turbine through SCADA; (2) through analyzing the characteristic values of signal time domain and frequency domain, whether a vibration sensor has a fault or not is diagnosed; (3) the data is subjected to normalization process, a difference between data is reduced, and the diagnosis precision is raised; (4) when the fault of a wind generator set gearbox is diagnosed, different filtering modes are employed for different algorithms to extract the corresponding characteristic; (5) the collected data is subjected to characteristic extraction; (6) the fault diagnosis is carried out to provide the fact that whether the fault exists or not and the degree of the fault; (7) the residual life of the failed gearbox is estimated through a gray theory model, and an autoregression model is established for the residual error of the predication result to raise the predication precision. According to the method, the real-time estimation of the residual life is realized, and a basis is provided for the planned maintenance of the wind turbine set.

Description

technical field [0001] The invention relates to a remote on-line state monitoring and life evaluation method for a gearbox of a wind power generating set, and belongs to the technical field of evaluating the operating state of the gearbox of a wind generating set. It specifically relates to the condition monitoring, fault degree evaluation and residual life prediction method of the wind turbine gearbox. Background technique [0002] With the increase of installed capacity of wind power in my country and the increase of operating time of wind turbines, it is necessary to evaluate the operating status of the gearbox of wind turbines in order to better improve the transmission efficiency of wind turbines and reduce the corresponding maintenance costs. Due to the unstable drive and load of wind turbines, traditional fault monitoring methods have large diagnostic errors. If the fault cannot be found and dealt with in time, it will cause a big accident and huge loss; if the opera...

AI Technical Summary

Problems solved by technology

At present, the state assessment of wind turbines is mainly focused on state monitoring and qualitative analysis of faults, which can identify equipment faults and the type and location of faults, but lacks quantitative evaluation of faults and residual life evaluation under operating conditions

Images