Gear box bearing performance prediction, residual life prediction and life prolonging method

Abstract

The invention discloses a gear box bearing performance prediction, residual life prediction and life prolonging method, which comprises the following steps of obtaining a gear box bearing performance degradation trend quantity expression through a Wiener model, and solving maximum likelihood estimated values of a drift parameter and a diffusion parameter by utilizing a sample likelihood function, substituting back into a performance degradation trend quantity expression to realize gear box bearing performance prediction, using the maximum likelihood estimation values of the drift parameters and the diffusion parameters, and predicting the gear box bearing service life upper limit and the gear box bearing remaining service life through a probability density function, and in fan control, introducing a virtual inertia control method for rotating speed recovery optimization. According to the performance prediction method, human factor interference can be avoided, and the prediction result is more accurate; the residual life prediction is simple to realize; and a virtual inertia control method for rotating speed recovery optimization is adopted, so that the load impact of a fan mechanical shaft system can be reduced, and the service life of a fan gear box is effectively prolonged.

Description

technical field [0001] The invention relates to the state assessment of wind turbine components, in particular to a gear box bearing performance prediction and remaining life prediction and life extension method. Background technique [0002] When evaluating the state of wind turbine components at home and abroad, the fuzzy evaluation method is often used for the performance prediction of gearbox bearings. Although this method can comprehensively consider various factors and perform quantitative evaluation, the selection of weights and the establishment of membership degrees are subjective and will cause problems. Affects the real validity of gearbox bearing performance prediction. For the prediction of the remaining life of gearbox bearings, the construction of mathematical and physical models is often used to estimate the remaining life. The parameters of the constructed mathematical and physical models need to be determined through a large amount of historical data of equ...

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Problems solved by technology

[0002] When evaluating the state of wind turbine components at home and abroad, the fuzzy evaluation method is often used for the performance prediction of gearbox bearings. Although this method can comprehensively consider various factors and perform quantitative evaluation, the selection of weights and the establishment of membership degrees are subjective and will cause problems. Affects the real validity of gearbox bearing performance prediction

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