Method for diagnosing faults of wind generating set gear case

A technology for fault diagnosis of wind turbines, applied in the testing of machine gears/transmission mechanisms, etc., can solve problems such as the accuracy of fault diagnosis in unbalanced data sets, and achieve the effect of improving prediction accuracy

Inactive Publication Date: 2013-09-04
SHANGHAI DIANJI UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to solve the above-mentioned technical problems, provide a kind of fault diagnosis method of wind turbine gearbox, based on the EasyEnsemble algorithm PSOEE of Particle Swarm Optimization (PSO) feature selection, to improve the accuracy of gearbox fault unbalanced data set Fault diagnosis accuracy problem

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  • Method for diagnosing faults of wind generating set gear case
  • Method for diagnosing faults of wind generating set gear case
  • Method for diagnosing faults of wind generating set gear case

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Embodiment Construction

[0024] The specific implementation of the fault diagnosis method for the gearbox of a wind power generating set according to the present invention will be described in detail below in conjunction with the accompanying drawings.

[0025] See attached figure 1 ,

[0026] A method for fault diagnosis of a gearbox of a wind power generating set, characterized in that it includes the following methods:

[0027] Step 1: Select several effective features of the gearbox to establish a multi-dimensional target space, simulate several fault categories, and collect fault data of the several fault categories (step S02 in the figure);

[0028] Step 2: Perform time domain and amplitude domain analysis on the fault data, and extract frequency domain parameters and amplitude domain parameters to become a training data set (step S01 in the figure);

[0029] Step 3: The training data set is regarded as a population, and each data in the training data set is regarded as a particle, and the dat...

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Abstract

The invention relates to the technical field of fault diagnosis of equipment with high fault rate and discloses a method for diagnosing faults of a wind generating set gear case. The method for diagnosing the faults of the wind generating set gear case comprises the steps that (1) a plurality of effective characteristics of the gear case are selected to establish a multi-dimensional objective space, a plurality of fault categories are simulated, and fault data of the fault categories are collected; (2) time-domain analysis and width-domain analysis are conducted on the fault data and frequency-domain parameters and width-domain parameters are extracted to serve as a training dataset; (3) the training dataset is regarded as a cluster, each datum in the training dataset is regarded as an element, and one data subset is optimized through the iterative algorithm; (4) the speed and the position of each element are updated through a fitness function f(i); (5) an optimal dataset is obtained. The method for diagnosing the faults of the wind generating set gear case solves the problem that data in the wind generating set gear case fault diagnosis are unbalanced and the forecast accuracy of the unbalanced dataset by a classifier is improved by the PSOEE algorithm.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of high-fault equipment, in particular to a fault diagnosis method for a gearbox of a wind power generating set. Background technique [0002] Wind turbines operate in harsh outdoor natural environments for a long time, and the failure rate is higher than that of conventional generators. According to incomplete statistics, the average availability rate of wind turbines in my country's wind farms is generally lower than 95%. In addition to the unqualified wind power access system, the high failure rate of wind turbines is a major factor. These factors lead to the maintenance of wind turbines. Cost has become the main operating cost of wind farms. According to the average calculation of the operating cost of wind turbines in the 20-year life cycle, the maintenance cost of wind turbines is about 1.2€ / kWh. Therefore, reducing maintenance costs is an important way to improve the operating effici...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/02
Inventor 刘天羽邢飞
Owner SHANGHAI DIANJI UNIV
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