On-line evaluation model establishment method and on-line evaluation method of fan gearbox condition

A technology for evaluating models and establishing methods, applied in the field of power systems, can solve problems such as constraints, ambiguity and uncertainty of gearbox state transition boundaries

Active Publication Date: 2018-11-27
HUAQIAO UNIVERSITY
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Problems solved by technology

[0005] Although the trend state analysis method has achieved good application results, in practical applications, due to the fuzzy and uncertain characteristics of the gearbox state transition boundary, how to judge the transition of the trend state has always been a difficult problem restricting the application of this method.
[0006] Diagnosis is carried out by analyzing the statistical characteristics of the residual, but the residual threshold still needs to be determined by the operator based on experience; the statistical process control technology is used to analyze the residual between the actual value and the estimated value of the gearbox oil temperature and bearing temperature, and the method is established. On the basis of mathematical statistics methods, a large amount of statistical data is needed to support

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  • On-line evaluation model establishment method and on-line evaluation method of fan gearbox condition
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  • On-line evaluation model establishment method and on-line evaluation method of fan gearbox condition

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Embodiment Construction

[0059] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0060] In order to solve the problems existing in the trend state analysis method, the present invention provides a method for establishing an online wind turbine gearbox state evaluation model based on the trend prediction-normal cloud model, and uses the support vector machine method to establish a gearbox operating temperature prediction model, and uses This model analyzes the trend state characteristics of the gearbox in different states, and obtains the relative error sequence of the gearbox operating temperature prediction to obtain quantitative data describing the trend state of the gearbox; the improved inverse normal cloud generator model without certainty is used, and the The obtained relative error sequence extracts the digital features of normal cloud and abnormal cloud, constructs the cloud model of gearbox state monitoring, calcul...

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Abstract

The invention relates to a draught fan gear box state on-line evaluation model building method based on a trend prediction-normal cloud model and a draught fan gear box state on-line evaluation method. When a trend state analysis method is in practical application, due to the fact that the gear box state conversion boundary has the fuzziness and uncertainty characteristics, how to judge conversion of the trend states is always a problem which restrics application of the method. According to the draught fan gear box state on-line evaluation model building method, the problems existing in the trend state analysis method are solved. Results show that a model built through the building method can early warn the early defects of a gear box in time, the purpose of on-line state monitoring is achieved, prevention of occurrence of serious faults of the gear box is facilitated, and the safety, reliability and economy of a wind generation set are improved.

Description

technical field [0001] The present invention relates to the technical field of electric power systems, and more specifically, relates to a method for establishing an online evaluation model of a wind turbine gearbox state based on a trend prediction-normal cloud model, and an online evaluation method for a wind turbine gearbox state. Background technique [0002] In order to improve the availability of wind turbines and reduce downtime, a lot of work has been done in the prior art to improve the reliability of wind turbines. According to the statistical data of wind turbine failure and downtime, the average downtime of the gearbox is 12 days / year. Although the failure rate of the gearbox is not high, the total cost of repair, replacement and downtime loss is very high. The real-time status monitoring of the gearbox and timely detection of abnormalities are of great significance for reducing the operation and maintenance cost of the gearbox and improving the reliability of th...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor方瑞明江顺辉
OwnerHUAQIAO UNIVERSITY