Wind power plant equipment state evaluation and maintenance decision support detection method and system

Abstract

The invention provides a wind power plant equipment state evaluation and maintenance decision support detection method. The method comprises the steps of (1) collecting and analyzing information whichcomprises technical data related to equipment patrol records, fault statistics and equipment running conditions; (2) performing charged detection: effectively monitoring a running state of wind powerplant equipment through the data collected by an instrument, and performing fault detection and prevention; (3) implementing state maintenance of a decision making system: by collecting and analyzingrunning data of the equipment, carrying out state evaluation work on the equipment to determine whether the equipment needs to be maintained or not and maintenance items; and (4) establishing an equipment pre-test maintenance optimization scheme: by implementing the state maintenance of the wind power plant equipment and the charged detection of the equipment, performing state evaluation on the equipment according to wind power plant equipment state evaluation rules, and customizing a maintenance policy. The invention furthermore discloses a corresponding detection system. The maintenance test cycle is prolonged, and maintenance test items are optimized, so that the maintenance test expense is reduced, excessive maintenance and lacking maintenance of the equipment are prevented, and the equipment stability is further improved.

Description

technical field [0001] The invention belongs to the field of state evaluation and maintenance of electric equipment, and in particular relates to a method and system for supporting state evaluation and maintenance decision-making of wind farm equipment. Background technique [0002] The operating status of wind power generation equipment depends on the operating status of the overall structure of the wind power generating equipment. By monitoring and evaluating the operating status of wind farm equipment, hidden dangers can be discovered in time, the cause of the problem can be found out, and corresponding measures can be taken for the faulty parts of the equipment. Corresponding maintenance and repair measures provide the basis, which can not only save the maintenance and repair costs of wind power generation equipment, but more importantly, prevent the entire power generation process from stopping due to structural failures, and even bring danger to people's lives, as well ...

AI Technical Summary

Problems solved by technology

The state evaluation methods in the prior art are divided into: probability statistics method, intelligent method based on neural network, fuzzy evaluation method and knowledge-based expert system, each of which has its own advantages and limitations. There is no systematic and mature technology for monitoring and forecasting of operating status. Most enterprises adopt a system of coexistence of planned maintenance and post-event maintenance for the maintenance and management of power generation equipment, and only a very small number of enterprises use a system that combines planned maintenance, condition maintenance and post-event maintenance. , the research on condition evaluation of wind power equipment is still in its infancy, and there are not many studies on condition evaluation and condition-based maintenance in this area.

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