Wind generating set maintenance system based on multilevel diagnosis

A technology of wind power generators and maintenance systems, applied in the field of intelligent information systems, can solve problems that are not conducive to rapid analysis, no consideration, etc.

Active Publication Date: 2013-06-19
XIANGTAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method does not consider the influence of the common factors of the internal and external environment of the wind turbine on the wind turbine, and is not conducive to rapid analysis and maintenance recommendations

Method used

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  • Wind generating set maintenance system based on multilevel diagnosis
  • Wind generating set maintenance system based on multilevel diagnosis

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0017] The maintenance system of the present invention is divided into four levels, such as figure 1 shown. The arrangement of maintenance systems at all levels is as follows:

[0018] 1. The wind turbine level maintenance system is arranged inside the wind turbine tower, and its carrier can be the main control programmable logic controller of the wind turbine or a dedicated industrial computer.

[0019] 2. The wind farm-level maintenance system is arranged in the main control room of the wind farm, and its carrier can be a SCADA system server or an industrial computer. 2. The wind farm-level maintenance system is connected to 1. Wind turbine-level maintenance and 5. The maintenance systems of other units arranged in the wind farm through the communication network in the wind farm.

[0020] 3. The area-level maintenance system can be arrang...

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Abstract

The invention provides a multilevel diagnostic wind generating set maintenance system. The multilevel diagnostic wind generating set maintenance system uses a multilevel failure diagnosis mechanism. Considering influence of generic factors of different levels on a fan, the multilevel diagnostic wind generating set maintenance system is divided into a wind turbine generator level maintenance system arranged inside a wind turbine generator, a wind power plant level maintenance system arranged in a central control room of a wind power plant, a piece area level maintenance system arranged in a wind power plant cluster control centre and a manufacturer level maintenance system arranged on a device manufacturer maintenance center. With/through the method that generic influencing factors with different level ranges are brought into feature libraries of the maintenance system, and the feature libraries are updated and maintained level by level, analysis of running state and identification of failures can be achieved, running record can be provided level by level, and operation order can be maintained.

Description

technical field [0001] The invention relates to an intelligent information system for guiding the maintenance work of a wind power generating set, in particular to an architecture of the maintenance system. Background technique [0002] The wind turbine is a complex system with high technical content including materials, electrical, mechanical, control, communication and other disciplines. The interior of the wind turbine includes high and low voltage electrical devices, high and low speed rotating mechanical devices, intelligent control devices, fasteners, structural parts, wires and cables, communication cables and other components, and the internal working conditions are complex. At the same time, wind turbines operate in harsh environments such as high altitude, low temperature, strong wind and sand, high salt spray, freezing, and strong magnetic fields. The external environment has a serious impact on the operating conditions of wind turbines. The operational complexit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D11/00
CPCY02P70/50
Inventor 田淑娟黄凌翔
Owner XIANGTAN UNIV
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