Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for judging faults of wind turbine generator systems

A technology for fault judgment of wind power generators, applied in the field of fault judgment methods and devices for wind power generators, capable of solving problems such as difficulty in handling uncertainties and complexity of fault information for large wind power generators

Inactive Publication Date: 2011-11-23
SHANGHAI DIANJI UNIV
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the complexity and uncertainty of fault information of large-scale wind turbines, it is difficult to deal with the problem, and the fuzzification method of confidence measure and plausibility measure based on random set is proposed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for judging faults of wind turbine generator systems
  • Method and device for judging faults of wind turbine generator systems
  • Method and device for judging faults of wind turbine generator systems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Embodiments of the present invention provide a method and device for fault judgment of a wind power generating set, which acquires and calculates fault mode information, obtains fuzzy evidence through fusion, processes the fuzzy evidence according to pre-set judgment rules, and outputs the corresponding fuzzy evidence according to the fuzzy evidence Fault types, and then realize early detection of possible faults of wind turbines, effectively reduce the risk of failure of wind turbines, and effectively ensure the continuous and efficient operation of wind turbines. In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0043] Embodiments of the present invention provide a method and device for fault judgment of a wind power generating set, such as image 3 As shown, the specific steps include:

[0044] Ste...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method and device for judging faults of wind turbine generator systems. The method and the device have the following beneficial effects: the possible faults of the wind turbine generator systems are discovered ahead of time by obtaining and computing the fault mode information and obtaining ambiguous evidences through fusion, processing the ambiguous evidences according to the preset judgment rule and outputting the fault types corresponding to the ambiguous evidences according to the ambiguous evidences, thus effectively reducing the fault risks of the wind turbine generators and effectively guaranteeing continuous and efficient operation of the wind turbine generators.

Description

technical field [0001] The invention relates to the field of fault diagnosis of large-scale wind power generators, in particular to a method and device for fault diagnosis of wind power generators. Background technique [0002] With the advancement of science and technology and the rapid development requirements of modern industry, the structure of large wind turbines is becoming more and more complex, which greatly increases the possibility of its failure. However, the fault characteristics and fault modes of the equipment show strong coupling, randomness and ambiguity, and also show the gradual change of faults. The so-called fault coupling means that there is an intricate corresponding relationship between fault features and fault modes, which usually shows that one fault mode can exhibit multiple fault features, and the same fault feature may be caused by different faults. [0003] At present, the researches on fault diagnosis of wind turbines mainly include neural netw...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34
Inventor 苗锐陈国初王鹏
Owner SHANGHAI DIANJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products