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Fault rate statistical method and system for a wind turbine generator

A technology of wind turbines and statistical methods, applied in the direction of information technology support systems, calculations, instruments, etc., can solve the problems of long-term operating time, short running time of grid-connected wind turbines, and restrictions on the healthy development of the wind power industry.

Inactive Publication Date: 2019-06-11
GUODIAN UNITED POWER TECH
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Problems solved by technology

[0002] According to the survey results of fault diagnosis and maintenance status of wind turbines, there are currently two main problems: on the one hand, the logical relationship of the cause of the fault is not clear, which makes it difficult to locate the cause after the fault occurs; on the other hand, the on-site maintenance personnel have different fault handling capabilities. neat, resulting in long maintenance and overhaul time
The failure rate of wind turbines in my country is generally higher than that of other power generation equipment. As more and more units are put into operation, more and more unit failures are exposed. A series of problems such as long judgment and repair time, low availability, and equivalent annual operation time of rated power farther than 2000 hours have seriously restricted the healthy development of the wind power industry

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  • Fault rate statistical method and system for a wind turbine generator
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  • Fault rate statistical method and system for a wind turbine generator

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Embodiment Construction

[0034] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0035] figure 1 It shows the flow of the wind turbine failure rate statistical method provided by the present invention. see figure 1 , the wind power failure rate statistical method provided by the present invention includes:

[0036] S11, according to the pre-established fault tree model of the wind turbine, perform qualitative analysis on the fault of the wind turbine to obtain a minimum cut set of the fault tree.

[0037] S12. Obtain fault time series information of the wind turbine.

[0038] S13. Establish a fault distribution function model based on the fault time series information and referring to a pre-established fault tree model of the wind turbine.

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Abstract

The invention provides a fault rate statistical method and system for a wind turbine generator. The method comprises the following steps: according to a pre-established fault tree model of a wind turbine generator, carrying out qualitative analysis on faults of the wind turbine generator to obtain a minimum cut set of a fault tree; Acquiring fault time sequence information of the wind turbine generator; according to the fault time sequence information, establishing a fault distribution function model by referring to a minimum cut set of a fault tree model; and calculating the top event probability, the probability importance degree, the structure importance degree and the key importance degree of the wind turbine generator fault according to the fault distribution function model of the wind turbine generator. According to the fault rate statistical method and system for the wind turbine generator, an effective means for quantitative analysis is provided for the fault rate of the wind turbine generator, and effective technical support is provided for improving the fault handling capacity of on-site maintenance personnel.

Description

technical field [0001] The present invention relates to the technical field of fault diagnosis, in particular to a method and system for statistics of the fault rate of wind turbines. Background technique [0002] According to the survey results of fault diagnosis and maintenance status of wind turbines, there are currently two main problems: on the one hand, the logical relationship of the cause of the fault is not clear, which makes it difficult to locate the cause after the fault occurs; on the other hand, the on-site maintenance personnel have different fault handling capabilities. Qi, resulting in long maintenance and overhaul time. [0003] To meet the development needs of the wind power industry, the capacity of wind turbines is becoming larger and larger. How to reduce equipment manufacturing costs and improve the utilization efficiency of wind energy is a key concern of wind power machine manufacturers. The failure rate of wind turbines in my country is generally h...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCY04S10/50
Inventor 褚景春袁凌何昆潘磊于天笑索春明赵冰谢海峡王亮丁亮
Owner GUODIAN UNITED POWER TECH
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