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Wind power equipment fault diagnosis method and system

A fault diagnosis and fault technology, applied in general control systems, control/regulation systems, test/monitoring control systems, etc.

Inactive Publication Date: 2017-09-05
STATE GRID JIBEI ELECTRIC POWER COMPANY +4
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the problem of fault diagnosis of wind power equipment, the purpose of the present invention is to provide a method and system for fault diagnosis of wind power equipment based on data clustering and association rules. Intelligent criteria comprehensively diagnose wind power equipment faults, overcome the defects and deficiencies of a single method, and improve the accuracy of wind power equipment fault diagnosis

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  • Wind power equipment fault diagnosis method and system
  • Wind power equipment fault diagnosis method and system
  • Wind power equipment fault diagnosis method and system

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0050] see figure 1 , a kind of wind power equipment fault diagnosis method based on data clustering and association rules of the present invention, its method is as follows:

[0051] (1) Extract the data. The historical data in the data warehouse are mainly obtained from the fan SCADA (data acquisition and monitoring control system), PMS (production management system) and other systems.

[0052] (2) Convert the data. Data conversion is to change the type, size, number of decimal places, precision or field of the data to be empty. During the conversion process, different data sources should be converted accordingly, such as: TXT, EXCEL, DOC, DB, etc.; the data type in the source data is changed from int type to char type, and the data occupied space is 8 bytes. 4 bytes etc.

[0053] (3) Load the data, classify and load the converted data int...

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Abstract

The invention discloses a wind power equipment fault diagnosis method and system. According to the invention, related data of wind power equipment is comprehensively collected, a data warehouse is built, the data integrity is ensured, a data basis is provided for data mining, fault data is extracted from historical data of the data warehouse, the fault data is converted and loaded to the data warehouse so as to build a multi-dimensional data model and a fault fact table, preliminary analysis is performed on the data by adopting clustering analysis, data correlation analysis is performed by integrating various types of data, comparative judgment is performed, integration of multiple intelligent criteria is formed, and wind power fault diagnosis example explanation is performed according to the intelligent criteria. The wind power equipment fault diagnosis method has the advantages of complete criterion, advanced method and accurate judgment, provides a new method for power equipment fault judgment, overcomes defects and disadvantages of a single method and improves the accuracy of fan equipment fault diagnosis.

Description

technical field [0001] The invention relates to the field of wind power equipment fault diagnosis, in particular to a wind power equipment fault diagnosis method and system. Background technique [0002] A wind turbine is a complex multi-body and multi-domain system, including not only rotating blades, hubs, gearboxes, bearings, shafts and other mechanical components, but also hydraulic systems, electrical systems, and complex control systems and power electronics systems. If real-time status monitoring data and SCADA information can be used to predict or identify potential accident signs through fault prediction algorithms and technologies before catastrophic failures occur, preventive maintenance can be implemented in advance to avoid major losses caused by accidents. [0003] The fault diagnosis of wind power equipment involves many aspects of knowledge. At present, the most researched method for the wind turbine blade / pitch system is to use the output power analysis of t...

Claims

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Application Information

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IPC IPC(8): G06K9/62G05B23/02
CPCG05B23/0281G06F18/2321
Inventor 卞晓东孙立华孟庆强胡牧邓春孔震罗黎明白恺宋鹏杨伟新来骥
Owner STATE GRID JIBEI ELECTRIC POWER COMPANY
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