Wind turbine generator fault diagnosis method based on data analysis

Abstract

The invention discloses a wind turbine generator fault diagnosis method based on data analysis and belongs to the technical field of wind turbine generator fault diagnosis. According to the wind turbine generator fault diagnosis method, wind turbine generator historical data analysis is utilized to diagnose wind turbine generator faults; fault diagnosis comprises steps of collecting historical data of the wind turbine generator and acquired field data information; identifying the data, and classifying and processing the data according to data types; and carrying out initial fault modeling on aspecific wind turbine generator; the method comprises the following steps of selecting a quantity which may be related to a wind power fault from SCADA system monitoring quantities, converting the quantity into a fault sample transaction set, analyzing according to expert experience and theoretical knowledge, and judging a fault development mode. According to the method, the wind turbine generator system fault is quickly identified by effectively utilizing the wind turbine generator system data, the fault positioning time of operation and maintenance personnel can be shortened, manpower resources are saved, the cost is reduced, and the method has positive guiding significance for researching a wind turbine generator system fault development mode.

Description

technical field [0001] The invention belongs to the technical field of wind turbine fault diagnosis, in particular to a data analysis-based fault diagnosis method for wind turbines. Specifically, it is a method for diagnosing faults of wind turbines by using data of wind turbines. Background technique [0002] Wind power has become one of the most important renewable energy sources worldwide because of its rich application scenarios and good economical power generation. The rapid development of wind power generation has also brought many new problems that need to be solved urgently, and the rapid and accurate diagnosis of wind turbine failure is one of them. Wind turbines work in a high-altitude environment and are exposed to severe weather such as storms, rainstorms, sun exposure, and sandstorms for a long time. Offshore wind turbines are also subject to corrosion by sea wind. These complex working conditions lead to high failure rates of wind turbines. For a long time, t...

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Problems solved by technology

Wind turbines work in a high-altitude environment and are exposed to severe weather such as storms, rainstorms, sun exposure, and sandstorms for a long time. Offshore wind turbines are also corroded by sea wind. These complex working conditions lead to a high failure rate of wind turbines.

For a long time, the maintenance methods used by wind farms are planned maintenance and post-event maintenance, that is, regular regular maintenance after the wind power equipment has been in operation for a period of time, or fault maintenance after the wind turbine fails. If the problem is not found in time, once a sudden failure occurs, it will cause huge losses

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