Wind generating set fault diagnosis method and system

Abstract

The invention relates to a wind generating set fault diagnosis method and a wind generating set fault diagnosis system. The method includes the steps of building a wind generating set fault database according to wind generating set fault statistic data, collecting set fault information and building logic relationships between independent faults, judging generation of fault signals, carrying out filtering processing on the fault signals and converting pulse signals to logic variables, locating the fault signals and shielding secondary fault signals with the logic relationships according to the logic relationships of the step B, and judging a fault which happens to a wind generating set firstly from the primary fault signals. The system comprises a wind generating set fault database, a set fault information relativity processing module, a fault signal pre-processing module, a set fault locating module and a fault information first judge module. The method and the system solve the problem that the wind generating set needs manual trouble shooting and fault source diagnosis after the fault happens, improve the utilization rate of the wind generating set and wind field generating capacity, and are reliable in logic, low in equipment cost and beneficial to popularize.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a fault diagnosis method and system for a wind power generating set. Background technique [0002] In recent years, with the continuous development of wind power generation, the installed capacity of wind farms has increased year by year, and the proportion of wind power generation has become larger and larger, and it has gradually become a conventional energy source. With the increase in the number of wind turbines and the increase in the cumulative use time, the failure rate of the wind turbine itself has also increased accordingly. These failures are distributed among various equipment and systems in the unit. The first failure will cause a series of safety actions, improving The efficiency of quickly diagnosing unit failures and quickly investigating hidden dangers of the unit directly determines the utilization rate of the unit, and even affects the power gener...

AI Technical Summary

Problems solved by technology

However, according to the existing technology, after a wind turbine failure occurs, it is necessary to manually check and diagnose the source of the failure, and it is often impossible to quickly determine the failure of the unit, and it is also impossible to quickly check the hidden dangers of the unit.

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