State monitoring and failure diagnosis method for wind generating set variable pitch system

Abstract

The invention discloses a state monitoring and failure diagnosis method for a wind generating set variable pitch system. The method includes the steps that 1, in data collection, operation parameters related with the operation state of the variable pitch system are extracted from a wind generating set SCADA system; 2, according to feature parameter extraction, a Relief algorithm is utilized for extracting effective feature parameters of the variable pitch system; 3, in data analysis and prediction, historical data during normal operation of the variable pitch system are screened out to establish a health model of a fan and calculate the prediction value of a real-time signal and the difference between an actual output value and the prediction value; 4, according to a diagnosis algorithm, the operation state of the fan is judged according to residual error information transmitted by the step 3, and the main failure reason of the variable pitch system is found according to a corresponding diagnosis rule and the contribution rate of residue errors; 5, according to data storage, real-time data, prediction data and the diagnosis result are stored to facilitate failure analysis at the later period and provided as reference data for modifying the failure diagnosis rule.

Description

technical field [0001] The invention belongs to the technical field of on-line monitoring and analysis of megawatt-level wind power generation technology, and in particular relates to a method for state monitoring and fault diagnosis of a pitch system of a wind power generating set. Background technique [0002] The variable speed and pitch control algorithm of large-scale megawatt wind turbines is complex, and it is a subsystem with a high failure rate in wind turbines. If a downtime occurs, it will take a long time from overhaul to normal operation. If a downtime occurs during a period of good wind speed, it will greatly affect the power generation of the wind turbine, thereby causing huge economic losses to the enterprise. If a wind turbine failure occurs, the wind turbine's condition monitoring technology can be used to monitor and analyze the operating parameters of the pitch system, and then quickly find the cause of the failure and determine the maintenance method, w...

AI Technical Summary

Problems solved by technology

Once the fan fails to stop, the SCADA system will display specific fault information, but the fault information often contains multiple fault causes, so it is impossible to accurately locate the fault type and cause, resulting in longer maintenance time and reduced power generation

Images