A real-time dynamic monitoring method for the health status of a wind turbine gearbox

Abstract

The invention discloses a method for dynamically monitoring the health status of a wind turbine gearbox in real time in the technical field of status monitoring and fault diagnosis of rotating machinery. The method comprises the following steps: acquiring a vibration signal and operating and monitoring data of the gearbox; analyzing the vibration signal of the gearbox to obtain the time domain feature and frequency domain feature of the vibration signal of the gearbox and the envelope spectrum feature of an envelope signal; establishing an operation condition space for the gearbox and dividing the operation condition space of the gearbox into a predetermined number of operation condition sub-spaces of the gearbox according to the operating data of the gearbox; generating a health status feature library for each component of the gearbox from an obtained operation monitoring historical data subset; establishing a health status evaluation model to obtain a health status real-time evaluation model under each operation condition and the health index of each component; and finally, calculating the health index of the gearbox. With the method, the health status evaluation model is established, the complexity of determining a monitoring threshold under a complex dynamic operation condition is avoided, and the defect of linear distortion caused by the simple increment of multi-feature parameters is overcome.

Description

technical field [0001] The invention belongs to the technical field of state monitoring and fault diagnosis of rotating machinery, and in particular relates to a method for real-time dynamic monitoring of the health state of a wind turbine gearbox. Background technique [0002] The gearbox is a key component of the wind turbine, responsible for power transmission and speed change. Due to the complex and harsh operating environment (alternating load, humidity, wind and sand, vibration, high temperature, corrosion, etc.), the gearbox failure rate of wind turbines is extremely high. According to statistics, after 5 years of operation, the damage rate of gearboxes in wind farms is as high as 40% to 50%, and the replacement rate of very few gearboxes is almost close to 100%. In recent years, the failure rate of gearboxes has been increasing year by year, which has become the main reason for the low availability of wind farm units and high operation and maintenance costs. [000...

AI Technical Summary

Problems solved by technology

However, due to the lack of effective feature extraction and multivariate state information fusion, it is difficult to achieve an accurate assessment of the overall health state of the gearbox; in addition, the vibration and temperature state thresholds are fixed values ​​without considering the operating conditions (wind speed, speed, power, torque , air density, etc.) changes on the threshold value also affect the accuracy of the gearbox health status assessment

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