Wind turbine generator abnormal online vibration signal identification method and system

Abstract

The invention discloses a wind turbine generator abnormal online vibration signal identification method and system, and the method comprises the steps: carrying out the network communication test and hardware test of a wind turbine generator through an online monitoring system, collecting the online vibration signals of all transmission chain parts in the operation process of the wind turbine generator, and transmitting the online vibration signals back to the online monitoring system; the online monitoring system performs feature extraction on the online vibration signals, rapidly screens out abnormal online vibration signals, can timely eliminate the abnormal online vibration signals, generates an abnormal vibration signal report and transmits the abnormal vibration signal report to a preset device and a wind power field to complete identification of the online vibration signals; according to the method, the abnormal vibration signal report is generated by identifying the abnormal online vibration signal, so that the data quality is ensured, and the operation state analysis accuracy of the wind turbine generator is improved; meanwhile, the continuity of online vibration signal data is ensured, the whole life cycle of the wind turbine generator is ensured, failure analysis is in place, the analysis labor cost is reduced, and the monitoring efficiency of the wind turbine generator is improved.

Description

technical field [0001] The invention relates to the technical field of online vibration monitoring of wind turbines, in particular to a method and system for identifying abnormal online vibration signals of wind turbines. Background technique [0002] Because wind turbines are installed in high mountains, wilderness, beaches, islands and other tuyere places, they are subjected to irregular wind changes in direction and load, as well as the impact of strong gusts of wind, and are subjected to extreme heat and cold and extreme temperature differences all year round, resulting in frequent failures of wind turbines. In recent years, the failure statistics of the main components of wind turbines: the failures caused by gearboxes, generators, and blades are the main causes of wind turbine failures, and the failure rate of gearboxes is increasing year by year, and the failure percentage has exceeded 60%. The component with the highest failure rate. If the units fail one after anot...

AI Technical Summary

Problems solved by technology

If the units fail one after another and cause the units to stop running, it will seriously affect the power generation and cause economic losses

[0003] The main mechanical equipment of the wind turbine transmission chain is composed of main bearings, gearboxes, couplings, generators and their supporting structures. It is necessary to send an alarm in time for the monitoring position where the vibration value exceeds the standard in the transmission chain, and analyze the vibration data through software. , timely discover the faults and their types, fault locations and severity of the mechanical components of the transmission chain; at present, the analysis of the vibration data of the transmission chain often needs to analyze the data one by one to determine the operating status of the wind turbine components, and some abnormal vibration signals need to be identified in the process , it takes a lot of time to screen, which increases labor costs and affects the monitoring efficiency of wind turbines

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