Wind turbine online condition monitoring and health assessment system and method thereof based on vibration and oil

Abstract

The invention provides a wind turbine online condition monitoring and health assessment system and a method thereof based on vibration and oil. The system comprises a vibration acceleration sensor, a vibration data acquisition device, an iron spectrometer, a data analysis device, a data processing module, a health estimation module and a remote diagnostic center. The vibration data acquisition device acquires the vibration signal of each part. The iron spectrometer collects and analyzes the iron spectrum value of gearbox oil. The data analysis device carries out time domain analysis, frequency domain analysis and time frequency analysis on the vibration signal and iron spectrum. Combined with a wind farm SCADA system, the data processing module processes wind speed, rotation speed and temperature signals and a data analysis result. According to the data analysis result, the health estimation module estimates the state of a wind turbine and judges the existence of a fault, a fault type and a fault degree. Each signal and analysis processing result is sent to the remote diagnostic center, the wind turbine is subjected to remote monitoring, centralized control, remote diagnosis, and expert consultation if necessary.

Description

technical field [0001] The invention belongs to the technical field of wind power generation equipment monitoring, and in particular relates to a vibration and oil-based online state monitoring and health assessment system and method for a wind power unit. Background technique [0002] With the rapid development of the wind power industry, more and more wind turbines have been connected to the grid and put into operation. In particular, a large number of wind turbines have been in operation for a certain period of time. The wind turbines have failed one after another, causing the units to stop running, which seriously affects the power generation. Economic losses. The failures of large wind turbines are mainly concentrated in key components such as gearboxes, generators, main shafts, blades, electrical systems, yaw systems, and control systems, among which the transmission chain has the highest failure rate. [0003] In order to monitor the health status of the transmission...

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Problems solved by technology

[0003] In order to monitor the health status of the transmission chain, most wind turbines are equipped with an online vibration status monitoring system, but the technology is not yet mature. At present, there are mainly the following problems: First, the signal collected by the system focuses on the vibration signal, while the early slight vibration of the gearbox components Wear and tear, the signal-to-noise ratio of the vibration signal is low, and the signal analysis may not be able to identify the fault characteristics well, resulting in a delay in the early warning, which leads to irreversible faults in the components; second, the system mainly realizes the data collection function, while the automatic data analysis and fault diagnosis The function is relatively weak and cannot meet the needs of real-time, periodic or on-demand inspection in actual operation

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