State monitoring method and device for wind generating set

Abstract

The invention discloses a state monitoring method and device for a wind generating set. The method comprises the steps that a sensor mounted on the wind generating set is utilized for measuring the actual values of n characteristic quantities of the wind generating set, wherein n is an integer larger than 0; based on a virtual standard control system of the wind generating set and a virtual sensor system of the sensor mounted on the wind generating set, the theoretical values of the n characteristic quantities are calculated according to current wind condition data; when the correlation coefficient between the actual value and the theoretical value of each of the n characteristic quantities is larger than a first threshold value, it is judged that the wind generating set has no anomaly.

Description

technical field [0001] The present invention relates to the technical field of wind power generation, and in particular to a state monitoring method and device for a wind power generating set. Background technique [0002] With the expansion of the scale of operation of wind turbines and the increase of operating time, mechanical failures of equipment tend to become normal. In order to monitor the condition of the wind power generating set and maintain it in a planned way, it is necessary to install corresponding sensors in multiple positions of the wind generating set. [0003] At present, there are not many methods for monitoring the state of sensors, mainly relying on the measurement data of other sensors to evaluate the state of the target sensor, and there is no method to judge the state of the sensor itself through the measurement data of the sensor itself. Because the measurement object of the sensor itself is an unknown quantity, it is difficult to judge whether the...

AI Technical Summary

Problems solved by technology

Because the measurement object of the sensor itself is an unknown quantity, it is difficult to judge whether there is a problem with the sensor itself or the measurement object when the measurement data of the sensor is abnormal.

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