Fault early warning method based on wind turbine temperature

Abstract

The invention discloses a wind power generating set temperature based fault early warning method which comprises the following steps that S1, one wind power generating set of a whole wind power plantis a monitoring unit, the rest of the wind power generating sets arereference units, and a monitoring portion of the monitoring unit and monitoring portions of the reference units are provided with first temperature sensors respectively, wherein each monitoring portion provided with the corresponding first temperature sensor forms a monitoring site; S2, thetemperature of one monitoring site of themonitoring units is collected; S3, the temperatures of samemonitoring sites of the reference units are synchronously collected to form a first reference temperature set, and an average value is solved to obtain a first reference temperature; and S4, thetemperature of the monitoring unit is compared with the first reference temperature, whether temperature data between a current moment of the monitoring unit and a moment 1h forward continues to rise or not is judged if the temperature of the monitoring unit is larger than the first reference temperature by 50 percent, and a fault early warningsignal is sent out if the temperature data between the current moment of the monitoring unit and the moment 1h forward continues to rise. The wind power generating set temperature based fault early warning method has the beneficial effects that the abnormal condition of wind power generating set equipment can be timely warned to avoid serious faults, and the false alarm rate is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of wind turbine monitoring. More specifically, the present invention relates to a fault early warning method based on the temperature of a wind turbine. Background technique [0002] Most of the large-scale grid-connected wind turbines are located in mountains, deserts or coasts where the climate changes, and the speed and direction of the wind are constantly changing. Most of the main components of wind turbines are arranged in the nacelle. Since they are installed on high towers, each component is subject to complex and variable loads at any time, and the probability of failure is much higher than that of ground equipment. For a long time, wind turbines have been adopting the mode of "planned maintenance" and "after-event maintenance". Due to the lack of accurate judgment and health analysis on the operation of the unit, planned maintenance has caused unnecessary maintenance, and after-event maintenance, ...

AI Technical Summary

Problems solved by technology

[0003] At present, monitoring the operating status of wind turbines by monitoring the temperature of wind turbines is widely used, but most of them are based on a constant single temperature threshold warning, or based on a certain parameter to divide the working conditions, without considering the actual application, ambient temperature, The influence of air pressure on the temperature of wind turbines leads to a high rate of false alarms

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