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An intelligent diagnosis method for high yaw speed faults of large semi-direct drive units

A technology of yaw speed and intelligent diagnosis, applied in the direction of engines, mechanical equipment, wind engines, etc., to achieve the effect of ensuring scientificity, avoiding invalid workload, and increasing economic benefits

Active Publication Date: 2019-11-05
GUANGDONG MINGYANG WIND POWER IND GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the diagnosis of high yaw speed faults is still in the mode of requiring wind farm operation and maintenance personnel to board the wind turbine to check each related component one by one

Method used

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  • An intelligent diagnosis method for high yaw speed faults of large semi-direct drive units
  • An intelligent diagnosis method for high yaw speed faults of large semi-direct drive units
  • An intelligent diagnosis method for high yaw speed faults of large semi-direct drive units

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with specific examples.

[0028] Such as figure 1 As shown, the intelligent diagnosis method for high yaw speed faults of large semi-direct drive units provided in this embodiment is based on the high-frequency time series data of wind turbine label points collected in real time in the wind field, so that when the wind turbine reports a high yaw speed fault , in a short period of time, and without the need for operation and maintenance personnel to board the wind turbine to check or analyze the operating data, the most likely cause of the high yaw speed of the wind turbine is automatically diagnosed through the program, and the diagnosis results will guide The operation and maintenance personnel of the wind farm conduct troubleshooting and processing, so as to efficiently realize the rapid and intelligent diagnosis and processing of faults with high yaw speed. It specifically includes the following st...

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Abstract

The invention discloses an intelligent diagnosis method for large semi-direct drive unit yaw velocity high faults. The intelligent diagnosis method comprises the steps that when the faults are triggered, a fault diagnosis model is invoked; data before and after the faults occur are extracted; the yaw velocity is calculated; the problem of a yaw encoder is recognized; the yaw slip problem is recognized; the pressure problem of hydraulic yaw braking is recognized; and an intelligent diagnosis result is displayed and pushed. According to the intelligent diagnosis method, the actual reason of theyaw velocity high faults can be quickly diagnosed based on fan tag point data collected from a wind field in real time, manual participation is avoided, the fault checking and handling time is greatlyshortened, fault shut-down time can be shortened, and the economic benefits of a wind power plant can be increased.

Description

technical field [0001] The invention relates to the technical field of wind power fault diagnosis, in particular to an intelligent fault diagnosis method for a large semi-direct drive unit with high yaw speed. Background technique [0002] The distribution of wind turbines in wind farms is relatively scattered, and there are a large number of them. Usually when a fan fails, the operation and maintenance personnel will go to the fan unit to troubleshoot the fault, and it will take a lot of time and energy to deal with the fault. This will greatly prolong the downtime of wind turbines, which will not only lead to unnecessary loss of power generation, but also may further aggravate the failure situation due to insufficient timely treatment of the failure, and may even cause other related failures. If it is possible to analyze the monitoring data of the unit through the program and diagnose the cause of the failure when the unit reports a failure, it will greatly shorten the tr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F03D17/00
CPCF03D17/00
Inventor 李颖嘉王冬冬李永战孙安平王起昆张蔷
Owner GUANGDONG MINGYANG WIND POWER IND GRP CO LTD
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