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Method and system for abnormal detection of wind turbine gearbox oil temperature based on scada data

A technology for gearbox oil and wind turbines, applied in geometric CAD and other directions, can solve the problems of estimated value deviation, reduce the reliability of abnormal oil temperature detection results, and cannot obtain the error range of gearbox oil temperature, and achieve online detection of abnormal oil temperature. , Realize the effect of offline abnormal oil temperature detection, effectiveness and practicability verification

Active Publication Date: 2020-12-29
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These single-point estimation methods all rely on an assumption: the increase of the gearbox oil temperature is only caused by the internal abnormality of the gearbox, thus ignoring the influence of environmental factors and fan operation status on the gearbox oil temperature, which makes the estimated value have a certain degree of uncertainty. deviation
In addition, based on these methods, the error range of the gearbox oil temperature cannot be obtained, which may reduce the reliability of the abnormal oil temperature detection results

Method used

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  • Method and system for abnormal detection of wind turbine gearbox oil temperature based on scada data
  • Method and system for abnormal detection of wind turbine gearbox oil temperature based on scada data
  • Method and system for abnormal detection of wind turbine gearbox oil temperature based on scada data

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Embodiment 1

[0040] In one or more embodiments, a method for abnormal detection of gearbox oil temperature based on SCADA data is disclosed, comprising the following steps:

[0041]Step (1): Data selection. According to the object to be detected, the appropriate monitoring quantity is selected as the input and output of the model according to the professional background knowledge and the correlation analysis method of the data.

[0042] Among them, the data correlation analysis method is Pearson correlation analysis method, and its calculation formula is:

[0043]

[0044] Among them, cov(X,Y) is the covariance of vector X,Y, σ X ,σ Y are the standard deviations of X and Y, respectively.

[0045] Step (2): Data preprocessing. According to the corresponding monitoring data selected by the method of step (1), the historical normal operation data is selected as the training data and the test data, and the data of the period to be detected is selected as the data to be tested. And prep...

Embodiment 2

[0118] In one or more embodiments, a wind turbine gearbox oil temperature anomaly detection system based on SCADA data is disclosed, including:

[0119] A module for selecting the data related to the oil temperature of the gearbox from the numerous state parameters monitored by SCADA as the input quantity of the model;

[0120] A module for filtering and normalizing the data; a module for selecting historical normal operation data as training data and test data, and selecting data in a time period to be tested as data to be tested;

[0121] A module for constructing a probability estimation model of gearbox oil temperature based on sparse Bayesian learning theory, and a module for setting coverage indicators and bandwidth indicators as model evaluation indicators;

[0122] A module used to optimize the bandwidth of the kernel function in the probability estimation model of gearbox oil temperature with the goal of minimizing the bandwidth index under the condition of guaranteed...

Embodiment 3

[0126] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the SCADA data-based abnormal detection method for the oil temperature of the wind turbine gearbox in the first embodiment. For the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a method and system for detecting abnormal oil temperature of a wind turbine gearbox based on SCADA data, including: selecting data related to the oil temperature of the gearbox from a large number of state parameters monitored by SCADA as a model input; and filtering the data and normalization processing; construct the probability estimation model of gearbox oil temperature, and set the coverage index and bandwidth index as model evaluation indexes; optimize the kernel function bandwidth in the probability estimation model of gearbox oil temperature, and optimize the Evaluate the model; estimate the distribution interval of the gearbox oil temperature in the period to be detected under a given confidence level; compare the distribution interval of the gearbox oil temperature with the actual gearbox oil temperature to determine whether the gearbox oil temperature is An exception occurs. The method of the invention can detect the abnormal state of the gear box of the wind turbine before a serious fault occurs through the detection of the abnormal oil temperature of the gear box, thereby providing a basis for operation and maintenance personnel to formulate maintenance plans.

Description

technical field [0001] The invention relates to the technical field of detecting abnormal oil temperature of a gearbox of a wind turbine, in particular to a method and system for detecting abnormal oil temperature of a gearbox of a wind turbine based on SCADA data. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Due to the harsh operating environment of wind turbines, the failure rate of wind turbines (hereinafter referred to as 'fans') is higher than that of traditional thermal power / hydroelectric generators. In addition, wind turbines are mostly located in remote areas with inconvenient transportation or on the sea, which makes the operation and maintenance costs of wind turbines remain high, seriously affecting the economic benefits of operators. A feasible method is to monitor the condition of wind turbines, and use certain abnormalit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17
CPCG06F30/17
Inventor 杨明曾祥军孛一凡
Owner SHANDONG UNIV