Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Methods and systems for diagnostic standard establishment and intelligent diagnosis of wind generation set oil monitoring

A diagnostic standard and technology of wind turbines, applied in the direction of electrical digital data processing, special data processing applications, material inspection products, etc., can solve problems such as misjudgment, lack of pertinence, and inaccurate diagnostic results, so as to improve analysis efficiency, Improve the efficiency of analysis and diagnosis and realize the effect of batch diagnosis

Inactive Publication Date: 2015-06-24
LONGYUAN BEIJING WIND POWER ENG TECH
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] One object of the present invention is to provide a method for establishing a diagnostic standard for oil monitoring of wind turbines and a system applying the method. The method and system for establishing the diagnostic standard can establish accurate and objective diagnostic standards, are highly targeted, and are used for oil monitoring and analysis The diagnosis results are reliable and accurate, and can play an effective early warning role, thereby overcoming the national general oil change index, which is not targeted, and the diagnosis results are not accurate enough, which often leads to misjudgment.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Methods and systems for diagnostic standard establishment and intelligent diagnosis of wind generation set oil monitoring
  • Methods and systems for diagnostic standard establishment and intelligent diagnosis of wind generation set oil monitoring
  • Methods and systems for diagnostic standard establishment and intelligent diagnosis of wind generation set oil monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The invention provides a method and a system for calculating a diagnosis standard according to the oil detection data of a wind turbine, and a method and a system for intelligently diagnosing the oil detection data of a wind turbine.

[0031] The method for establishing the diagnosis standard for oil monitoring and diagnosis of wind turbines in the present invention includes: performing a normality test on the oil detection data; selecting a calculation method for the diagnosis standard based on the result of the normality test; using the selected calculation method to obtain Diagnostic criteria.

[0032] see figure 1 As shown, as a preferred embodiment, the establishment method of the wind turbine oil monitoring and diagnosis standard includes the following steps: first, according to the actual needs, according to the parameters such as region, wind farm, fan type, oil type, oil change time, and oil use time, Select the oil detection data, and edit and organize the da...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses methods and systems for diagnostic standard establishment and intelligent diagnosis of wind generation set oil monitoring. The method for diagnostic standard establishment comprises the steps that normality testing is carried out on oil test data, a calculating method for diagnostic standards is selected on the basis of results of normality testing, and the diagnostic standards are obtained through calculation. The method for intelligent diagnosis of wind generation set oil monitoring comprises the steps of establishing a diagnostic standard library according to the standard establishment method, extracting the diagnostic standards from the diagnostic standard library according to monitoring objects, and comparing the oil test data with the extracted diagnostic standards to judge whether the current oil test data belong to normal values, or attention values or alarming values. By means of the method and system for diagnostic standard establishment, accurate and objective diagnostic standards can be established, pertinence is high, accuracy is high, and an effective early-warning effect can be achieved; the method and system for intelligent diagnosis of wind generation set oil monitoring can greatly improve oil monitoring analytical judgment efficiency.

Description

technical field [0001] The invention relates to the technical field of monitoring of wind turbines, in particular to a method and system for establishing oil monitoring and diagnosis standards of wind turbines and an intelligent diagnosis. Background technique [0002] With the rapid development of my country's wind power industry, it is extremely important to improve the reliability of wind turbine operation. Condition monitoring of wind turbines is an important measure to improve the reliability of wind turbines. Among them, oil monitoring is one of the important contents of condition monitoring. [0003] The diagnostic criteria for oil monitoring are the basis for making diagnostic conclusions based on test data. The current oil monitoring and diagnosis standards generally use the national general oil change index, which is not targeted, and the diagnosis results are not accurate enough, which often leads to misjudgment. Since the deterioration of the oil in use depend...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30G01N33/28
CPCG01N33/28G06F16/903
Inventor 孙玉彬
Owner LONGYUAN BEIJING WIND POWER ENG TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products