Variable-pitch motor temperature anomaly monitoring method and early warning method

A pitch motor and abnormal monitoring technology, applied in the monitoring of wind turbines, engines, mechanical equipment, etc., can solve problems such as loss, achieve the effect of improving operating efficiency and reducing failure frequency

Active Publication Date: 2020-03-31
风脉能源(武汉)股份有限公司
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The SCADA fault alarm system does not perform any operation on whether the operating temperature

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
  • Variable-pitch motor temperature anomaly monitoring method and early warning method
  • Variable-pitch motor temperature anomaly monitoring method and early warning method
  • Variable-pitch motor temperature anomaly monitoring method and early warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] A monitoring method and early warning method for abnormal temperature of pitch motor, such as figure 1 Shown.

[0037] The relationship between wind speed and temperature difference studied by this method can diagnose the performance of the pitch system under different working conditions during the operation of the unit, and specifically monitor the operation status of the pitch system of the unit under each working condition; in addition, this method can find the unit The difference in the operation of the three pitch motors during operation can better show the operating status of the unit's pitch system and find out the potential safety hazards of the unit's pitch system earlier.

[0038] 1. The structure of temperature difference time series

[0039] For a single wind turbine, the operation of the three blades is basically the same. In the SCADA fault alarm system, there is a special monitoring for the pitch angle and pitch asymmetry of the three blades, and a fixed fault ...

Embodiment 2

[0082] Example 1: Monitoring method and early warning method of pitch motor temperature abnormality combined with an example of a 07 wind turbine

[0083] (1) Select the SCADA data of a wind farm, the model is Goldwind 1.5MW, the time interval is 10s, from 2018-05-1900:00:00 to 2019-04-3023:59:50. Here we select the operating status of the unit in May 2018 for display. The rated power of the unit is 1.5MW, and the lower limit of steady-state full power is set to p lim =1450kw, the duration exceeds T≥1h, the temperature of the pitch motor corresponding to the selected steady-state full power segment;

[0084] (2) Calculate the time series of the difference between the maximum and minimum motor temperature of the pitch motor

[0085] During the operation of this unit, the temperature of pitch motor 1 is always higher than the temperature of other pitch motors, so the time series corresponding to {X} is the temperature time series of pitch motor 1, and the time series corresponding to ...

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 relates to a variable-pitch motor temperature anomaly monitoring method and an early warning method. According to the monitoring method, a temperature difference time sequence between avariable-pitch motor with maximum average temperature and a variable-pitch motor with minimum average temperature in a wind turbine generator under each steady-state full-load power segment in a certain time period is calculated, an average temperature difference value of the temperature difference time sequence corresponding to each steady-state full-load power segment is calculated, and a temperature difference average point beyond a temperature difference average value fluctuation interval of the variable-pitch motor is searched according to the distribution condition of the temperature difference average value. The methods aim to diagnose the abnormal working condition of the generator, discover hidden dangers as soon as possible, reduce the fault frequency of the generator and improvethe operation efficiency of the generator.

Description

Technical field [0001] The invention belongs to the technical field of wind power generation, and particularly relates to a method for monitoring abnormal temperature of a pitch motor and an early warning method. Background technique [0002] With the country’s policy tilt and urgent demand for new energy, wind power has been used in many regions. More and more wind farms are established, and the safe operation and inspection of wind turbines is one of the most concerned issues for owners. The pitch system is one of the major components that are prone to failure, and has the characteristics of sudden failure and difficult detection, which increases the difficulty of operation and maintenance of the pitch system by the operation and maintenance personnel. [0003] The main functions of the pitch system include: ensuring the effective use of wind energy by the wind turbine, ensuring the safety of the wind turbine in extreme conditions, and avoiding accidents such as speeding and fal...

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): F03D17/00
CPCF05B2270/3032F05B2270/328F03D17/00
Inventor 李思亮王杨严宁李宜祥姚禹
Owner 风脉能源(武汉)股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap