Unit equipment temperature abnormity detection method

An anomaly detection and equipment technology, used in thermometers, thermometer applications, computer-aided design, etc., can solve problems such as high working speed of equipment, equipment damage, and inability to obtain fitting accuracy.

Active Publication Date: 2019-07-12
CHINA INST OF WATER RESOURCES & HYDROPOWER RES +1
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional temperature monitoring alarm value adopts a unified static alarm threshold, which has two defects: (1) The temperature value of the equipment alarms, but it is found that the ambient temperature or the high operating speed of the equipment caused the alarm.
(2)

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
  • Unit equipment temperature abnormity detection method
  • Unit equipment temperature abnormity detection method
  • Unit equipment temperature abnormity detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0126] This embodiment uses the online monitoring data of a wind turbine (rated power: 4MW, generator rated speed: 1600r / min) in a wind farm as a sample to verify the effectiveness of the equipment temperature anomaly detection model based on WCA and Shepard interpolation . The ambient temperature of the nacelle in which the wind turbine is operating and the speed of the generator determine the operating temperature of the equipment in the nacelle. Due to the continuous conversion of these operating conditions, the changes in the operating temperature of the equipment are extremely complicated, and the equipment cannot be obtained directly from the equipment temperature data. The true state of health and its evolution trend. Therefore, the characteristics of the unit equipment are needed to establish a sophisticated equipment temperature anomaly detection model that can adapt to changes in unit operating conditions.

[0127] (1) Select standard sample data

[0128] The online mon...

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 unit equipment temperature abnormity detection method. The method comprises the following steps that (1) establishing a unit equipment temperature abnormal state identification model based on WCA and Shepard interpolation based on analysis of historical data of unit equipment, wherein the historical data of the unit equipment comprises temperature state monitoring data of a unit under different environmental factors and operation conditions; (2) acquiring environmental parameters, operating condition parameters and corresponding measured temperature values of the unit equipment under the current working condition, and inputting the environmental parameters and the operating condition parameters of the unit equipment under the current working condition into the unit equipment temperature abnormal state identification model to obtain a health standard value output by the model; and (3) comparing the measured temperature value of the unit equipment under the current working condition with the health standard value, and determining the temperature running state of the unit equipment under the current working condition according to a comparison result. The method can be widely applied to the field of temperature abnormity detection of unit equipment.

Description

Technical field [0001] The invention relates to a method for detecting abnormal temperature of unit equipment, in particular to a method for detecting abnormal temperature of unit equipment based on Shepard surface and water circulation algorithm. Background technique [0002] During the operation of the unit equipment, due to surface friction, heat radiation, and electrical reasons, the temperature changes of the unit components are complicated, and it is difficult to establish a mathematical model for it. In order to obtain the operating temperature status and development trend of the unit equipment in time and prevent the occurrence of unexpected accidents, it is necessary to fully study the influencing factors of temperature parameters and establish a reasonable and reliable unit equipment temperature abnormality detection model. [0003] The traditional temperature monitoring alarm value adopts a unified static alarm threshold value, which has two defects: (1) The device tempe...

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): G01K13/00G01K1/02G06F17/50
CPCG01K13/00G01K1/02G06F2119/08G06F30/20
Inventor 安学利付婧郭曦龙
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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