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

Equipment state trend analysis and fault diagnosis method

A technology of trend analysis and fault diagnosis, which is applied in the field of trend analysis and fault diagnosis of industrial equipment, and can solve problems such as prediction and judgment of equipment failure time due to the remaining operating time of the equipment

Pending Publication Date: 2021-07-06
瑞湖智科数据(苏州)有限公司
View PDF1 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method cannot predict and judge the remaining operating time of the equipment and the expected equipment failure time

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
  • Equipment state trend analysis and fault diagnosis method
  • Equipment state trend analysis and fault diagnosis method
  • Equipment state trend analysis and fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] This embodiment provides a method for equipment status trend analysis and fault diagnosis, including the following steps:

[0039] S1. Obtain historical operating parameters of the equipment to be diagnosed;

[0040] S2. Preprocess the historical operating parameters to obtain the analysis data set; to meet the time domain and frequency domain analysis requirements of the historical operating parameters; it should be noted that the analysis data set is used as a follow-up trend analysis algorithm and / or fault diagnosis algorithm The input parameter set can be set as a temperature risk data set or a vibration analysis data set according to the choice of equipment judgment;

[0041] S3. Establish a trend algorithm model according to the analysis data set;

[0042] S4. Obtain the current operating parameters of the equipment to be diagnosed, and input the current operating parameters into the current trend algorithm model, and then compare the current operating parameters...

Embodiment 2

[0050] This embodiment provides a method for equipment status trend analysis and fault diagnosis, such as figure 1 shown, including the following steps:

[0051] S1. Obtain historical operating parameters of the equipment to be diagnosed;

[0052]Specifically, the historical operating parameters include a vibration time-series sequence and a temperature time-series sequence; wherein, the vibration time-series sequence is vibration frequency data with time labels, and the temperature time-series sequence is temperature data with time labels. The selection of the vibration frequency data depends on the difference of the equipment to be diagnosed and the difference of the signal acquisition equipment, and can be selected as vibration displacement signal, vibration velocity signal and / or vibration acceleration signal.

[0053] S2. Preprocess the historical operating parameters to obtain the analysis data set; to meet the time domain and frequency domain analysis requirements of t...

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 the technical field of trend analysis and fault diagnosis of industrial equipment, and aims to provide an equipment state trend analysis and fault diagnosis method which comprises the following steps: acquiring historical operation parameters of equipment to be diagnosed; preprocessing the historical operation parameters to obtain an analysis data set; establishing a trend algorithm model according to the analysis data set; obtaining current operation parameters of the equipment to be diagnosed, inputting the current operation parameters into the current trend algorithm model, and comparing the current operation parameters with preset normal state parameters to obtain the degradation degree of the equipment to be diagnosed; and obtaining a prediction trend curve according to the current trend algorithm model, and obtaining a predictive maintenance time window according to the prediction trend curve, the current operation parameters and a preset standard limit value. The equipment state can be monitored in real time, an equipment user can master the accurate operation condition of the equipment conveniently, and meanwhile, an enough time window is provided for follow-up maintenance of the equipment.

Description

technical field [0001] The invention relates to the technical field of trend analysis and fault diagnosis of industrial equipment, in particular to an equipment state trend analysis and fault diagnosis method. Background technique [0002] At present, the trend analysis and fault diagnosis of industrial equipment mainly adopt the method of manual experience judgment. The equipment management of most enterprises adopts the method of planned maintenance, that is, to collect the operating parameters of the equipment in operation at the planned time node, and then judge the current operation status of the equipment through the manual experience of engineers. However, this method mainly draws conclusions based on the data at that time, and cannot judge the future operation trend of the equipment. In some enterprises with better information construction, the historical operation data of the equipment will be collected, and the equipment operation status will be displayed in real ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00
CPCG06Q10/0639G06Q10/20
Inventor 李胜王勇赵明钟志成
Owner 瑞湖智科数据(苏州)有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com