Comprehensive health status evaluation method for rotation machinery equipment based on influence of use and maintenance

A technology for comprehensive evaluation of rotating mechanical equipment, applied in special data processing applications, testing of machine/structural components, measuring devices, etc. Condition monitoring data and other issues

Active Publication Date: 2016-04-27
BEIJING INST OF ELECTRONICS SYST ENG
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for comprehensive evaluation of the health status of rotating machinery based on the influence of use and maintenance. The monitoring data does not comprehensively consider the influence of service age, working conditions, maintenance activities and other factors of use and maintenance

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  • Comprehensive health status evaluation method for rotation machinery equipment based on influence of use and maintenance
  • Comprehensive health status evaluation method for rotation machinery equipment based on influence of use and maintenance
  • Comprehensive health status evaluation method for rotation machinery equipment based on influence of use and maintenance

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Embodiment 1

[0090] Limited to the current experimental conditions and engineering application conditions, there is a lack of monitoring data for the entire life of several maintenance activities. This case uses a combination of physical experiments and data simulation to verify, and make the following reasonable settings:

[0091] (1) Adopt a maintenance strategy based on the comprehensive health status, that is, only trigger and execute maintenance activities when the comprehensive health is lower than the set threshold hT;

[0092] (2) Set the maintenance effectiveness of each maintenance activity as a constant (ε k =ε), the value range is 0 to 1;

[0093] (3) The downtime of equipment caused by maintenance activities is negligible compared with equipment running time;

[0094] (4) It is assumed that the working conditions are continuously deteriorating.

[0095] Table 1 shows the parameters hT, ε and ψ(z i ), where ψ(z i ) Can be calculated by formula (7). Service age factor (AG), operating con...

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Abstract

The invention discloses a comprehensive health status evaluation method for rotation machinery equipment based on influence of use and maintenance. The health status of the equipment is influenced by different factors, related influential factors are analyzed and arranged, and divided into technical status factors and non-technical status factors, and concepts of an inherent health degree and a comprehensive health degree are defined. The inherent health degree of the rotation machinery equipment is evaluated on the basis of WPD (Wavelet Packet Decomposition) and SOM (Self-Organizing Map) by utilizing degeneration state monitoring data of the equipment. A proportion degeneration model is established by considering influence of service age and condition; and on the basis of an evaluation result of the inherent health degree, influence of service age and condition is also taken into evaluation of the comprehensive health degree. A proportion health recovery model is established, and influence of maintenance is further taken into evaluation of the comprehensive health degree. Influence of the service age, condition and maintenance are comprehensively considered on the basis of the proportion degeneration model (PDM) and the proportion health recovery (PHR) model, and evolution rule of the comprehensive health degree is derived.

Description

Technical field [0001] The invention relates to the technical field of intelligent maintenance (IM) of rotating machinery. More specifically, it relates to a comprehensive assessment method for the health of rotating machinery and equipment based on the impact of use and maintenance. Background technique [0002] At present, driven by the needs of reducing maintenance costs, shortening maintenance downtime and improving equipment availability, and driven by the rapid development of sensor data collection, data transmission, computer calculation, pattern recognition, artificial intelligence and other technologies, equipment maintenance strategies have changed from Passive corrective maintenance FAF (Fail and Fix), blind periodic preventive maintenance, develop towards condition-based maintenance and predictive maintenance, to realize the equipment active maintenance mode PAP (Predict and Prevent). Relevant research shows that 99% of mechanical failures, especially rotating machin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M99/00G06F19/00
Inventor 陶小创倪晓峰曲丽丽何俊王承红
Owner BEIJING INST OF ELECTRONICS SYST ENG
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