Industrial equipment health state evaluation method

A technology for health status and industrial equipment, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as reducing the efficiency of human-computer interaction, failing to understand the overall process status in time, and restricting software development, so as to improve accuracy. sexual effect

Inactive Publication Date: 2017-11-21
WUHAN UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When operators need to make necessary adjustments to on-site equipment, they cannot keep abreast of the overall process status and cannot efficiently formulate adjustment plans, thus reducing the efficiency of human-computer interaction;
[0005] (2) This type of software is generally designed

Method used

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  • Industrial equipment health state evaluation method
  • Industrial equipment health state evaluation method
  • Industrial equipment health state evaluation method

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] A method for evaluating the health status of industrial equipment described in this embodiment includes:

[0035] Step 1, FM for n failure modes by m members i (i=1,2,...,n) grade evaluation of occurrence frequency, impact degree and undetectability;

[0036] Step 2, FM for n failure modes by m members i (i=1,2,...,n) evaluate the importance weight grades of frequency of occurrence, degree of influence and degree of undetectability;

[0037] As a preferred method of this step, the specific schemes of steps 1 and 2 include:

[0038] m members form an FMEA team and specify the meanings of various symbols.

[0039] Before the actual calculation of the hazard of the failure mode, it is necessary to abstract the analysis process and calculation method in order to expand the scope of application of this method as much as possible.

[0040] First, ...

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Abstract

The invention discloses an industrial equipment health state evaluation method. The method includes: performing importance weight grade evaluation of occurrence frequency, influence degree and undetectability on n fault modes by m members; acquiring evaluation results of each fault mode when the m members are influenced by each risk factor; acquiring evaluation results on importance of each risk factor by the m members; acquiring risk priority number so as to acquire an industrial equipment health state evaluation result. The equipment health state evaluation method based on the fault mode risk priority number is established, health state of industrial equipment can be evaluated in a relatively accurate and scientific manner, specific grades can be given, the problem of high subjectivity in equipment state evaluation in daily production can be solved, and evaluation accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of remote monitoring of industrial equipment, and in particular relates to a method for evaluating the health status of industrial equipment. Background technique [0002] The industrial monitoring system is a special system for remote monitoring and data acquisition of equipment. It uses data communication network and computer control technology to realize real-time data acquisition, process supervision and fault monitoring of remote discrete equipment, and provides production scheduling, safety management and fault maintenance. Necessary data support will help managers make overall plans and make reasonable adjustments. The industrial monitoring system is currently the most effective automation system for enterprise production process monitoring and transaction management. It can provide enterprises with services such as on-site data collection, equipment failure alarm, production process monitoring and hi...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 周云耀黄悠然刘洋彭愫
Owner WUHAN UNIV OF TECH
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