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Method Study And System Development On Condition Monitored And Failure Diagnosis For Crucial Facilities In ChangZhi Iron & Steel (Group) Co. Ltd. Steelworks

Posted on:2004-06-27Degree:MasterType:Thesis
Country:ChinaCandidate:H S LiFull Text:PDF
GTID:2168360092495397Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
The condition monitored and failure diagnosis techniques are becoming more and more important for manufacture being gone on wheels, avoiding accident of facilities, making the operator safely, and increasing the economic benefit. The work of developing computerized automatic monitoring and diagnosis system has very huge practical value because it is an important measure of realizing prescient servicing and managing facilities dynamically in enterprise.In this thesis, on the basis of method study on condition monitored and failure diagnosis, study on fuzzy condition monitored and failure diagnosis method on the basis of associative operation of fuzzy theory and pattern identification theory, critical path of using the method is creation fuzzy relative matrixes by using fuzzy condition monitored and failure diagnosis method , in the paper author make much study.On the basis of summary of several kinds method on condition monitored and failure diagnosis and referring a lot of literature and the practical situation of oxygen shop floor of ChangZhi Iron &. Steel (Group) Co. Ltd Steelworks , the system about condition monitored and failure diagnosis on H410 air compressor is developed in this thesis. The system has following cases: start, stable function , end. The software has many good characters such as: using easily, perfect functions, high automatization etc. All of these meet the need of computerized automatic monitoring and diagnosis very well.Much result of diagnosis verified that the system has correct analysis result, dependable functions and very good effect by practice. So, it can conclude that the software is feasible and effective.
Keywords/Search Tags:condition monitored, Failure diagnosis, air compressor, Software
PDF Full Text Request
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