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contributor authorC. Cempel
date accessioned2017-05-08T23:31:32Z
date available2017-05-08T23:31:32Z
date copyrightJanuary, 1989
date issued1989
identifier issn1048-9002
identifier otherJVACEK-28980#82_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/106296
description abstractFor many critical machines the only source of diagnostic knowledge is passive experiment during machine operation. If we treat the observed vibration symptoms for a group of machines as an outcome of the Weibull type stochastic process we can calculate the average symptom life-curve and the alarm and break-down ratio. These appear to be dependent on the Weibull shape factor (existing machine quality) and maintenance parameters used at a given plant. The results of passive experiment shown in the paper confirm fully the paper’s theoretical consideration.
publisherThe American Society of Mechanical Engineers (ASME)
titlePassive Diagnostics and Reliability Experiment: Application in Machine Condition Monitoring
typeJournal Paper
journal volume111
journal issue1
journal titleJournal of Vibration and Acoustics
identifier doi10.1115/1.3269828
journal fristpage82
journal lastpage87
identifier eissn1528-8927
keywordsMachinery
keywordsReliability
keywordsCondition monitoring
keywordsIndustrial plants
keywordsShapes
keywordsStochastic processes
keywordsPerformance
keywordsVibration AND Maintenance
treeJournal of Vibration and Acoustics:;1989:;volume( 111 ):;issue: 001
contenttypeFulltext


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