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dc.contributor.authorSalunkhe, Vishal G.
dc.contributor.authorKhot, S. M.
dc.contributor.authorDesavale, R. G.
dc.contributor.authorYelve, Nitesh P.
dc.contributor.authorJadhav, Prashant S.
dc.date.accessioned2024-12-24T19:15:12Z
dc.date.available2024-12-24T19:15:12Z
dc.date.copyright6/7/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn2572-3901
dc.identifier.othernde_7_3_031006.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303589
dc.description.abstractThis study investigates the dynamics of roller bearings by utilizing the dimension theory technique to diagnose the bearing clearance faults of revolving machines. The generation of local defects in rotating machines is closely related to the clearance behavior of the rotor-bearing system. A dynamic model of bearing with dimension theory by matrix method (DTMM) is developed for characteristics of bearing clearance considering the influence of local defects on the inner and outer bearings races. The characteristics of bearing internal radial clearance considering the impact of the defect on the bearing are analyzed. An experimental study has been performed under various operational conditions. The noisy signal is subsequently eliminated using the modulation signal bispectrum (MSB). The efficiency and reliability of the stated approach are evaluated using a specialized bearing test and a run-to-failure fibrizer test. As a result, this technology offers a significant opportunity to execute more cost-effective maintenance work to eliminate the breakdown of machinery.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleAn Integrated Dimension Theory and Modulation Signal Bispectrum Technique for Analyzing Bearing Fault in Industrial Fibrizer
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue3
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4065545
dc.journal.fristpage31006-1
dc.journal.lastpage31006-10
dc.page10
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 003
dc.contenttypeFulltext


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