{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc3256"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc3256","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"Using Motor Electrical Signature Analysis to Determine the Mechanical Condition of Vane-Axial Fans","abstract":"The purpose of this research was a proof of concept using a fan motor stator as transducer to monitor motor rotor and attached axial fan for mechanical motion. The proof was to determine whether bearing faults and fan imbalances could be detected in vane-axial fans using Motor Electrical Signature Analysis (MESA). The data was statistically analyzed to determine if the MESA systems could distinguish between baseline conditions and discrete fault frequencies for the three test conditions: bearing inner race defect, bearing outer race defect, and fan imbalance. The statistical conclusions for these proofs of concept were that MESA could identify all three faulted conditions.","abstract_html":"The purpose of this research was a proof of concept using a fan motor stator as transducer to monitor motor rotor and attached axial fan for mechanical motion. The proof was to determine whether bearing faults and fan imbalances could be detected in vane-axial fans using Motor Electrical Signature Analysis (MESA). The data was statistically analyzed to determine if the MESA systems could distinguish between baseline conditions and discrete fault frequencies for the three test conditions: bearing inner race defect, bearing outer race defect, and fan imbalance. The statistical conclusions for these proofs of concept were that MESA could identify all three faulted conditions.","abstract_has_math":false,"creators":["Doan, Donald Scott"],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Plummer, Mitty C.","Foster, Phillip R.","Johnson, J. Lynn","Hopkins, Daniel N."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002-08","date_published":"2002-08","updated_at":"2026-07-24T05:34:52Z","subjects":["Fans (Machinery)","Nuclear power plants -- Design and construction.","fan motor","Motor Electrical Signature Analysis","MESA","mechanical condition","vane axial fans"],"languages":["English"],"rights":["Public","Copyright","Doan, Donald Scott","Copyright is held by the author, unless otherwise noted. 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The data was statistically analyzed to determine if the MESA systems could distinguish between baseline conditions and discrete fault frequencies for the three test conditions: bearing inner race defect, bearing outer race defect, and fan imbalance. The statistical conclusions for these proofs of concept were that MESA could identify all three faulted conditions."],"dc:format":["Text"],"dc:identifier":["oclc: 50591530","doi: 10.12794/metadc3256","https://digital.library.unt.edu/ark:/67531/metadc3256/","ark: ark:/67531/metadc3256"],"dc:language":["English"],"dc:publisher":["University of North Texas"],"dc:rights":["Public","Copyright","Doan, Donald Scott","Copyright is held by the author, unless otherwise noted. 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