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The model can effectively determine the maintenance\/service time that leads to a low maintenance cost in comparison to other types of maintenance strategy. Neural Networks tool (NNTool) in Matlab is used to apply the model and an illustrative example is discussed.<\/p>","DOI":"10.4018\/ijeis.2013100104","type":"journal-article","created":{"date-parts":[[2014,1,28]],"date-time":"2014-01-28T16:21:34Z","timestamp":1390926094000},"page":"43-62","source":"Crossref","is-referenced-by-count":5,"title":["An Intelligence-Based Model for Condition Monitoring Using Artificial Neural Networks"],"prefix":"10.4018","volume":"9","author":[{"given":"K.","family":"Jenab","sequence":"first","affiliation":[{"name":"Society of Reliability Engineering, Ottawa, Canada"}]},{"given":"K.","family":"Rashidi","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Ryerson University, Toronto, Canada"}]},{"given":"S.","family":"Moslehpour","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Hartford University, West Hartford, CT, USA"}]}],"member":"2432","reference":[{"key":"ijeis.2013100104-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2012.02.002"},{"key":"ijeis.2013100104-1","doi-asserted-by":"publisher","DOI":"10.4018\/jeis.2006100103"},{"key":"ijeis.2013100104-2","doi-asserted-by":"publisher","DOI":"10.1504\/IJADS.2010.034836"},{"issue":"6","key":"ijeis.2013100104-3","first-page":"1275","article-title":"Autonomous diagnostics and prognostics in machining processes through competitive learning-driven HMM-based clustering.","volume":"43","author":"R. 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