@inproceedings{scholars2503,
           pages = {1059--1067},
         journal = {AIP Conference Proceedings},
            year = {2012},
           title = {Use of fuzzy logic for condition monitoring of motor driven machineries},
         address = {Melaka},
             doi = {10.1063/1.4704321},
          volume = {1440},
            note = {cited By 0; Conference of 4th International Meeting of Advances in Thermofluids, IMAT 2011 ; Conference Date: 3 October 2011 Through 4 October 2011},
            issn = {0094243X},
          author = {Janier, J. B. and Zaim Zaharia, M. F.},
            isbn = {9780735410329},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874436830&doi=10.1063\%2f1.4704321&partnerID=40&md5=aee1106be54238458540b3f7717061d3},
        abstract = {An intelligent system called Fuzzy Logic is one of the current technologies that allow a description of the desired system behavior using common language. It generalizes the yes-no Boolean logic into numerical value of 1 and 0 but also permits the in between values. This paper presents the use of Fuzzy Logic to determine the unusual increase of vibrations of an induction motor called vibration analysis. Sudden increase of vibrations could be a good indicator of faulty condition of the motor. Based on the vibration characteristics of the motor, a Fuzzy Inference System (FIS) was created. The system classified the motor of the gas distribution pump as 'acceptable' of the vibration ranges from 1.8mm/s to 4.5mm/s or 'monitor closely' of the vibration ranges from 4.5mm/s to 7.1mm/s respectively. The system enabled an early detection of faults which is very important in maintenance management. {\^A}{\copyright} 2012 American Institute of Physics.}
}