Tjandi, Yunus and Mappalotteng, Abdul Muis (2017) Damage Diagnosis Induction Motor Based on Fuzzy Logic. International Journal of Applied Engineering Research, 19 (12). pp. 8103-8114. ISSN 0973-4562
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Abstract
Abstract: There is a prototype of an intelligent software madebased on fuzzy logic that can diagnose damage/fault of 1 phase induction motor caused by sound (noise), speed, current, voltage and unstable temperature. The findings of this research revealedthat: (1) the intelligent software made had worked properly as expected by the industry companies (PT. Semen Tonasa, PT.IKI, CV. General Electric Workshop, Lab.of UPTD BPPT South Sulawesi Province, Lab. of Electrical Engineering Department and Computer of Faculty of Engineering UNM), which was to describe the types of faults suffered by 1 phase induction motor so that it could be quickly resolved, (2) the diagnostic system tested in the industry had successfully detected types of faults suffered by 1 phase induction motor against the effect of current, voltage, speed, noise and unstable temperature. It was described by the inference technique with fuzzy inputapplied of which the result described that the primary coil insulationalready pared, the bearing of the machine was still normal, the additional coils had been burned, and the condition of the capacitors already melted, (3) the intelligent software made could detect 55 and 3125 types of faults, (4) the software made was flexible which means that new input can be added to the facility related to causes of damages/faultssuffered by induction machine.
| Item Type: | Article |
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| Uncontrolled Keywords: | Intelligent Software, Fault Diagnosis, Inference Technique, Current, Voltage, Speed, Sound, and Unstable Temperature. |
| Subjects: | KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN |
| Divisions: | KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN |
| Depositing User: | S.T., M.T. Faruq Ratuhaji |
| Date Deposited: | 18 Jun 2019 01:46 |
| Last Modified: | 18 Jun 2019 08:29 |
| URI: | http://eprints.unm.ac.id/id/eprint/13403 |
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