Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass
This paper described the detection of broken rotor bars using motor vibration analysis. The main objective is to study and diagnose the problem in AC induction motor by using motor vibration analysis to monitor its condition. Motor vibration analysis is performed with the motor on-line using CSI Mac...
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2001
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my-uitm-ir.845202024-02-19T01:48:08Z Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass 2001 Abass, Noor Hamidi This paper described the detection of broken rotor bars using motor vibration analysis. The main objective is to study and diagnose the problem in AC induction motor by using motor vibration analysis to monitor its condition. Motor vibration analysis is performed with the motor on-line using CSI Machinery Analyzer. This provides the information of vibration spectrum to determine broken or cracked rotor bars and it is also useful for detecting various rotor faults. The scope of analysis information spectrum covers on the broken rotor bars of AC induction motor. Information from analyzer will be diagnoses using Artificial Intelligence software to show whether the condition of motor is in good health or not. The development utilizing of this Fuzzy Logic software allows a faster analysis and more accurate result. 2001 Thesis https://ir.uitm.edu.my/id/eprint/84520/ https://ir.uitm.edu.my/id/eprint/84520/1/84520.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Ismail, Ishak |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Ismail, Ishak |
| description |
This paper described the detection of broken rotor bars using motor vibration analysis. The main objective is to study and diagnose the problem in AC induction motor by using motor vibration analysis to monitor its condition. Motor vibration analysis is performed with the motor on-line using CSI Machinery Analyzer. This provides the information of vibration spectrum to determine broken or cracked rotor bars and it is also useful for detecting various rotor faults. The scope of analysis information spectrum covers on the broken rotor bars of AC induction motor. Information from analyzer will be diagnoses using Artificial Intelligence software to show whether the condition of motor is in good health or not. The development utilizing of this Fuzzy Logic software allows a faster analysis and more accurate result. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Abass, Noor Hamidi |
| spellingShingle |
Abass, Noor Hamidi Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass |
| author_facet |
Abass, Noor Hamidi |
| author_sort |
Abass, Noor Hamidi |
| title |
Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass |
| title_short |
Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass |
| title_full |
Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass |
| title_fullStr |
Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass |
| title_full_unstemmed |
Detection of broken rotor bars using motor vibration analysis / Noor Hamidi Abass |
| title_sort |
detection of broken rotor bars using motor vibration analysis / noor hamidi abass |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2001 |
| url |
https://ir.uitm.edu.my/id/eprint/84520/1/84520.pdf |
| _version_ |
1794192013576372224 |