Broken rotor bar detection of induction machine using wavelet packet coefficient-related features
Fault diagnosis of induction machine can be achieved through wavelet packet analysis to acquire information about its stability and mutability. This paper presents an experimental evaluation of applying wavelet packet transform based on the sideband components, (1 ± 2ks)fs, for broken rotor fault de...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41124/ http://psasir.upm.edu.my/id/eprint/41124/1/Broken%20rotor%20bar%20detection%20of%20induction%20machine%20using%20wavelet%20packet%20coefficient-related%20features.pdf |
| _version_ | 1848849610809802752 |
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| author | Zolfaghari, Sahar Mohd Noor, Samsul Bahari Mariun, Norman Marhaban, Mohammad Hamiruce Mehrjou, Mohammad Rezazadeh Karami, Mahdi |
| author_facet | Zolfaghari, Sahar Mohd Noor, Samsul Bahari Mariun, Norman Marhaban, Mohammad Hamiruce Mehrjou, Mohammad Rezazadeh Karami, Mahdi |
| author_sort | Zolfaghari, Sahar |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Fault diagnosis of induction machine can be achieved through wavelet packet analysis to acquire information about its stability and mutability. This paper presents an experimental evaluation of applying wavelet packet transform based on the sideband components, (1 ± 2ks)fs, for broken rotor fault detection in induction machines. The wavelet-based method decomposes stator current signal into effective wavelet coefficients. It is shown that the root mean square (RMS) value of wavelet packet coefficients in special frequency bands collectively establishes a feature index. Once the broken rotor bar occurs, this index value increases to distinguish healthy and faulty mode of induction motor as well as fault severity. Additionally, we investigate the left sideband around the fundamental frequency (50Hz), (1 - 2s)fs, which specifically represents the stator current spectrum of the machine when a rotor bar breakage takes place. An induction motor with one and two bar breakage at 35%, 50% and 80% of full load are investigated. The experimental tests indicate good reliability of different frequency resolution for same frequency component. |
| first_indexed | 2025-11-15T09:53:08Z |
| format | Conference or Workshop Item |
| id | upm-41124 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:53:08Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-411242019-04-19T04:03:52Z http://psasir.upm.edu.my/id/eprint/41124/ Broken rotor bar detection of induction machine using wavelet packet coefficient-related features Zolfaghari, Sahar Mohd Noor, Samsul Bahari Mariun, Norman Marhaban, Mohammad Hamiruce Mehrjou, Mohammad Rezazadeh Karami, Mahdi Fault diagnosis of induction machine can be achieved through wavelet packet analysis to acquire information about its stability and mutability. This paper presents an experimental evaluation of applying wavelet packet transform based on the sideband components, (1 ± 2ks)fs, for broken rotor fault detection in induction machines. The wavelet-based method decomposes stator current signal into effective wavelet coefficients. It is shown that the root mean square (RMS) value of wavelet packet coefficients in special frequency bands collectively establishes a feature index. Once the broken rotor bar occurs, this index value increases to distinguish healthy and faulty mode of induction motor as well as fault severity. Additionally, we investigate the left sideband around the fundamental frequency (50Hz), (1 - 2s)fs, which specifically represents the stator current spectrum of the machine when a rotor bar breakage takes place. An induction motor with one and two bar breakage at 35%, 50% and 80% of full load are investigated. The experimental tests indicate good reliability of different frequency resolution for same frequency component. IEEE 2014 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/41124/1/Broken%20rotor%20bar%20detection%20of%20induction%20machine%20using%20wavelet%20packet%20coefficient-related%20features.pdf Zolfaghari, Sahar and Mohd Noor, Samsul Bahari and Mariun, Norman and Marhaban, Mohammad Hamiruce and Mehrjou, Mohammad Rezazadeh and Karami, Mahdi (2014) Broken rotor bar detection of induction machine using wavelet packet coefficient-related features. In: 2014 IEEE Student Conference on Research and Development (SCOReD), 16-17 Dec. 2014, Penang, Malaysia. . 10.1109/SCORED.2014.7072977 |
| spellingShingle | Zolfaghari, Sahar Mohd Noor, Samsul Bahari Mariun, Norman Marhaban, Mohammad Hamiruce Mehrjou, Mohammad Rezazadeh Karami, Mahdi Broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| title | Broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| title_full | Broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| title_fullStr | Broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| title_full_unstemmed | Broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| title_short | Broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| title_sort | broken rotor bar detection of induction machine using wavelet packet coefficient-related features |
| url | http://psasir.upm.edu.my/id/eprint/41124/ http://psasir.upm.edu.my/id/eprint/41124/ http://psasir.upm.edu.my/id/eprint/41124/1/Broken%20rotor%20bar%20detection%20of%20induction%20machine%20using%20wavelet%20packet%20coefficient-related%20features.pdf |