A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities
<p dir="ltr">The complexity of improving controllers for Active Magnetic Bearing Systems (AMBs), which are essential parts of fast electronic transport networks such as electric cars, aviation technology, and defense systems is examined in this research work. It evaluates AMBs’ robus...
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| مؤلفون آخرون: | , , |
| منشور في: |
2024
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| _version_ | 1864513539401580544 |
|---|---|
| author | Debarghya Dutta (22282726) |
| author2 | Pabitra Kumar Biswas (22282729) Sukanta Debnath (22282732) Furkan Ahmad (709809) |
| author2_role | author author author |
| author_facet | Debarghya Dutta (22282726) Pabitra Kumar Biswas (22282729) Sukanta Debnath (22282732) Furkan Ahmad (709809) |
| author_role | author |
| dc.creator.none.fl_str_mv | Debarghya Dutta (22282726) Pabitra Kumar Biswas (22282729) Sukanta Debnath (22282732) Furkan Ahmad (709809) |
| dc.date.none.fl_str_mv | 2024-12-31T12:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3515261 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Wavelet-Based_Analysis_for_Monitoring_Controller_Reliability_in_Active_Magnetic_Bearing_With_Rotor_Eccentricities/30173419 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Mechanical engineering Active magnetic bearing control theory controller signal processing vibration wavelet transform Rotors Wavelet transforms Coils Magnetic levitation Harmonic analysis Wavelet analysis Air gaps Vibrations Control systems Fault diagnosis |
| dc.title.none.fl_str_mv | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The complexity of improving controllers for Active Magnetic Bearing Systems (AMBs), which are essential parts of fast electronic transport networks such as electric cars, aviation technology, and defense systems is examined in this research work. It evaluates AMBs’ robustness against abrupt harmonic disruptions using wavelet transform methodologies. Initially, predictive-based interpolation equations are used to create system controller matrices that forecast controlling gains for various eccentric rotor behaviors. Steady functioning is ensured by the non-linear AMB system’s assumed linearity inside this range. Furthermore, system dynamics are assessed about probable external defects by creating a modeled harmonic signal and using wavelet transformations in continuous and discrete realms. The reliability of the assessment method is highlighted by the low 1.15% variance across the original and recovered force signals at high rotor eccentricity, which is supported by suitable scalability and wavelet selection based on Fisher’s criterion. The computational findings provide insights and enhance the understanding of regulating the fluctuating actions of AMBs through these thorough investigations, stimulating improved reliability and effectiveness in an array of applications.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3515261" target="_blank">https://dx.doi.org/10.1109/access.2024.3515261</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_b46417c61dc0ecd1a6a2469c4efb0d7c |
| identifier_str_mv | 10.1109/access.2024.3515261 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30173419 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor EccentricitiesDebarghya Dutta (22282726)Pabitra Kumar Biswas (22282729)Sukanta Debnath (22282732)Furkan Ahmad (709809)EngineeringElectrical engineeringMechanical engineeringActive magnetic bearingcontrol theorycontrollersignal processingvibrationwavelet transformRotorsWavelet transformsCoilsMagnetic levitationHarmonic analysisWavelet analysisAir gapsVibrationsControl systemsFault diagnosis<p dir="ltr">The complexity of improving controllers for Active Magnetic Bearing Systems (AMBs), which are essential parts of fast electronic transport networks such as electric cars, aviation technology, and defense systems is examined in this research work. It evaluates AMBs’ robustness against abrupt harmonic disruptions using wavelet transform methodologies. Initially, predictive-based interpolation equations are used to create system controller matrices that forecast controlling gains for various eccentric rotor behaviors. Steady functioning is ensured by the non-linear AMB system’s assumed linearity inside this range. Furthermore, system dynamics are assessed about probable external defects by creating a modeled harmonic signal and using wavelet transformations in continuous and discrete realms. The reliability of the assessment method is highlighted by the low 1.15% variance across the original and recovered force signals at high rotor eccentricity, which is supported by suitable scalability and wavelet selection based on Fisher’s criterion. The computational findings provide insights and enhance the understanding of regulating the fluctuating actions of AMBs through these thorough investigations, stimulating improved reliability and effectiveness in an array of applications.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3515261" target="_blank">https://dx.doi.org/10.1109/access.2024.3515261</a></p>2024-12-31T12:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3515261https://figshare.com/articles/journal_contribution/A_Wavelet-Based_Analysis_for_Monitoring_Controller_Reliability_in_Active_Magnetic_Bearing_With_Rotor_Eccentricities/30173419CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301734192024-12-31T12:00:00Z |
| spellingShingle | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities Debarghya Dutta (22282726) Engineering Electrical engineering Mechanical engineering Active magnetic bearing control theory controller signal processing vibration wavelet transform Rotors Wavelet transforms Coils Magnetic levitation Harmonic analysis Wavelet analysis Air gaps Vibrations Control systems Fault diagnosis |
| status_str | publishedVersion |
| title | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| title_full | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| title_fullStr | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| title_full_unstemmed | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| title_short | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| title_sort | A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities |
| topic | Engineering Electrical engineering Mechanical engineering Active magnetic bearing control theory controller signal processing vibration wavelet transform Rotors Wavelet transforms Coils Magnetic levitation Harmonic analysis Wavelet analysis Air gaps Vibrations Control systems Fault diagnosis |