An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines
For economic and environmental reasons, the use of renewable energy sources is a key aspect of the ongoing transition to a sustainable industrialised society. Wind energy represents a major player among these natural, carbon-neutral sources. Nevertheless, wind turbines are often subject to mechanica...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/3/1059 |
| _version_ | 1797489431825874944 |
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| author | Marco Civera Cecilia Surace |
| author_facet | Marco Civera Cecilia Surace |
| author_sort | Marco Civera |
| collection | DOAJ |
| description | For economic and environmental reasons, the use of renewable energy sources is a key aspect of the ongoing transition to a sustainable industrialised society. Wind energy represents a major player among these natural, carbon-neutral sources. Nevertheless, wind turbines are often subject to mechanical faults, especially due to ageing. To alleviate Operation and Maintenance costs, Vibration-Based Inspection and Condition Monitoring have been proposed in recent times. This research proposes Instantaneous Spectral Entropy and Continuous Wavelet Transform for anomaly detection and fault diagnosis, departing from gearbox vibration time histories. The approach is validated on experimental data recorded from a turbine suffering bearing failure and total gearbox replacement. From a computational point of view, the proposed algorithm was found to be efficient and therefore even potentially applicable for real-time monitoring. |
| first_indexed | 2024-03-10T00:16:26Z |
| format | Article |
| id | doaj.art-e86f754f654d44caa32b6cddedead65c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:16:26Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-e86f754f654d44caa32b6cddedead65c2023-11-23T15:51:10ZengMDPI AGApplied Sciences2076-34172022-01-01123105910.3390/app12031059An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind TurbinesMarco Civera0Cecilia Surace1Department of Mechanical and Aerospace Engineering—DIMEAS, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Structural, Geotechnical and Building Engineering—DISEG, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyFor economic and environmental reasons, the use of renewable energy sources is a key aspect of the ongoing transition to a sustainable industrialised society. Wind energy represents a major player among these natural, carbon-neutral sources. Nevertheless, wind turbines are often subject to mechanical faults, especially due to ageing. To alleviate Operation and Maintenance costs, Vibration-Based Inspection and Condition Monitoring have been proposed in recent times. This research proposes Instantaneous Spectral Entropy and Continuous Wavelet Transform for anomaly detection and fault diagnosis, departing from gearbox vibration time histories. The approach is validated on experimental data recorded from a turbine suffering bearing failure and total gearbox replacement. From a computational point of view, the proposed algorithm was found to be efficient and therefore even potentially applicable for real-time monitoring.https://www.mdpi.com/2076-3417/12/3/1059structural health monitoringcondition monitoringfault detectionrotating machinerywind turbinesinstantaneous entropy |
| spellingShingle | Marco Civera Cecilia Surace An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines Applied Sciences structural health monitoring condition monitoring fault detection rotating machinery wind turbines instantaneous entropy |
| title | An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines |
| title_full | An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines |
| title_fullStr | An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines |
| title_full_unstemmed | An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines |
| title_short | An Application of Instantaneous Spectral Entropy for the Condition Monitoring of Wind Turbines |
| title_sort | application of instantaneous spectral entropy for the condition monitoring of wind turbines |
| topic | structural health monitoring condition monitoring fault detection rotating machinery wind turbines instantaneous entropy |
| url | https://www.mdpi.com/2076-3417/12/3/1059 |
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