Fault Diagnosis Method for Wind Turbine Blades Through the Integration of Mel-Frequency Cepstral Coefficients and Intrinsic Energy Ratio
This paper presents a fault diagnosis method based on Mel-frequency cepstral coefficients (MFCC) and intrinsic energy ratio (IER) to improve efficiency in feature extraction from audio signals for diagnosing faults in wind turbine blades. This methods begins by extracting MFCCs and IERs from audio s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2025-02-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.01.006 |
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