Improved performance of gas turbine diagnostics using new noise‐removal techniques
Abstract Fault detection and identification (FDI) systems are responsible for detecting and identifying errors as fast as possible with high reliability. These systems should be robust against noise and avoid false warnings. Herein, the perspective of using wavelet filters for noise reduction in FDI...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12042 |
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