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Keywords: convolutional neural network denoising auto-encoders
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Journal Articles

Convolutional Neural Network Denoising Auto-Encoders for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering

Junjie Zhao, Yi-Guang Li, Suresh Sampath
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. June 2023, 145(6): 061013.
Paper No: GTP-22-1234
https://doi.org/10.1115/1.4056128
Published Online: February 6, 2023
... series and cannot effectively capture important changes or are limited by the time delay problem. This paper proposes a convolutional neural network denoising auto-encoder (CNN-DAE) method to build a denoising auto-encoder structure. In this structure, a convolutional operation is used to accommodate...
View Article titled, <span class="search-highlight">Convolutional</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> <span class="search-highlight">Denoising</span> <span class="search-highlight">Auto</span>-<span class="search-highlight">Encoders</span> for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering
Open the PDF for <span class="search-highlight">Convolutional</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> <span class="search-highlight">Denoising</span> <span class="search-highlight">Auto</span>-<span class="search-highlight">Encoders</span> for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering in another window
Topics: Artificial neural networks, Filtration, Noise (Sound), Signals, Aircraft engines, Engines, Flight, Time series