Engine Misfire Detection with Pervasive Mobile Audio
We address the problem of detecting whether an engine is misfiring by using machine learning techniques on transformed audio data collected from a smartphone. We recorded audio samples in an uncontrolled environment and extracted Fourier, Wavelet and Mel-frequency Cepstrum features from normal and a...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Springer International Publishing
2018
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| Online Access: | http://hdl.handle.net/1721.1/117389 https://orcid.org/0000-0002-5540-7401 https://orcid.org/0000-0003-1038-7598 https://orcid.org/0000-0003-2812-039X |