Comparative Analysis of MFCC and Mel-Spectrogram Features in Pump Fault Detection Using Autoencoder
Pump maintenance plays a pivotal role in industrial operations, where timely detection of faults is key to avoiding costly downtimes. This research explores the influence of two audio feature extraction techniques, Mel-Frequency Cepstral Coefficients (MFCC) and Mel-spectrograms, on the effectiveness...
| Published in: | Proceedings - 2024 2nd International Conference on Computer Graphics and Image Processing, CGIP 2024 |
|---|---|
| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195138022&doi=10.1109%2fCGIP62525.2024.00030&partnerID=40&md5=1fc5cf69559c98b2c3ada8c7fb5819b2 |