Bearing fault detection and classification using spectrogram and scalogram features with deep learning models
| dc.contributor.author | Gurjar, Shiva | |
| dc.date.accessioned | 2024-09-23T05:43:51Z | |
| dc.date.available | 2024-09-23T05:43:51Z | |
| dc.date.issued | 2024-05 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/3709 | |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Institute of Technology (Indian School of Mines) Dhanbad | en_US |
| dc.subject | Short-time Fourier transform (STFT) | en_US |
| dc.subject | Case Western Reserve University (CWRU) | en_US |
| dc.subject | EvoRes | en_US |
| dc.subject | DIST | en_US |
| dc.subject | DS1358 | en_US |
| dc.subject | MECH | en_US |
| dc.title | Bearing fault detection and classification using spectrogram and scalogram features with deep learning models | en_US |
| dc.type | Thesis | en_US |
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