SIMULATION-DRIVEN DEEP CLASSIFICATION OF BEARING FAULTS FROM RAW VIBRATION DATA
The industry is moving towards maintenance strategies that consider component health, which require extensive collection and analysis of data. Condition monitoring methods that require manual feature extraction and analysis, become infeasible on an industrial scale. Machine learning algorithms can b...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2019-12-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: |