A comparative study of statistical machine learning methods for condition monitoring of electric drive trains in supply chains
Fault detection and identification are critical for the accurate maintenance and management of industrial machinery. In this regard, data-driven condition monitoring models play an important role in machinery fault diagnosis and management. This study investigates the applicability of various statis...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Supply Chain Analytics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949863523000109 |