Machine Tool Component Health Identification with Unsupervised Learning
Unforeseen machine tool component failures cause considerable losses. This study presents a new approach to unsupervised machine component condition identification. It uses test cycle data of machine components in healthy and various faulty conditions for modelling. The novelty in the approach consi...
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
MDPI AG
2020-09-01
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| سلاسل: | Journal of Manufacturing and Materials Processing |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2504-4494/4/3/86 |