| Status | 已發表Published |
| A Smart Automated-System for Detection of Abnormal Machine Situation | |
Li, S. Y.; Chan, F. C.; Chen, C. S.; Tam, L. M. 
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| 2019-08-01 | |
| Source Publication | Proceedings of 2019 International Conference on Advanced Robotics and Intelligent System
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| Abstract | A smart automated-system for detection of abnormal machine situations is developed, through properly parameters adjusting and autonomous optimization of feature values, different and obvious key-features can be obtained for each of distinct machine situations, which are clear as well as unique to their original signals properties. Finally, simple criteria can be further defined for states classifications. |
| Keyword | Chaos Smart System Fault Detection |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 47307 |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF ELECTROMECHANICAL ENGINEERING |
| Corresponding Author | Tam, L. M. |
| Recommended Citation GB/T 7714 | Li, S. Y.,Chan, F. C.,Chen, C. S.,et al. A Smart Automated-System for Detection of Abnormal Machine Situation[C], 2019. |
| APA | Li, S. Y.., Chan, F. C.., Chen, C. S.., & Tam, L. M. (2019). A Smart Automated-System for Detection of Abnormal Machine Situation. Proceedings of 2019 International Conference on Advanced Robotics and Intelligent System. |
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