Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties
| Auteur(s): |
Haixin Zhao
(State Key Laboratory of Structural Analysis for Industrial Equipment, Provincial Key Laboratory of Digital Twin for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, China)
Xiaomo Jiang 
(State Key Laboratory of Structural Analysis for Industrial Equipment, Provincial Key Laboratory of Digital Twin for Industrial Equipment, School of Energy and Power Engineering, Dalian University of Technology, Dalian, China)
Bo Wang (State Key Laboratory of Structural Analysis for Industrial Equipment, Provincial Key Laboratory of Digital Twin for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, China) Xueyu Cheng (Department of Interdisciplinary Studies, Clayton State University, Morrow, GA, USA) Shengli Xu (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering University, Dalian University of Technology, Dalian, China) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, septembre 2022, n. 3, v. 22 |
| Page(s): | 147592172211172 |
| DOI: | 10.1177/14759217221117277 |
- Informations
sur cette fiche - Reference-ID
10693522 - Publié(e) le:
23.09.2022 - Modifié(e) le:
30.05.2023
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