Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based Approach
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- An, Dawn & Kim, Nam H. & Choi, Joo-Ho, 2015. "Practical options for selecting data-driven or physics-based prognostics algorithms with reviews," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 223-236.
- Uday, Payuna & Chandrahasa, Rakshit & Marais, Karen, 2019. "System Importance Measures: Definitions and Application to System-of-Systems Analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
- Yasamin Eslami & Michele Dassisti & Mario Lezoche & Hervé Panetto, 2019. "A survey on sustainability in manufacturing organisations: dimensions and future insights," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 5194-5214, August.
- Nannan Wang & Minxun Ma & Yunfei Liu, 2020. "The Whole Lifecycle Management Efficiency of the Public Sector in PPP Infrastructure Projects," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
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- Abdellatif Elmouatamid & Brian Fricke & Jian Sun & Philip W. T. Pong, 2023. "Air Conditioning Systems Fault Detection and Diagnosis-Based Sensing and Data-Driven Approaches," Energies, MDPI, vol. 16(12), pages 1-20, June.
- Prashant Kumar & Salman Khalid & Heung Soo Kim, 2023. "Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review," Mathematics, MDPI, vol. 11(13), pages 1-37, July.
- Samuel Boahen & Kwesi Mensah & Selorm Kwaku Anka & Kwang Ho Lee & Jong Min Choi, 2021. "Fault Detection Algorithm for Multiple-Simultaneous Refrigerant Charge and Secondary Fluid Flow Rate Faults in Heat Pumps," Energies, MDPI, vol. 14(13), pages 1-19, June.
- Ruiqi Tian & Santiago Gomez-Rosero & Miriam A. M. Capretz, 2023. "Health Prognostics Classification with Autoencoders for Predictive Maintenance of HVAC Systems," Energies, MDPI, vol. 16(20), pages 1-21, October.
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Keywords
fault detection; fault modelling; hybrid modelling; predictive maintenance; railway; HVAC systems; synthetic data; soft sensing;All these keywords.
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