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  • Search: subject:"Fault detection and diagnosis"
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Year of publication
Subject
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Fault detection and diagnosis 5 Centrifugal casting 2 Monitoring statistic 2 Partial least squares regression 2 Process monitoring 2 Air-handling unit 1 Bayesian network 1 Bayesian updating 1 Chiller plant faults 1 Condition monitoring 1 Control 1 Energy management 1 HVAC systems 1 Hotel industry 1 Hotellerie 1 Hotelling T 2 control chart 1 Hotelling T2 control chart 1 Kontrolle 1 Machine learning 1 Maintenance management 1 Partial least squares 1 Partielle kleinste Quadrate 1 Quality management 1 Qualitätsmanagement 1 Social class 1 Soziale Schicht 1 Statistical quality control 1 Statistical theory 1 Statistische Methodenlehre 1 Statistische Qualitätskontrolle 1 Theorie 1 Theory 1 Unscented Kalman filtering 1 Wind turbines 1 ageing 1 fault detection and diagnosis 1 generator 1 lumped parameter network 1 thermal analysis 1 wind turbine 1
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Online availability
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Undetermined 5 Free 1
Type of publication
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Article 6
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 case-report 1
Language
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Undetermined 4 English 2
Author
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Das, Anupam 2 Maiti, J. 2 Mondal, S. C. 2 Sohn, Michael D. 2 Thakkar, J. J. 2 Auslander, David M. 1 Bartlett, Peter L. 1 Bonvini, Marco 1 Cao, Mengnan 1 Feng, Yanhui 1 Granderson, Jessica 1 Haves, Philip 1 Infield, David 1 María, Jesús 1 Márquez, García 1 Najafi, Massieh 1 Papaelias, Mayorkinos 1 Pedro, Fausto 1 Piette, Mary Ann 1 Pérez, Pinar 1 Qiu, Yingning 1 Tobias, Andrew Mark 1 Wetter, Michael 1 Zhang, Wenxiu 1
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Published in...
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Applied Energy 2 Energies 1 International Journal of Quality & Reliability Management 1 International journal of quality & reliability management 1 Renewable Energy 1
Source
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RePEc 4 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 6 of 6
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An Electro-Thermal Analysis of a Variable-Speed Doubly-Fed Induction Generator in a Wind Turbine
Qiu, Yingning; Zhang, Wenxiu; Cao, Mengnan; Feng, Yanhui; … - In: Energies 8 (2015) 5, pp. 3386-3402
This paper focuses on the electro-thermal analysis of a doubly-fed induction generator (DFIG) in a wind turbine (WT) with gear transmission configuration. The study of the thermal mechanism plays an important role in the development of cost-effective fault diagnostic techniques, design for...
Persistent link: https://www.econbiz.de/10011265956
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A methodology for modeling and monitoring of centrifugal casting process
Das, Anupam; Mondal, S. C.; Thakkar, J. J.; Maiti, J. - In: International Journal of Quality & Reliability Management 32 (2015) 7, pp. 718-735
Purpose – The purpose of this paper is to build a monitoring scheme in order to detect and subsequently eliminate abnormal behavior of the concerned casting process so as to produce worm wheels with good quality characteristics. Design/methodology/approach – In this a study, a process...
Persistent link: https://www.econbiz.de/10014801919
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A methodology for modeling and monitoring of centrifugal casting process
Das, Anupam; Mondal, S. C.; Thakkar, J. J.; Maiti, J. - In: International journal of quality & reliability management 32 (2015) 7, pp. 718-735
Persistent link: https://www.econbiz.de/10011442179
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Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques
Bonvini, Marco; Sohn, Michael D.; Granderson, Jessica; … - In: Applied Energy 124 (2014) C, pp. 156-166
fault detection and diagnosis (FDD). The algorithm is able to provide reliable estimation of multiple and simultaneous fault …
Persistent link: https://www.econbiz.de/10010789850
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Condition monitoring of wind turbines: Techniques and methods
Márquez, García; Pedro, Fausto; Tobias, Andrew Mark; … - In: Renewable Energy 46 (2012) C, pp. 169-178
Wind Turbines (WT) are one of the fastest growing sources of power production in the world today and there is a constant need to reduce the costs of operating and maintaining them. Condition monitoring (CM) is a tool commonly employed for the early detection of faults/failures so as to minimise...
Persistent link: https://www.econbiz.de/10011044303
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Application of machine learning in the fault diagnostics of air handling units
Najafi, Massieh; Auslander, David M.; Bartlett, Peter L.; … - In: Applied Energy 96 (2012) C, pp. 347-358
An air handling unit’s energy usage can vary from the original design as components fail or fault – dampers leak or fail to open/close, valves get stuck, and so on. Such problems do not necessarily result in occupant complaints and, consequently, are not even recognized to have occurred. In...
Persistent link: https://www.econbiz.de/10010702521
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