Energy-based fault detection for an autothermal reformer
暂无分享,去创建一个
[1] G. van Schoor,et al. Fault diagnosis of generation IV nuclear HTGR components – Part II: The area error enthalpy–entropy graph approach , 2012 .
[2] Janos Gertler,et al. Fault detection and diagnosis in engineering systems , 1998 .
[3] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..
[4] Peter Tavner,et al. Condition Monitoring for Device Reliability in Power Electronic Converters: A Review , 2010, IEEE Transactions on Power Electronics.
[5] G. van Schoor,et al. Enthalpy–entropy graph approach for the classification of faults in the main power system of a closed Brayton cycle HTGR , 2009 .
[6] Sigurd Skogestad,et al. A Natural Gas to Liquids Process Model for Optimal Operation , 2012 .
[7] Douglas C. White. Save Energy . Through Automation , 2010 .
[8] Samuel H. Huang,et al. System health monitoring and prognostics — a review of current paradigms and practices , 2006 .
[9] S. Chan,et al. Transient performance of an autothermal reformer—A 2-D modeling approach , 2005 .
[10] M. Chandrashekar,et al. Models of large-scale industrial energy systems—II , 1984 .
[11] G. van Schoor,et al. Fault diagnosis of generation IV nuclear HTGR components – Part I: The error enthalpy–entropy graph approach , 2012 .
[12] Daming Lin,et al. A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .
[13] Ying Peng,et al. Current status of machine prognostics in condition-based maintenance: a review , 2010 .
[14] Kaj Juslin,et al. A companion model approach to modelling and simulation of industrial processes , 2005 .