Fault isolation and alarm design in non-linear stochastic systems
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[1] Iman Izadi,et al. Optimal Alarm Signal Processing: Filter Design and Performance Analysis , 2013, IEEE Transactions on Automation Science and Engineering.
[2] Iman Izadi,et al. Similarity Analysis of Industrial Alarm Flood Data , 2013, IEEE Transactions on Automation Science and Engineering.
[3] Panagiotis D. Christofides,et al. Enhancing Data-based Fault Isolation Through Nonlinear Control , 2008 .
[4] Paul M. Frank,et al. Analytical and Qualitative Model-based Fault Diagnosis - A Survey and Some New Results , 1996, Eur. J. Control.
[5] Iman Izadi,et al. Estimation of alarm chattering , 2011 .
[6] Jan Eric Larsson,et al. Alarm reduction in industrial process control , 2003, EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696).
[7] Sirish L. Shah,et al. Quantification of alarm chatter based on run length distributions , 2010, 49th IEEE Conference on Decision and Control (CDC).
[8] Venkat Venkatasubramanian,et al. PCA-SDG based process monitoring and fault diagnosis , 1999 .
[9] T. Harris. Assessment of Control Loop Performance , 1989 .
[10] Prashant Mhaskar,et al. A safe-parking framework for plant-wide fault-tolerant control , 2009 .
[11] J.-F. Magni,et al. On residual generation by observer and parity space approaches , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.
[12] Jie Chen,et al. Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.
[13] Jie Chen,et al. Review of parity space approaches to fault diagnosis for aerospace systems , 1994 .
[14] Venkat Venkatasubramanian,et al. Challenges in the industrial applications of fault diagnostic systems , 2000 .
[15] Paul M. Frank,et al. Fault diagnosis in dynamic systems: theory and application , 1989 .
[16] Iman Izadi,et al. On expected detection delays for alarm systems with deadbands and delay-timers , 2011 .
[17] Douglas H Rothenberg,et al. Alarm Management for Process Control: A Best-Practice Guide for Design, Implementation, and Use of Industrial Alarm Systems , 2009 .
[18] Sirish L. Shah,et al. A Framework for Optimal Design of Alarm Systems , 2009 .
[19] R. B. Gopaluni,et al. Fault Isolation based on General Observer Scheme in Stochastic Non-linear State-Space Models Using Particle Filters , 2014 .
[20] George C. Verghese,et al. Optimally robust redundancy relations for failure detection in uncertain systems , 1986, Autom..
[21] Michèle Basseville,et al. Detection of abrupt changes: theory and application , 1993 .
[22] Asok Ray,et al. A fault detection and isolation methodology , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
[23] Richard Dearden,et al. Particle Filters for Real-Time Fault Detection in Planetary Rovers , 2001 .
[24] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[25] George J. Vachtsevanos,et al. A Particle Filtering Approach for On-Line Failure Prognosis in a Planetary Carrier Plate , 2007, Int. J. Fuzzy Log. Intell. Syst..
[26] Pau-Lo Hsu,et al. Diagnosis of multiple sensor and actuator failures in automotive engines , 1995 .
[27] Naseeb Ahmed Adnan. Performance Assessment and Systematic Design of Industrial Alarm Systems , 2013 .
[28] Paul M. Frank,et al. Fuzzy logic and neural network applications to fault diagnosis , 1997, Int. J. Approx. Reason..
[29] P. Moral. Nonlinear filtering : Interacting particle resolution , 1997 .
[30] Rolf Isermann,et al. Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..
[31] S L Shah,et al. Improved correlation analysis and visualization of industrial alarm data. , 2012, ISA transactions.
[32] Visakan Kadirkamanathan,et al. Particle filtering-based fault detection in non-linear stochastic systems , 2002, Int. J. Syst. Sci..
[33] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[34] Halim Alwi,et al. Fault Tolerant Control and Fault Detection and Isolation , 2011 .
[35] Rolf Isermann,et al. Trends in the Application of Model Based Fault Detection and Diagnosis of Technical Processes , 1996 .
[36] Sriram Narasimhan,et al. Combining Particle Filters and Consistency-Based Approaches for Monitoring and Diagnosis of Stochastic Hybrid Systems , 2004 .
[37] Bin Jiang,et al. REDUCTION OF FALSE ALARMS IN FAULT DETECTION PROBLEMS , 2006 .
[38] Sirish L. Shah,et al. On the use of delay timers and latches for efficient alarm design , 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).
[39] R. B. Gopaluni,et al. Fault detection and isolation in stochastic non-linear state-space models using particle filters , 2012 .
[40] Jiandong Wang,et al. Averaged alarm delay and systematic design for alarm systems , 2010, 49th IEEE Conference on Decision and Control (CDC).
[41] Silvio Simani,et al. Model-based fault diagnosis in dynamic systems using identification techniques , 2003 .
[42] Frank Hutter,et al. Efficient On-line Fault Diagnosis for Non-Linear Systems , 2003 .
[43] P. Frank. On-line fault detection in uncertain nonlinear systems using diagnostic observers: a survey , 1994 .
[44] C. Baskiotis,et al. Parameter identification and discriminant analysis for jet engine machanical state diagnosis , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
[45] Alan S. Willsky,et al. A survey of design methods for failure detection in dynamic systems , 1976, Autom..
[46] V. Walton,et al. Detecting Instrument Malfunctions in Control Systems , 1975, IEEE Transactions on Aerospace and Electronic Systems.
[47] Steven X. Ding,et al. Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .
[48] S. Fabri,et al. A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).
[49] G.T. Heydt,et al. A Next Generation Alarm Processing Algorithm Incorporating Recommendations and Decisions on Wide Area Control , 2007, 2007 IEEE Power Engineering Society General Meeting.
[50] Marcin Witczak. Identification and Fault Detection of Non-Linear Dynamic Systems , 2003 .
[51] Lambert Spaanenburg,et al. Rule-based reduction of alarm signals in industrial control , 2003, J. Intell. Fuzzy Syst..
[52] Tongwen Chen,et al. An online method to remove chattering and repeating alarms based on alarm durations and intervals , 2014, Comput. Chem. Eng..
[53] Panagiotis D. Christofides,et al. Fault-tolerant control of a polyethylene reactor , 2007 .
[54] Iman Izadi,et al. On optimal alarm filter design , 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).
[55] Sirish L. Shah,et al. Good, bad or optimal? Performance assessment of multivariable processes , 1997, Autom..
[56] A. Willsky,et al. Analytical redundancy and the design of robust failure detection systems , 1984 .
[57] I. Nimmo,et al. Adequately address abnormal operations , 1995 .
[58] R. Bhushan Gopaluni,et al. Nonlinear system identification under missing observations: The case of unknown model structure , 2010 .
[59] Tao Jiang,et al. Parameter Estimation-Based Fault Detection, Isolation and Recovery for Nonlinear Satellite Models , 2008, IEEE Transactions on Control Systems Technology.
[60] Iman Izadi,et al. Study of generalized delay-timers in alarm configuration , 2013 .
[61] Andrew Blake,et al. A Probabilistic Exclusion Principle for Tracking Multiple Objects , 2000, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[62] G.J. Vachtsevanos,et al. A particle filtering-based framework for real-time fault diagnosis and failure prognosis in a turbine engine , 2007, 2007 Mediterranean Conference on Control & Automation.
[63] Visakan Kadirkamanathan,et al. Fault detection and isolation in non-linear stochastic systems—A combined adaptive Monte Carlo filtering and likelihood ratio approach , 2004 .
[64] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..
[65] Janos Gertler,et al. Fault detection and diagnosis in engineering systems , 1998 .
[66] R. Kohn,et al. Diagnostics for Time Series Analysis , 1999 .
[67] P. Fearnhead,et al. An improved particle filter for non-linear problems , 1999 .
[68] Stuart J. Russell,et al. Stochastic simulation algorithms for dynamic probabilistic networks , 1995, UAI.
[69] Gary J. Balas,et al. Performance analysis of fault detection systems based on analytically redundant linear time-invariant dynamics , 2011, Proceedings of the 2011 American Control Conference.
[70] Ian K. Craig,et al. Economic assessment of advanced process control – A survey and framework , 2008 .
[71] E. Eryurek,et al. Abnormal situation prevention through smart field devices , 2006 .
[72] Feng Zhao,et al. Monitoring and Diagnosis of Hybrid Systems Using Particle Filtering Methods , 2002 .
[73] Sirish L. Shah,et al. An Introduction to Alarm Analysis and Design , 2009 .
[74] G Rizzoni,et al. Nonlinear parity equation based residual generation for diagnosis of automotive engine faults , 1995 .
[75] J.-F. Magni,et al. On continuous-time parameter identification by using observers , 1995, IEEE Trans. Autom. Control..
[76] B. Vogel-Heuser,et al. Computing dependent industrial alarms for alarm flood reduction , 2012, International Multi-Conference on Systems, Sygnals & Devices.
[77] R. B. Gopaluni. A particle filter approach to identification of nonlinear processes under missing observations , 2008 .
[78] E. L. Cochran,et al. Abnormal Situation Management in petrochemical plants: can a Pilot's Associate crack crude? , 1996, Proceedings of the IEEE 1996 National Aerospace and Electronics Conference NAECON 1996.
[79] P. Moral,et al. Interacting particle systems approximations of the Kushner-Stratonovitch equation , 1999, Advances in Applied Probability.
[80] Lennart Ljung,et al. System identification (2nd ed.): theory for the user , 1999 .
[81] Leonardo C. Kammer,et al. Semi-intrusive multivariable model invalidation , 2001 .
[82] George J. Vachtsevanos,et al. A particle-filtering approach for on-line fault diagnosis and failure prognosis , 2009 .
[83] Wen Chen,et al. Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems , 2007 .
[84] Sigurd Skogestad,et al. Identification of Ill-conditioned plants — A benchmark problem , 1994 .
[85] P. Frank,et al. Deterministic nonlinear observer-based approaches to fault diagnosis: A survey , 1997 .
[86] P. McLellan,et al. Effects of operating conditions on stability of gas‐phase polyethylene reactors , 1995 .
[87] Steven X. Ding,et al. Model-based fault diagnosis in technical processes , 2000 .
[88] Ron J. Patton,et al. Fault-Tolerant Control: The 1997 Situation , 1997 .
[89] Enrico Zio,et al. Monte Carlo simulation for model-based fault diagnosis in dynamic systems , 2009, Reliab. Eng. Syst. Saf..
[90] M. Rosenblatt. Remarks on a Multivariate Transformation , 1952 .
[91] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[92] Sing Kiong Nguang,et al. Parity based fault estimation for nonlinear systems: an LMI approach , 2006, 2006 American Control Conference.
[93] H. S. Fogler,et al. Elements of Chemical Reaction Engineering , 1986 .
[94] S. Thrun,et al. Tractable Particle Filters for Robot Fault Diagnosis , 2004 .
[95] Songjiao Shi,et al. A novel distributed approach to robust fault detection and identification , 2008 .
[96] Rolf Isermann,et al. Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems , 2011 .
[97] M. L. Bell,et al. Temperature control of industrial gas phase polyethylene reactors , 1997 .
[98] Christophe Andrieu,et al. Particle methods for change detection, system identification, and control , 2004, Proceedings of the IEEE.
[99] Iman Izadi,et al. A study on the relation between alarm deadbands and optimal alarm limits , 2011, Proceedings of the 2011 American Control Conference.
[100] Iman Izadi,et al. Performance Assessment and Design for Univariate Alarm Systems Based on FAR, MAR, and AAD , 2012, IEEE Transactions on Automation Science and Engineering.
[101] Gautam Biswas,et al. Comprehensive Diagnosis of Continuous Systems Using Dynamic Bayes Nets , 2008 .
[102] Paul M. Frank,et al. Issues of Fault Diagnosis for Dynamic Systems , 2010, Springer London.
[103] Marcin Witczak. Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches , 2007 .
[104] R. B. Gopaluni,et al. An algorithm for fault detection in stochastic non-linear state-space models using particle filters , 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).
[105] Sirish L. Shah,et al. Effective resource utilization for Alarm Management , 2010, 49th IEEE Conference on Decision and Control (CDC).
[106] Tongwen Chen,et al. An online method for detection and reduction of chattering alarms due to oscillation , 2013, Comput. Chem. Eng..
[107] Khashayar Khorasani,et al. Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach , 2009 .