Diseño basado en diagnóstico de fallos y sistemas híbridos aplicado en un equipo de desfibrilación ventricular Design based on fault diagnosis and hybrid systems applied to a ventricular defibrillator device

This article presents a proposal of procedure to incorporate the fault diagnosis from the design phase of ventricular defibrillation equipment. This solves a set of constraints that are currently present in the design of electronic systems. The proposed procedure uses the concept of diagnosis-based design, the technique of composition of hybrid automata modeling and diagnosis based on expert knowledge. Finally the system is designed with the fault diagnostic system incorporated. The procedure can be extended to other types of systems.

[1]  Gerard J. Holzmann,et al.  The Model Checker SPIN , 1997, IEEE Trans. Software Eng..

[2]  Won Y. Lee,et al.  Classification Techniques for Fault Detection and Diagnosis of an Air-Handling Unit | NIST , 1999 .

[3]  Junghui Chen,et al.  On-line batch process monitoring using dynamic PCA and dynamic PLS models , 2002 .

[4]  W. Y. Lee,et al.  Fault diagnosis and temperature sensor recovery for an air-handling unit , 1997 .

[5]  Eugene Charniak,et al.  Bayesian Networks without Tears , 1991, AI Mag..

[6]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[7]  Rolf Isermann,et al.  Trends in the Application of Model Based Fault Detection and Diagnosis of Technical Processes , 1996 .

[8]  Thomas A. Henzinger,et al.  The theory of hybrid automata , 1996, Proceedings 11th Annual IEEE Symposium on Logic in Computer Science.

[9]  Tore Undeland,et al.  Power Electronics: Converters, Applications and Design , 1989 .

[10]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..

[11]  H. Balakrishnan,et al.  State estimation for hybrid systems: applications to aircraft tracking , 2006 .

[12]  Shian-Shyong Tseng,et al.  A novel manufacturing defect detection method using association rule mining techniques , 2005, Expert Syst. Appl..

[13]  Bo-Suk Yang,et al.  VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table , 2005, Expert Syst. Appl..

[14]  Peter L. Lee,et al.  An integrated neural network/expert system approach for fault diagnosis , 1993 .

[15]  Heikki N. Koivo,et al.  Application of artificial neural networks in process fault diagnosis , 1991, Autom..

[16]  Rolf Isermann,et al.  Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..

[17]  Junghui Chen,et al.  Dynamic process fault monitoring based on neural network and PCA , 2002 .

[18]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[19]  John Lygeros,et al.  Verified hybrid controllers for automated vehicles , 1998, IEEE Trans. Autom. Control..

[20]  M. Sam Mannan,et al.  Process monitoring based on classification tree and discriminant analysis , 2006, Reliab. Eng. Syst. Saf..

[21]  B. Bakshi Multiscale PCA with application to multivariate statistical process monitoring , 1998 .

[22]  Rolf Isermann,et al.  Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..

[23]  Angelo Alessandri Fault diagnosis for nonlinear systems using a bank of neural estimators , 2003, Comput. Ind..

[24]  Jan Dimon Bendtsen,et al.  Hybrid Control Design for a Wheeled Mobile Robot , 2003, HSCC.

[25]  Alain Dussauchoy,et al.  Knowledge discovery from industrial databases , 2004, J. Intell. Manuf..

[26]  Feng Zhao,et al.  Fault modeling for monitoring and diagnosis of sensor-rich hybrid systems , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[27]  Rajeev Alur,et al.  Timed Automata , 1999, CAV.

[28]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[29]  Bruce H. Krogh,et al.  Recent advances in discrete analysis and control of hybrid systems , 2002, Sixth International Workshop on Discrete Event Systems, 2002. Proceedings..

[30]  Carl-Fredrik Mandenius,et al.  Applying process monitoring with multivariate analysis through a knowledge-based systems approach to a paperboard machine , 2005, Comput. Ind..

[31]  Jie Chen,et al.  Observer-based fault detection and isolation: robustness and applications , 1997 .

[32]  R. C. de Vries An automated methodology for generating a fault tree , 1990 .

[33]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[34]  C. Pinello,et al.  Automotive engine control and hybrid systems: challenges and opportunities , 2000, Proceedings of the IEEE.

[35]  J. Gertler Fault detection and isolation using parity relations , 1997 .