Optimal sensor location design for reliable fault detection in presence of false alarms

Sensors

Volumn 9, Issue 11, 2009, Pages 8579-8592

  Yang, Fan ^a   Xiao, Deyun ^a   Shah, Sirish L ^b  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Directed graph; False alarm; Fault detection; Missed alarm; Reliability

Indexed keywords

FALSE ALARM PROBABILITY; FALSE ALARMS; HEURISTIC PROCEDURES; MISSED ALARM; OPTIMAL SENSOR LOCATIONS; OPTIMIZATION CRITERIA; OPTIMIZATION PROBLEMS; RELIABILITY CRITERION;

ALARM SYSTEMS; DIRECTED GRAPHS; ERRORS; HEURISTIC METHODS; OPTIMIZATION; RELIABILITY; SENSORS;

FAULT DETECTION;

EID: 70849118829     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s91108579     Document Type: Article

References (15)

1. Kawabata, K.; Tateno, S.; Tsuge, Y.; Matsuyama, H. Optimal design of a diagnosis system for faulty sensors. J. Chem. Eng. Jpn. 1996, 22, 1084-1092 (in Japanese).
2. Raghuraj, R.; Bhushan, M.; Rengaswamy, R. Locating sensors in complex chemical plants based on fault diagnostic observability criteria. AICHE J. 1999, 45, 310-322.
3. Fawcett, T. An introduction to ROC analysis. Pattern Recognition Lett. 2006, 27, 861-874.
4. Izadi, I.; Shah, S.L.; Kondaveeti, S.; Chen, T. A framework for optimal design of alarm systems. In Proceedings of 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain, July 2009; pp. 651-656.
5. Patwardhan, S.; Prakash, J.; Shah, S.L. Soft sensing and state estimation: Review and recent trends. In Proceedings of IFAC Conference on Cost Effective Automation in Networked Product Development and Manufacturing, Monterrey, Mexico, October 2007.
6. Yang, F.; Xiao, D. Sensor location strategy in large-scale systems for fault detection applications. J. Comput. 2008, 3, 51-57.
7. Bhushan, M.; Rengaswamy, R. Comprehensive design of a sensor network for chemical plants based on various diagnosability and reliability criteria. 1. Framework. Ind. Eng. Chem. Res. 2002, 41, 1826-1839.
8. Bhushan, M.; Narasimhan, S.; Rengaswamy, R. Robust sensor network design for fault diagnosis. Comput. Chem. Eng. 2008, 32, 1067-1084.
9. Wilcox, N.A.; Himmelblau, D.M. The possible cause and effect graphs (PCEG) model for fault diagnosis-I. Methodology. Comput. Chem. Eng. 1994, 18, 103-116.
10. Iri, M.; Aoki, K.; O'shima, E.; Matsuyama, H. An algorithm for diagnosis of system failures in the chemical process. Comput. Chem. Eng. 1979, 3, 489-493.
11. Yang, F.; Xiao, D. Review of SDG modeling and its application. Contr. Theory Appl. 2005, 22, 767-774.
12. Mah, R. Chemical Process Structures and Information Flows; Butterworth Publishers: London, UK, 1990.
13. Yang, F. Research on Dynamic Description and Inference Approaches in SDG Model-Based Fault Analysis. Ph.D. Dissertation, Tsinghua University: Beijing, China, 2008.
14. Wu, C. Modeling and simulation of 65t/h steam boiler for operation analysis. Boiler Technol. 2002, 33, 1-6.
15. Yang, F.; Xiao, D. Approach of building qualitative SDG model in large-scale complex systems. Contr. Instrum. Chem. Ind. 2005, 32, 8-11.