Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2011-08-30
2011-08-30
Rivas, Omar Fernandez (Department: 2122)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
Reexamination Certificate
active
08010475
ABSTRACT:
An on-line fault detection and avoidance method is provided for industrial control systems that include multiple interacting process controllers. The method addresses the problem that not all faults can be determined and removed at the time of system design and testing. When a fault translates into a time-out condition in one or more controllers, symptoms are identified, persistence is measured, other involved controllers are identified, the fault condition is identified and control laws are reconfigured to avoid the fault condition in the future.
REFERENCES:
patent: 6751619 (2004-06-01), Rowstron et al.
patent: 1 022 631 (2000-07-01), None
patent: 02/071360 (2002-09-01), None
patent: 02/099550 (2002-12-01), None
‘Analysis of hierarchical control architectures: a petri net approach’: Jafari, 1991, IEEE, ch2969-4/91/0000/2536, pp. 2536-2541.
‘Diagnosis of sensor and actuator faults of a class of hybrid systems based on semi-qualitative method’: Zhao, 2004, IEEE, 0-7803-8273-0/04, pp. 1771-1774.
‘Monitoring and fault detection in shop floor using tiem petri nets’: Srinivasan, 1991, IEEE, 0-7803-0233-8/91, pp. 355-360.
‘A tasking deadlock detector for Ada programs’: Cheng, 1991, IEEE, 0730/3157/91/0000/0056, pp. 56-63.
Chen et al., “Pinpoint: Problem Determination in Large, Dynamic, Internet Services”, Proc. of Int'l Conf. on Dependable Systems and Networks (IPDS Track), 2002.
Lapp et al., “Computer-aided Synthesis of Fault Trees”, IEEE Transaction of Reliability Engineering, vol. 26, No. 1, pp. 2-13, Apr. 1977.
De Vries, “An Automated Methodology for Generating a Fault Tree”, IEEE Transaction of Reliability, vol. 39, pp. 76-86, 1990.
Sethi, “Probabilistic Fault Diagnosis in Communication Systems Through Incremental Hypothesis Updating”, Computer Networks 45, 2004.
Zhao et al., “A Failure/Fault Diagnoser Model for Autonomous Agents Under Presence of Disturbances”, IEEE International Conference on Systems, Man, and Cybernetics, 2006.
Leveson, “A Systems-Theoretic Approach to Safety in Software—Intensive Systems”, IEEE Trans. on Dependable and Secure Computing, 2005.
Pinzon et al., “A Comparative Study of Synthesis Methods for Discrete Event Controllers”, Journal of Formal Methods in System Design, vol. 15, No. 2, 1999.
Pencole, “Decentralized diagnoser approach: Application to telecommunication network”, Proc. of Dx 2000, Eleventh International Workshop on Principles of Diagnosis, pp. 185-193, Jun. 2000.
Karp, “Autonomic Computing”, 2002, http://www
wfusion.com
ewsletters/stor/2002/01573948.html.
Mutchell et al., “A Distributed Algorithm for deadlock Detection and Resolution”, ACM Symp. on Principles of Distributed Computing, 1984.
Srinivasan et al., “Fault Detection/Monitoring Using Time Petri Nets”, IEEE Trans. on SMC, vol. 23, No. 4, 1993.
Zhao, “Distributed System With Self-Diagnosis and Self-Healing”, PhD thesis, Rutgers University, 2007.
Lu Yan
Zhao Peng
Coughlan Peter
Fernandez Rivas Omar
Siemens Corporation
LandOfFree
Online fault detection and avoidance framework for... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Online fault detection and avoidance framework for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Online fault detection and avoidance framework for... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2738785