Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2008-12-31
2011-12-13
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
Reexamination Certificate
active
08078567
ABSTRACT:
Provided are a system and method for condition based maintenance of electrical devices. In one example, the method includes receiving test data that represents an attribute of a tested electrical device. The received test data is classified as belonging to a client and added to a control set representing an aggregate of information from many clients. The received test data is processed using a sparse data process if the attribute is represented by two sets of test data, and is processed using an autoregressive process if the attribute is represented by three or more sets of test data. Both the sparse data process and the autoregressive process may use information from the client and the control set. A future value of the attribute is predicted based on the processing, and at least a representation of the future value is output.
REFERENCES:
patent: 7020571 (2006-03-01), Lee
patent: 7096141 (2006-08-01), Bohan
patent: 7120552 (2006-10-01), Scherf et al.
patent: 7574318 (2009-08-01), Hsieh
patent: 7657790 (2010-02-01), Whetsel
patent: 7984331 (2011-07-01), Whetsel
patent: 8005633 (2011-08-01), Barford et al.
Low-Voltage Distribution Network Theoretical Line Loss Calculation System Based on Dynamic Unbalance in Three Phrases, Ni Feng; Yu Jianming; Electrical and Control Engineering (ICECE), 2010 International Conference on Digital Object Identifier: 10.1109/iCECE.2010.1290 Publication Year: 2010 , pp. 5313-5316.
Real-time emulation for power equipment development. II. The virtual machine, Slater, H.J.; Atkinson, D.J.; Jack, A.G.; Electric Power Applications, IEE Proceedings—vol. 145 , Issue: 3 Digital Object Identifier: 10.1049/ip-epa:19981849 Publication Year: 1998 , pp. 153-158.
Syntactic Decision Rules for Recognition of Spoken Words and Phrases Using a Stochastic Automaton, Kashyap, R. L.; Pattern Analysis and Machine Intelligence, IEEE Transactions on vol. PAMI-1 , Issue: 2 Digital Object Identifier: 10.1109/TPAMI.1979.4766901 Publication Year: 1979 , pp. 154-163.
Speech activated telephony email reader (SATER) based on speaker verification and text-to-speech conversion, Chung-Hsien Wu; Jau-Hung Chen; Consumer Electronics, IEEE Transactions on vol. 43 , Issue: 3 Digital Object Identifier: 10.1109/30.628698 Publication Year: 1997 , pp. 707-716.
Al Rose, Reliability Centered Maintenance, Technical Bulletin 014, Aug. 1, 2002.
John Cadick, P.E., Conditioned Based Maintenance . . . How to get started . . . 1996.
Mike DiLeo et al., Condition Based Maintenance, Oct. 1999.
Transformer Oil Analyst 3.3 Product Specification, Delta-X Research, Jul. 30, 2003.
Curtis Gary Dean, FCAS, MAAA, Education and Examination Committed of the Society of Actuaries, Construction and Evaluation of Actuarial Models Study Note, Topics in Credibility Theory, 2005.
Zhenyuan Wang, Artificial Intelligence Applications in the Diagnosis of Power Transformer Incipient Faults, Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University, Aug. 8, 2008.
Cadick John
Garonzik M. Shane
Traugott Gabrielle
Holmes Michael B
Howison & Arnott , L.L.P.
LandOfFree
System and method for condition based maintenance 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 System and method for condition based maintenance for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for condition based maintenance for... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4253443