Method and system for automatically developing a fault...

Details Method and system for automatically developing a fault... Method and system for automatically developing a fault...

2007-05-31

2010-10-12

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Neural network

C706S014000, C714S026000

Reexamination Certificate

active

07814034

ABSTRACT:
A method and system for automatically developing a fault classification system from time series data. The sensors need not have been intended for diagnostic purposes (e.g., control sensors). These methods and systems are functionally independent of knowledge related to a particular equipment system, thereby allowing seamless application to multiple systems, regardless of the suite of sensors in each system. Because this algorithm is totally automated, substantial savings in time and development cost can be achieved. The algorithm results in a classification system and a set of features that might be used to develop alternative classification systems without human intervention.

REFERENCES:
patent: 5465321 (1995-11-01), Smyth
patent: 6735550 (2004-05-01), Weekley et al.
Tsay, Outliers, Level Shifts, and Variance Changes in Time Series, Journal of Forecasting, vol. 7, pp. I-20, 1988.
Hetland, Evolving Sequence Rules, Faculty of Information Technology, Mathematics and Electrical Engineering Department of Computer and Information Science, 2003.

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