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Kalman Filtering and Its Application to Reliability

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1 Author(s)
Breipohl, A.M. ; Department of Electrical Engineering, Oklahoma State University, Stillwater, Okla.

The basic ideas of Kalman recursive filtering is explained in such a manner that the application of these ideas to reliability may be seen. The Bayesian viewpoint is adopted, and the explanation of Kalman filtering is broken into two parts: 1) the combination of an old estimate with data, and 2) the updating of estimates via the system model.

Published in:

Reliability, IEEE Transactions on  (Volume:R-18 ,  Issue: 3 )