When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Often times, only partial information is available: installation date and amount, as well as failure and replacement rates. By combining sufficiently large number of yearly… (More)
This article introduces two general sequential methods for model choice and outlier detection. The procedures require only limited information about the sample, namely the suitably chosen stopping times.