Abstract:In this paper, a framework for conducting data-driven prognostics presence of a domainshift is introduced. Domain shift is brought about by factors such as changing operations which alterthe distribution of data thus degrading the performance of learned prognostic models. The use ofWeibull-based hazard functions of the kurtosis and shape factor time domain features are exploredand affirmed as not only being trendable and monotonic but robust across operating conditions; thus,desirable for prognosis. In the lea… Show more
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