International Business Machines Corporation

Lu Liu

Sia Kai Julian Tan

Steven Hurley, Jr

Ai Kiar Ang

David Arvin Verburg

Kevin Arthur Dore

An enhanced prediction model utilizing product life cycle segmentation and historic prediction data for generating more accurate future failure rates. Input data is segmented into groups based on failure modes of a corresponding life cycle. A prediction model such as Weibull analysis is implemented for each segmented group. Historical prediction data is also segmented into groups. Prediction parameters for each group of segmented historical prediction data are compared with one another and the comparisons are then used to adjust the prediction parameters generated from the segmented groups of input data. Updated parameters for the input data are then output thereby generating a new future failure rate.

Prediction model enhancement

A method, computer program product, and a system where a processor(s) obtains data comprising trends recognized by an observer of the system over time; data comprised of more than one vintage. The processor(s) transforms the data measurable dimensions and assigns the transformed data to vintages and to distinct periods of time. The processor(s) generates an image from the transformed data that represents the trends, organized by the distinct periods of times and the vintages.

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Singapore, Singapore

Lu Liu