Despite years of study on failure prediction, it remains an open problem, especially in large-scale systems composed of vast amount of components. In this paper, we present a dynamic meta-learning framework for failure prediction. It intends to not only provide reasonable prediction accuracy, but also be of practical use in realistic environments. Two key techniques are developed to address tec...

An availability and a reliability prediction has been made for a high-voltage direct-current (HVDC) module of VSC (Voltage Source Converter) containing DC/DC converter, gate driver, capacitor and insulated gate bipolar transistors (IGBT). This prediction was made using published failure rates for the electronic equipment. The purpose of this prediction is to determinate the additional module re...

Fractals are mathematical or natural objects that are made of parts similar to the whole in certain ways. In this paper a software reliability forecasting method of software failure is proposed based on predictability of fractal time series. The empirical failure data (three data sets of Musa’s) are used to demonstrate the performance of the reliability prediction. Compared with other methods, ...

BACKGROUND The prevalence of heart failure is expected to significantly rise unless high-risk patients are effectively screened and appropriate, cost-effective prevention interventions are implemented. METHODS AND RESULTS We performed a systematic review to evaluate the prediction characteristics of the published heart failure risk prediction models as of August 2014 using MEDLINE and EMBASE ...

Clustering empirical failure rate curves for reliability prediction purposes in case of consumer electronic products Szerző: József Dombi, Tamás Jónás, Zsuzsanna Eszter Tóth Cím: Clustering empirical failure rate curves for reliability prediction purposes in case of consumer electronic products Folyóirat: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 32:(3) pp. 1071-1083. (2016) Impact fact...