The problem of rare events in large multivariate time series is explored within the context of a condition monitoring and failure prediction problem. A data set from DataPath’s MaxView software is used. We establish a baseline for prediction on this data set. This report examines feature extraction and similarity metrics for multivariate time series. The aspect of rare events is most relevant i...

This paper uses a data mining approach to the prediction of corporate failure. Initially, we use four single classi®ers Ð discriminant analysis, logistic regression, neural networks and C5.0 Ð each based on two feature selection methods for predicting corporate failure. Of the two feature selection methods Ð human judgement based on ®nancial theory and ANOVA statistical method Ð we found the AN...

Commutation failure is a common fault for line-commutated converters in the inverter. To reduce the possibility of commutation failure, many prediction algorithms based on alternating current (AC) voltage detection have already been implemented in high voltage direct current (HVDC) control and protection systems. Nevertheless, there are currently no effective methods to prevent commutation fail...

in order to investigate the structural behaviour of persian brick masonry domes, three types of semi-circular, (drop, ordinary and raised) four-centred and (drop, ordinary and raised) pointed domes have been studied. the three-dimensional non-linear finite element method using the ansys code has been used for analysis. domes with different thicknesses and spans have been subjected to monotonic ...