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The present study analyses in depth the algorithms of change point detection in time series for the prediction of failures through the monitoring of mini-terms in real time. The mini-term is a new concept in the area of failure prediction that is based on the measurement of the time it takes for a component to perform its task. The simplicity of the technique has made it feasible to build industrial Big Data for the prediction of failures based on this concept. There are currently more thandoi:10.5220/0009594001170124 dblp:conf/icinco/GarciaMLL20 fatcat:4xmddj4twbddjfrvfxjja4i54a