Drivetrains in machines and vehicles are often monitored for following up on their health and detecting unexpected events. One way of doing this, is by looking at the high-frequency signals of the electric motors and converters. Since these signals represent a huge amount of data, part of the analysis has to be carried out locally, close to the machine. It would be highly expensive or practically infeasible to store this data, or transmit it over the internet. This means that this data is essentially lost, while valuable things can be learned from it to improve the monitoring and detection application. This is where the INCADD project comes in. By providing ‘intelligent data capturing’, the most interesting parts of these signals are captured, transmitted over the internet and stored in the cloud, while the majority of uninteresting/redundant data is discarded. As such, INCADD aims to be key enabler for improving monitoring and detection applications.