Refined condition monitoring and fault detection for onboard electrical systems
More complex systems as well as the electrification of loads currently play a decisive role in the development of onboard electrical systems of industrial vehicles. To gain maximum reliability of system components, machine learning, system identification and pattern recognition methods can be applied to detect fault events in load circuits and gradual malfunction of components. Based on decentralized intelligent power distribution units with comprehensive diagnostic capabilities, customized solutions of refined and decentralized condition monitoring, as well as predictive maintenance and load management concepts, can be realized.