With the support of PARC’s technologies in the fields of condition-based maintenance (CBM), system analysis, artificial intelligence (AI) and embedded sensor technology, Leoni will drive its digital transformation forward. Initial research work is focused on the enablement of Leoni’s smart cable systems.
Technologies such as predictive maintenance and condition-based maintenance with the help of intelligent data analysis are now regarded as important drivers of Industry 4.0 and digital mobility projects. These technologies can help prevent unplanned system outages and increase availability of systems by evaluating all system components throughout their life-cycle and identifying individual components for replacement well ahead of performance degradation or failure. CBM or service/replacement of the identified components during planned maintenance windows reduces cost and system downtime.
The initial focus of this partnership will be to customize and demonstrate PARC’s CBM and advanced system analytics for Leoni’s smart cable systems. PARC’s model-based approach delivers high predictive accuracy and negligible false alarm rates.
“Because of their interdisciplinary expertise and vast experience in condition-based maintenance, system analytics, embedded sensors, and AI, PARC provides us with innovative insights into key aspects of this digital change,” said Torsten Schierholz, chief solutions officer at Leoni.
“As the internet of things (IoT) continues to develop and mature, every company needs to be thinking about how cutting-edge technologies will be deployed across software, hardware, and networking platforms,” said Ajay Raghavan, PARC research area manager. “As part of the transformation, Leoni will lead its clients and partners in embedding intelligence throughout the ecosystem, from intelligent cables, cable systems and components for the automotive industry, energy, and infrastructure.”