**Rail Anomaly Detection and Reaction** The RADAR project team will be led by Transmission Dynamics (TD) and delivered in collaboration with a fellow SME, Komodo Digital (KD) and the RADAR Project Board; Network Rail (NR). Angel Trains (AT -- Rolling Stock Leasing Company) and Avanti West Coast (AWC - Train Operating Company). The partners have already delivered exemplary collaboration to develop and rollout a market leading pantograph and overhead line monitoring system (PANDAS V(r)). RADAR will build on this success to deliver a solution to the global Rail industry's critical need, to monitor and resolve asset and infrastructure anomalies more efficiently, via data driven decision making and automation of administrative tasks. RADAR will deliver self-learning automated pantograph and overhead line anomaly detection capabilities and demonstrate the ability to automate reactive measures to critical incidents. These rail market leading capabilities will be delivered through extensive Machine Learning, Artificial Intelligence and Generative Prescription Transformers, to enhance on board edge processing protocols via TD's existing, multi-award-winning, pantograph and overhead line monitoring solution, PANDAS V(r). This game-changing project will deliver disruptive innovations that are train, pantograph and location agnostic. This truly globally advanced Industrial Internet of Things solution will improve efficiency and productivity in asset and infrastructure anomaly detection and reaction. Moving way beyond leading remote condition monitoring and predictive maintenance decision support solutions, RADAR offers the ability to use live asset/infrastructure intelligence in real time, to instantly reduce risks, disruption and costs associated with prolific anomalies that otherwise deteriorate exponentially over time. With upto 50 trains per hour passing every anomaly and exacerbating them every time, RADAR's intelligent and self-configuring pantograph network interaction will incomprehensibly impact safety and likelihood of faults leading to further damage, risks of service effecting failures (delays) and potential for expensive to rectify (£1.5m each) dangerous and disruptive de-wirements. In addition to delivering the monitoring and automated reporting capabilities above, RADAR will develop an Artificial Intelligence driven Graphical User Interface to improve user adoption. It will learn individual user's requirements, level of engineering knowledge and role in the complex rail supply chain to give them the exact information they need, in a form they can understand, in order to promptly utilise it. This complex, user lead GUI work package will ensure the presentation of RADAR intelligence dynamically evolves to meet their individual needs, improving overall user experience and engagement, to maximise the speed of reaction to alerts.

Developing an Intelligent Pantograph that evolves current pantograph automatic drop devices (ADD) to significantly reduce false drops and no fault found (NFF) costly inspections.

**Our vision for the project:** SPACE will radically change the way companies will interact with each other and how OEMs will award contract work to their supplier base with a focus on small-scale batches or one-off orders. Our vision is to enable small-scale production orders to be placed instantaneously at a supplier with a committed delivery date and price. SPACE will be developed for all industries and independent of the nature of Supplier-OEM interaction. To facilitate this, SPACE will have support from the Automotive and Railway sector and feature representatives from End-User, OEM and Supplier. **Main areas of focus** SPACE will focus on the interaction of Supplier and OEM and tackles a major source of inefficiency in outsourcing departments. These departments don't have the necessary volume to set up dedicated and streamlined processes and rely on iterative, manual work.

This collaborative R&D project will demonstrate the development of production technologies for traction motor production. This will enable production scale-up of motors produced by Magnetic Systems Technology (Magtec), a leading UK supplier servicing the commercial vehicles market. Magtec's electrification solution can be fitted as original equipment or as a retrofit/repower solution for fleets of commercial vehicles (buses/trucks etc.). The project will directly address both issues by providing the electric alternatives to diesel power solutions, at required volumes, with demonstrable operational reliability. The project accelerates innovative production technologies at Magtec, with the motor manufacturing pilot line being the focus area. The forecast for growth (post project completion) represents an order of magnitude increase in production demand over the following 5 years. This is driving the need to accelerate the development and delivery of innovative and bespoke manufacturing processes and assembly methods. The project consortia led by Magtec includes four leading transport sector OEM's - Dennis Eagle, Paneltex, Volta Trucks and Angel Trains. These partners will support the definition of requirements and verification of the solutions developed within this project, ensuring the manufacturing processes and approach, are repeatable and robust, and therefore delivering reliable products to their respective markets. It includes two High Value Manufacturing Catapults -- the Manufacturing Technology Centre (MTC) and the Advanced Manufacturing Research Centre (AMRC) at the University of Sheffield, whose expertise will be focused on utilising the most innovative manufacturing process and assembly methods development activities. This will cover the integration of data and information systems and embedded quality assurance methods, to ensure robustness and repeatability throughout. Magtec sources most of its components and materials from the UK, with a large proportion of these within a short distance from its Sheffield assembly facility. The project will become a catalyst to reduce risk in the supply-chain proposition by developing deep relationships, predominantly in the region, to maximise the UK value-added content accordingly. Forecast supply and production requirements have created supply-chain resilience challenges, which shall be addressed through the project. Skills development within all partners and the wider supply-chain will be core, as partners move towards electrified propulsion systems at a vehicle level, and automated/semi-automated processes within the value stream.