Non-probabilistic reliability calibration method and error compensation strategy for precision assembly

iCASE Award Industrial Contribution BT

TRANSIT

TRANSIT (Towards a Robust Airport Decision Support System for Intelligent Taxiing) is a four site project between Queen Mary University of London, the University of Sehffield, University of Stirling and Cranfield University, funded by the UK EPSRC (grant numbers EP/N029496/1, EP/N029356/1, EP/N029577/1). The lead at each site is, respectively, Dr Jun Chen, Prof Mahdi Mahfouf, Dr John Woodward and Dr Mudassir Lone, with Dr Chen as the overall project director. The project also has an extensive list of industrial partners, which currently includes Air France – KLM, BAE Systems, Manchester Airport Plc, Rolls-Royce Plc, Simio LLC and Zurich Airport. The TRANSIT project aims to develop a unified routing and scheduling system which will be more Realistic, Robust, Cost-effective and Configurable,  producing better conformance of flight crew in response to 4 Dimensional Trajectories. Please visit our project website for more information: http://www.transitproject.co.uk  

Intelligent Control of Sewer Networks

Simulation platform for airport ground movement

Transferring an Intelligent Pump controller onto a Hardware Platform-Phase 5: Advanced Funcationality

In the previous 4 phases of the project, an intelligent pump controller based on Fuzzy Logic has been transferred onto an Arduino hardware platform which created a basis for a general control solution for Anglian Water sewer network. A prototype of the intelligent pump controller has been successfully deployed to a pumping station for an extended trial operation. Following this development, further advanced functions and features are needed for the intelligent pump controller to enable maintenance features, communication and diagnostic functions based on sensor inputs.

Towards a Robust Airport Decision Support System for Intelligent Taxiing

The TRANSIT project aims to develop a unified routing and scheduling system which will be more realistic, robust, cost-effective and configurable, producing better conformance of flight crew in response to 4 Dimensional Trajectories.