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Projects: Projects for Investigator
Reference Number EP/J012343/1
Title Novel Sensing Networks for Intelligent Monitoring (Newton)
Status Completed
Energy Categories Nuclear Fission and Fusion(Nuclear Fission, Other nuclear fission) 20%;
Not Energy Related 80%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials) 25%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 50%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 25%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor GY Tian
No email address given
Electrical, Electronic & Computer Eng
Newcastle University
Award Type Standard
Funding Source EPSRC
Start Date 01 July 2012
End Date 31 December 2016
Duration 54 months
Total Grant Value £1,175,282
Industrial Sectors Aerospace; Defence and Marine
Region North East
Programme NC : Engineering, NC : ICT
 
Investigators Principal Investigator Professor GY Tian , Electrical, Electronic & Computer Eng, Newcastle University (99.995%)
  Other Investigator Dr Z Ding , Electrical, Electronic & Computer Eng, Newcastle University (0.001%)
Mr JA Neasham , Electrical, Electronic & Computer Eng, Newcastle University (0.001%)
Professor J Austin , Computer Science, University of York (0.001%)
Dr Z Lang , Automatic Control and Systems Engineering, University of Sheffield (0.001%)
Dr TJ Dodd , Automatic Control and Systems Engineering, University of Sheffield (0.001%)
  Industrial Collaborator Project Contact , Cybula Ltd (0.000%)
Web Site
Objectives
Abstract This proposal seeks funding for a four-year research programme to develop an autonomous, intelligent system to obtain a revolutionary solution for condition/structural health intelligent monitoring, with specific applications in condition monitoring of railways and in-service Non-Destructive Evaluation (NDE) for nuclear applications. This project addresses important goals: low cost and low power consumption sensor networks, sensor exploration, software architectures, autonomous data fusion and intelligent system management, spectrally efficient and reliable communications with novel approaches of radio frequency identification (RFID) based passive sensing networks, non-linear feature extraction and model based fusion, compressed sensing, cloud-based computing and decision making. The research will extend our knowledge in several complementary areas: low cost sensor technologies, wireless sensor network (WSN) for NDE and structural health monitoring (SHM), feature extraction and fusion, robust communication, and software architectures. The work will be undertaken jointly by cross-disciplinary research teams from Newcastle, Sheffield and York Universities, in collaboration with industrial strategic partners
Publications (none)
Final Report (none)
Added to Database 23/07/12