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significantly increase the reliability, durability and longevity of the space satellite structures. The student will get an opportunity to present the research paper at one international conference. The student
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generated, can significantly shape the legitimacy of monitoring schemes. Drawing on a political ecology approach, the aim of this project is to explore the processes through which river monitoring programmes
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for a Condition-based maintenance (CBM) which holds the promise of predicting machinery maintenance requirements based on process performance measurements. Diagnostics and Prognostics are essential
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this research is that it should be possible to significantly improve the performance of extreme learning and assure safe and reliable maintenance operation by integrating this prior knowledge into the learning
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Development Agency (EEDA); a consortium of core industrial partners, (Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD and Alstom); and from EPSRC. The investment, over the first 5 years of operation, was