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1
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84888889677
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JSP 553 - Military airworthiness regulations
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July
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The UK Ministry of Defence, "JSP 553 - Military Airworthiness Regulations," 2003 MOD Joint Service Publication, Edition I, July 2003.
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(2003)
2003 MOD Joint Service Publication, Edition I
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2
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84888915792
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Title 14 aeronautics and space, chapter I - Part 25 - Airworthiness standards: Transport category airplanes, § 25.1309 equipment, systems, and installation
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October
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Federal Aviation Administration, "Title 14 Aeronautics and Space, Chapter I - Part 25 - Airworthiness Standards: Transport Category Airplanes, § 25.1309 Equipment, systems, and installation," 2003 FAA Code of Federal Regulations, October 2003.
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2003 FAA Code of Federal Regulations
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3
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4243463200
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Thomas E. Munns, Richard E. Beard, Aubrey M. Clup, Dennis A. Murphy and Renee M. Kent, "Analysis of Regulatory Guidance for Health Monitoring," NASA/CR2000-210643, December 2000
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Analysis of Regulatory Guidance for Health Monitoring
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5
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Software considerations in airborne systems and equipment certification
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7992 DO-178B / ED-12B, RTCA, Inc., Washington, DC, December
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6
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The evolution of FUMS™, a prognostic health management system
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July
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Hesham Azzam, Ian Grainger, Rachel Powell and Ken Bryant, "The Evolution of FUMS™, a Prognostic Health Management System," Proceedings of the First European Workshop on Structural Health Monitoring, Paris, July 2002.
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Proceedings of the First European Workshop on Structural Health Monitoring, Paris
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Azzam, H.1
Grainger, I.2
Powell, R.3
Bryant, K.4
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7
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FUMS™ technologies for verifiable affordable prognostics health management (PHM)
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April
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Hesham Azzam, Jonathan Cook and Stuart Driver, "FUMS™ Technologies for Verifiable Affordable Prognostics Health Management (PHM)," 2004 IEEE Aerospace Conference Proceedings, April 2004.
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(2004)
2004 IEEE Aerospace Conference Proceedings
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Azzam, H.1
Cook, J.2
Driver, S.3
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8
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2342470573
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The use of mathematical models and artificial intelligence techniques to improve HUMS prediction capabilities
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June
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Hesham Azzam, "The Use of Mathematical Models and Artificial Intelligence Techniques to Improve HUMS Prediction Capabilities," The Royal Aeronautical Society, Proceedings of Innovation in Rotorcraft Technology, p 16.1-16.14, June 1997.
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(1997)
The Royal Aeronautical Society, Proceedings of Innovation in Rotorcraft Technology
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Azzam, H.1
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9
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A mathematical network approach to structural prognostic health management
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July
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Frank Beaven, Hesham Azzam, lain Hebden and Louis, Gill, "A Mathematical Network Approach to Structural Prognostic Health Management," Proceedings of the First European Conference on Structural Health Monitoring, Paris, France, July 2002.
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(2002)
Proceedings of the First European Conference on Structural Health Monitoring, Paris, France
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Hebden, L.3
Louis, G.4
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10
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Monitoring the damaging effects of aircraft rare events
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July
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Malcolm Wallace, Hesham Azzam, lain Hebden and Louis Gill, "Monitoring the Damaging Effects of Aircraft Rare Events," Proceedings of the First European Conference on Structural Health Monitoring, Paris, France, July 2002.
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(2002)
Proceedings of the First European Conference on Structural Health Monitoring, Paris, France
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Wallace, M.1
Azzam, H.2
Hebden, L.3
Gill, L.4
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12
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84888916120
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Refinement of the Smiths mathematical networks for tornado structural locations
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April
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Malcolm Wallace and Hesham Azzam, "Refinement of the Smiths Mathematical Networks for Tornado Structural Locations." Smiths Aerospace Electronic Systems - Southampton Report REP1562, April 2003.
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Smiths Aerospace Electronic Systems - Southampton Report
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Wallace, M.1
Azzam, H.2
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14
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84888922160
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Evaluating the generalisation capabilities of prediction methods and their management approaches
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January
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Nigel Wakefield, Frank Beaven, Malcolm Wallace and Hesham Azzam, "Evaluating the Generalisation Capabilities of Prediction Methods and their Management Approaches," Smiths Aerospace Electronic Systems - Southampton Report REP1546, January 2003.
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(2003)
Smiths Aerospace Electronic Systems - Southampton Report
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Wakefield, N.1
Beaven, F.2
Wallace, M.3
Azzam, H.4
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16
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0032140934
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Bias and variance of validation methods for function approximation neural networks under conditions of sparse data
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January
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Twomey, J.M.1
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17
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84964203940
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Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
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