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Causal nonlinear dose response analysis of donor-recipient predicted heart mass ratio. [PDF]
Dale R +4 more
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Heavy Water Remodels the DNA Energy Landscape to Stabilize Folded States and Slow Transitions. [PDF]
Kim SE +5 more
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Hydatidiform Moles: The Contribution of Ancillary Techniques in Refining Their Histopathological Diagnosis. [PDF]
Balan TA +4 more
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2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 2016
Snecma has been developing Prognostic and Health Monitoring (PHM) functions to monitor different sub-systems of an aircraft engine. To gain maturity and to take more accurate decisions, algorithms need a reality check on the significance of their results.
Audrey Dupont, Jean-Rémi Massé
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Snecma has been developing Prognostic and Health Monitoring (PHM) functions to monitor different sub-systems of an aircraft engine. To gain maturity and to take more accurate decisions, algorithms need a reality check on the significance of their results.
Audrey Dupont, Jean-Rémi Massé
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Analytical evaluation of PHM convergence
IEEE Transactions on Communications, 2006The parallel hierarchical matching (PHM) algorithm is a distributed maximal size matching scheduler for virtual output-queued switches. In a previous letter, we formulated an upper bound on the maximum number of iterations PHM requires to achieve a maximal size matching in any traffic scenario.
Francisco J. González-Castaño +4 more
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Aviation PHM system research framework based on PHM big data center
2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 2016Aviation Prognosis and Health Management (PHM) is an important measure to improve the security, reliability, testability, maintainability and supportability of aircrafts. The development of aviation PHM system has been widely concerned. However, the design framework of aviation PHM system in various countries at present is not uniform, the engineering ...
Lu Yang, Jian Wang 0029, Guigang Zhang
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2012 IEEE Conference on Prognostics and Health Management, 2012
Widespread adoption of Prognostics Health Management (PHM) systems can be hampered by hardware cost. One way to reduce cost, and expand the applications of PHM into industry, is to use embedded microprocessors to perform PHM analysis. Embedded PHM is challenging in that micro-controllers have limited processing power and memory.
Eric Bechhoefer, Austin Fang
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Widespread adoption of Prognostics Health Management (PHM) systems can be hampered by hardware cost. One way to reduce cost, and expand the applications of PHM into industry, is to use embedded microprocessors to perform PHM analysis. Embedded PHM is challenging in that micro-controllers have limited processing power and memory.
Eric Bechhoefer, Austin Fang
openaire +1 more source

