Annonce
Prognostics and System Health Management Conference
23 Janvier 2019
Catégorie : Conférence internationale
Following the successful PHM conferences over the past 9 years, the 2019 Prognostics and System Health Management Conference (PHM2019) will be held in Paris, France, on May2-5, 2019. This conference will be held together by Le Cnam, University of Paris–Sud, IEEE Reliability Society, IEEE France Section, Femto St, Alstom Digital Mobility, International Society of Measurement, Management and Maintenance, CTBU, Carleton University, CALCE, CJA, and LPTi. All the accepted papers will be published in IEEEXplore® for indexing with Engineering Index(EI). Selected excellent papers will be published in the special issues of several SCI journals. Please refer to the conference website (www.phm2019.org) for more details.
Paris is the capital and most populous city of France. Paris has a rich history with numerous world-renowned attractions for visiting, such as Eiffel Tower, Seine River, Louvre Museum, Triumphal Arch, and Notre Dame de Paris. Paris is also the center of a vibrant academic and industrial research community in PHM and related are as such as data science.
PHM 2019-Paris is seeking original papers for presentations at the conference. Researchers and participants from academia, industry, and government organizations are invited to submit their papers on the following topics:
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Theory and Principles |
System Designs & Implementation |
Applications |
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* Sensors and devices * Structural sensing * Modeling and simulation * Data-driven methods * Model-based methods * Multi-sensor fusion principles * Logic/reasoning techniques * Verification, validation, and maturation * Benchmarking * Affordability aspects and business cases for PHM * Standards and methodologies * Detection, estimation, prediction |
* Requirements development * System design & engineering * Automated reconfiguration * Statistical analysis of uncertainty * Component-level PHM * Nondestructive evaluation technologies with PHM utilization * Decision support & simulation * PHM computer-aided engineering technologies/applications * Physics of failure
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* Rail transportation * PHM within power smart grid technology * PHM for electronics components and systems * PHM within innovative aerospace and defense, appliance, medical, electric vehicle, deep drilling, and energy applications * Fleet/industrial PHM-based maintenance management * Informed logistics * Lessons learned from PHM systems design and integration * Cloud computing for PHM * PHM for energy systems
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