SMSA
Stochastic Mechanical Systems
& Automation Laboratory
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Announcements-
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The Laboratory for Stochastic Mechanical Systems & Automation (SMSA) specializes on statistical methods for the estimation, analysis, prediction, fault diagnosis and control of stochastic mechanical signals and systems. These include mechanical (vibration, acoustical and other) signals, as well as industrial systems, mechanical structures, electromechanical systems, as well as vehicle and aircraft systems.
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Director: Prof. S.D. Fassois Department of Mechanical Engineering & Aeronautics University of Patras, GR 265 00, Patras, Greece Tel./Fax: ++ 30 2610 969 495 E-mail: Prof. S.D. Fassois |
J.S. Sakellariou, Lecturer Department of Mechanical Engineering & Aeronautics University of Patras, GR 265 00, Patras, Greece Tel./Fax: ++ 30 2610 969 494 E-mail: J.S. Sakellariou |
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| Laboratory & Instructional Personel |
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Mrs. S. Katopodi, EEDIP II Tel./Fax: ++ 30 2610 969 492 E-mail: Mrs. Katopodi |
NEW PhD RESEARCH POSITIONS
Innovative Guidance and Control aircraft systems
Innovative personal aircraft systems
System identification, condition and health monitoring for new generation wind turbines
New Book on SHM -- including a chapter on Statistical Time Series Methods for SHM
New Trends in Structural Health Monitoring
Series: CISM International Centre for Mechanical Sciences, Vol. 542
Ostachowicz, Wieslaw; Güemes, Alfredo (Eds.) 2013, 436 p. 284 illus., ISBN 978-3-7091-1389-9, Due: December 31, 2012New Course: 3rd SYSWIND Summer School on Control, Health Monitoring, and Wind Energy/Power Grid Energy
University of Patras, Greece, July 16, 2012 – July 20, 2012
[Course Flyer] [Registration Form] [Achaia Beach Hotel Reservation Form] [Travel Information]System Identification, Condition & Health Monitoring for New Generation Wind Turbines (SYSWIND)
European Research & Training Network on new wind turbine technology, innovative science and professional training.
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