The proceedings of the conference are now available on HAL :

https://hal.science/SURVISHNO2023/

The program for the resonance conference is now available :

programV4

Note that the full program of the Resonance event (including keynotes, JISFA and JJCAB) is available on the resonance website

https://events.isae.fr/event/22/timetable

and is also accessible from your smartphones from the EVENTOOL app.

It is our pleasure to announce the next edition of SURVISHNO, as a subevent of the Resonance Conference that will be held from the 10th to the 13th of july 2023 in Toulouse, France. 

SURVISHNO is a joint organization of the conferences Surveillance, VISHNO (Vibration Shocks and Noise) and EVA (Experimental Vibration Analysis), which aims at bringing together actors -- researchers, scientists and industry professionals -- in the fields of vibrations, structural dynamics, and health monitoring.The conference will provide a forum for the most recent advances in these fields as well as a unique opportunity for interacting in a collegial atmosphere.

The Resonance Conference aims at gathering three subevents with a unit of time and place : SURVISHNO (SURVeillance, VIbration, SHocks and NOise) JISFA ( Industry Days of the French Acoustical Society) JJCAB (Young Researchers in Acoustics, Vibration and Noise)

Sessions will be organized parallelly for the different events, that will share social events, exhibition, breaks, plenary lectures and round tables.

Please submit your SURVISHNO abstract proposal (350 words max) on the dedicated page:

https://survishno2023.sciencesconf.org/submission/submit

Special sessions will be organized around following topics:

• Angular Approches
• Condition Monitoring
• Data analytics and Condition monitoring via ML/AI techniques
• Dynamic models and model-based techniques
• Dynamics and Pyroshock testing for aerospace structures
• Fault diagnostics and prognostics
• Jointed Structure
• Machine tool vibration
• Model and System Identification
• Monitoring Large-Scale Complex Systems (fleet of machines)
• Noise and vibration in eco-efficient powertrains (electrical drive)
• passive control of vibrations
• predictive maintenance using Artificial Intelligence
• Signal Processing
• Smart Structures
• Uncertainties, robustness, stochastic systems
• Vibration fatigue
• Vibration-based Structural Health Monitoring