Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kai Aizawa"'
Publikováno v:
SAE International Journal of Advances and Current Practices in Mobility. 4:376-386
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 263:175-186
Wind noise is becoming to have a higher priority in automotive industry. Several past studies investigated whether SEA can be utilized to predict wind noise by applying a turbulent spectrum model as the input. However, there are many kinds of turbule
Autor:
Christopher Niezrecki, Gunnar Heilmann, Peyman Poozesh, Javad Baqersad, Kai Aizawa, Murat Inalpolat
Publikováno v:
Structural Health Monitoring. 16:471-485
This article proposes a non-contacting measurement technique based on acoustic monitoring to detect cracks or damage within a structure by observing sound radiation using a single microphone or a beamforming array. The technique works by mounting an
Autor:
Murat Inalpolat, Peyman Poozesh, Christopher Niezrecki, Kai Aizawa, Gunnar Heilmann, Javad Baqersad
Publikováno v:
SPIE Proceedings.
This paper proposes a non-contact measurement technique for health monitoring of wind turbine blades using acoustic beamforming techniques. The technique works by mounting an audio speaker inside a wind turbine blade and observing the sound radiated
Autor:
Kai Aizawa, Peter Avitabile
Publikováno v:
Special Topics in Structural Dynamics, Volume 6 ISBN: 9783319047287
In order to characterize the acceleration response of a structure due to shock environments, the Shock Response Spectrum method is widely used in the qualification process for the spacecraft industry. Generally, this test is performed with a shock te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca80f91da7ac700975f1ab40e5685ddc
https://doi.org/10.1007/978-3-319-04729-4_13
https://doi.org/10.1007/978-3-319-04729-4_13
Publikováno v:
The Journal of the Acoustical Society of America. 135:2392-2393
Wind turbines operate autonomously and can possess reliability issues attributed to manufacturing defects, fatigue failure, or extreme weather events. In particular, wind turbine blades can suffer from leading and trailing edge splits, holes, or crac