Acoustics • Shock • Vibration • Signal Processing
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Experimental and numerical study of delamination detection in a WGF/epoxy composite plate using ultrasonic guided waves and signal processing tools
Reliable damage detection is one of the most critical tasks in composite plate structures. Ultrasonic guided waves are acknowledged as an effective way of structural health mo...
متن کاملNumerical and Analytical Investigation in Radiated Noise by a Shock-Absorber
In this article, the radiated noise by a shock-absorber is studied. This particular shock-absorber is used in a heavy-gauge shearing line in order to stop the cut steel sheets. Three steps are followed to evaluate the propagated sound in the surroundings; first of all, the plate vibration response is specified after the impact. Secondly, the edges of the plate are substituted by a set of the mo...
متن کاملCombined In-Oil Sensor for Vibration Measurement and Partial Discharge Detection using Acoustic and Electromagnetic Emissions SEBASTIAN COENEN Siemens AG Germany
Common acoustic partial discharge (PD) and vibration measurements use sensors attached on the outside tank wall of (power) transformers. Hereby, tank structure can lead to severe signal damping which in practice often leads to acoustic PD signals below noise level. Scope of the work is an acoustic and ultra-high frequency (UHF) detection of PD and additional recording of transformer vibrations ...
متن کاملFifth International Congress on Sound and Vibration
The performance demands in practical nmlisation of signal processing and control strategies have-motivated a trend towards utilisation of complex algorithms. This, in turn, has resulted in a resurgence in the development of high-performance processors to make real-time implementation of such algorithms feasible in practice. However, due to inefficient mapping of algorithms on processors, to tak...
متن کاملA DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks
A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...
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تاریخ انتشار 2003