منابع مشابه
Digital Signal Processing for Acoustic Emission
Fast advances in several signal processing techniques, along with cost-effective digital technologies for their implementation, are ready to address important manufacturing and machine monitoring issues for which no solution currently exists. Among new technologies are advances in wavelet and time-frequency signal analysis. By virtue of their ability to characterize both transient phenomena and...
متن کاملAcceleration of acoustic emission signal processing algorithms using CUDA standard
Offline processing of acoustic emission (AE) signal waveforms recorded during a long-term AE monitoring session is a challenging problem in AE testing area. This is due to the fact that today’s AE systems can work with up to hundreds of channels and are able to process tens of thousands of AE events per second. The amount of data recorded during the session is very high. This paper proposes a w...
متن کاملAcoustic Emission and Signal Analysis
Acoustic emission (AE) is one of the most recent entries into the field of nondestructive evaluation. Due to the uniqueness of the basic principle and the potential for tackling a wide range of applications, the technique has gone through rapid strides in a very short time. Thus, today, two decades after the first application of the technique, AE is used in various industries, such as petro-che...
متن کاملUnderwater Acoustic Signal Processing Workshop
Listings Underwater Acoustic Communications: Working at the Intersection of Physics, Signal Processing, and Communications Theory James C. Preisig Woods Hole Oceanographic Institution WHIO, MS #11 Woods Hole, MA 02543 [email protected] The underwater environment is widely regarded as one of the most difficult communication channels. Underwater acoustic communications systems are challenged by t...
متن کاملAcoustic emission classification using signal subspace projections
In using acoustic emissions (AE) for mechanical diagnostics, one major problem is the differentiation of events due to crack growth in a component from noise of various origins. This work presents two algorithms for automatic clustering and separation of AE events based on multiple features extracted from experimental data. The first algorithm consists of two steps. In the first step, the noise...
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ژورنال
عنوان ژورنال: Measurement and Control
سال: 2001
ISSN: 0020-2940
DOI: 10.1177/002029400103400804