نتایج جستجو برای: acoustic emission technique

تعداد نتایج: 855703  

2011
Naveen Rathi Amit Gupta Rajesh Kumar Vikas Kumar

Acoustic Emission (AE) is being extensively used as a Non Destructive Technique (NDT) for diagnosis of rotating components. The main theory behind this diagnosis is that while rotation, acoustic energy level of defective portion in rotating element is different. In the present study a signal processing technique is proposed to identify the variation in acoustic signal and results are verified f...

2016
K. Bharathi

In recent years, the dynamic behavior of solid structure defects is extremely important as a small defect that is growing may well be more significant than a larger stable defect. Acoustic Emission (AE) is the method used to investigate the behavior of defects under stress. The importance of the AE is to determine the source location when it occurs. It is a real time monitoring technique. Ident...

2010
Christian U. Grosse Steven D. Glaser Markus Krüger

The structural state of a bridge is currently examined by visual inspection or by wired sensor techniques, which are relatively expensive, vulnerable to inclement conditions, and time consuming to undertake. In contrast, wireless sensor networks are easy to deploy and flexible in application so that the network can adjust to the individual structure. Different sensing techniques have been used ...

2017
Davide Crivelli John McCrory Stefano Miccoli Rhys Pullin Alastair Clarke

The phenomenon of fatigue in gears at the tooth root can be a cause of catastrophic failure if not detected in time. Where traditional low-frequency vibration may help in detecting a well-developed crack or a completely failed tooth, a system for early detection of the nucleation and initial propagation of a fatigue crack can be of great use in condition monitoring. Acoustic emission is a poten...

Journal: :Applied sciences 2021

This paper applies the Acoustic Emission (AE) Technique to analyze damage process in a one-meter span bridge model that was built from spaghetti sticks during loading test. The AE signals are analyzed terms of four coefficients evaluated as predictors structure failure, with frequency variation appearing be strongest indicator instability. data also compared theoretical predictions given by Bun...

Journal: :Journal of the Surface Finishing Society of Japan 1992

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