Wireless Acoustic Emission Sensor Device with Microcontroller

Chilibon, Irinela; Mogildea, Marian; Mogildea, George

doi:10.1016/j.proeng.2012.09.275

Cited by 6 publications

(2 citation statements)

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“…Recent Developments of Diffusion Processes and their Applications: Fluid, Heat and Mass Figure 6. Experimental wireless module for acoustic emission sensor [10] As example of AE method, Fig. 7 presents prevailed AE signals by the sensor in the breaking moment of aluminium pipe at the maximum stretch.…”

Section: Acoustic Emission Techniquementioning

confidence: 99%

Non-Destructive Evaluation Methods of Materials and Structures

Chilibon

2015

DDF

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This paper presents some non-destructive evaluation methods of materials and structures, such as: pulse method, resonance method, direct measurement of the propagation velocity, pulse-echo method, impact-echo method, acoustic emission evaluation, interferometry and infrared thermography. The methods are suitable for non-metallic materials, with rugged and non-homogeneous structure, high attenuation coefficients for ultrasound propagation waves into materials, composites multilayer structures, etc. Some relevant measurement parameters are presented too.

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Section: Acoustic Emission Techniquementioning

confidence: 99%

Non-Destructive Evaluation Methods of Materials and Structures

Chilibon

2015

DDF

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“…Furthermore, this work introduces the AE technique to be embedded in the sensor processing layer for condition monitoring purposes. Although some approaches can be found in the literature [29][30], it should be noted that this is the first time that all these technologies, that is, AE sensing and D processing, wireless communication and multi-source energy harvesting, converge in a unique sensor solution for industrial applications. Moreover, this work represents an important step to the introduction of wireless sensor devices and advanced sensing strategies to the development of industrial condition monitoring solutions.…”

Section: Introductionmentioning

confidence: 99%