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Appl. Sci. 2017, 7(7), 737; doi:10.3390/app7070737

Elastic Wave Measurement Using a MEMS AE Sensor

1
Toshiba Corporation, 1, Komukai-toshiba-cho, Saiwai-ku, Kawasaki-shi, Kanagawa 212-8582, Japan
2
NMEMS Technology Research Organization, MBR99 building 6F, 67, Sakuma-kashi, Kanda, Chiyoda-ku, Tokyo 101-0026, Japan
3
IRT Research Institute, The University of Tokyo, 7-3-1 Hongo, Bunnkyo-ku, Tokyo 113-8656, Japan
4
Department of Mechanical Engineering, Faculty of Science and Engineering, Toyo University, 2100 Kujirai, Kawagoe-shi, Saitama 350-8585, Japan
5
Department of Mechano-Informatics, The University of Tokyo, 7-3-1 Hongo, Bunnkyo-ku, Tokyo 113-8656, Japan
*
Author to whom correspondence should be addressed.
Received: 28 April 2017 / Revised: 15 June 2017 / Accepted: 3 July 2017 / Published: 19 July 2017
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Abstract

In recent years, with the continuing progress of aging social infrastructures such as bridges and tunnels, there has been high demand for the assessment of deterioration of their performance and conditions. Since current inspection methods for those structures have mainly relied on human resources, it is important to reduce their increasing maintenance cost. One of the key methods for achieving effective maintenance without expensive human costs is to use sensors to discriminate between healthy and unhealthy conditions. In this paper, a MEMS (micro electro mechanical systems) wideband frequency sensor, which is referred to as a super acoustic (SA) sensor, is evaluated through the pencil lead break (PLB) test. Due to its wideband frequency characteristics, the SA sensor is expected to be a promising alternative to the existing vibration sensors, including acoustic emission (AE) sensors. Several PLB signals were generated on an aluminum plate (5 mm thick), and propagating Lamb waves were detected by both AE and SA sensors. SA sensors were able to identify the location of PLB sources on the plate by measuring time differences between each sensor. By comparing the wave spectrums of both the AE and SA sensors analyzed by wavelet transform, the applicability of SA sensor for AE measurement is verified. View Full-Text
Keywords: acoustic emission; MEMS sensor; acoustic emission sensor; elastic wave; source location acoustic emission; MEMS sensor; acoustic emission sensor; elastic wave; source location
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Omori, T.; Usui, T.; Watabe, K.; Nguyen, M.-D.; Matsumoto, K.; Shimoyama, I. Elastic Wave Measurement Using a MEMS AE Sensor. Appl. Sci. 2017, 7, 737.

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