Development of a low‐power wireless acoustic emission sensor node for aerospace applications. Issue 4 (11th January 2021)

• Record Type: Journal Article
• Authors: Grigg, Stephen; Pullin, Rhys; Pearson, Matthew; Jenman, David; Cooper, Robert; Parkins, Andrew; Featherston, Carol Ann
• Is Part Of: Structural control and health monitoring. Volume 28:Issue 4(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-01-11
• Subjects: acoustic emission -- aircraft -- sensor node -- structural health monitoring -- wireless; Structural engineering -- Periodicals; Structural control (Engineering) -- Periodicals; Automatic data collection systems -- Periodicals; Detectors -- Periodicals; 624.17
• DOI: 10.1002/stc.2701
• Languages: English
• ISSNs: 1545-2255

Abstract

Summary: Acoustic emission (AE) is the spontaneous release of energy caused by the growth of damage, the monitoring of which gives an indication of the presence of damage within a structure. The current standard for AE localisation is difficult to apply in a low‐power system as sensors must either be wired together or Node's time synchronised, which is power intensive. This paper proposes the use of a method of bonding three piezoelectric sensors in a small triangular array, which has previously been shown by Aljets et al. to be capable of locating sources in simple structures. In this prior work the wave's A0 mode was used to predict the angle of arrival and the distance the wave has travelled through single sensor modal analysis. This paper presents the development of hardware to apply this technique and testing that showed artificial sources could be located in simple plates to a good level of accuracy. The addition of complexity to structures significantly reduced accuracy. This prompted hardware modifications to use the S0 mode for angle prediction. Testing showed that this significantly improved performance in a complex composite structure. The power consumption of the device is very low, consuming 0.33 mW in sleep mode, 17.44 mW whilst waiting for an event and 38 mW to record, process and transmit an event. This level of consumption has the potential to be self‐powered via energy harvesting.