Paper
30 March 2009 Prototyping a wireless sensing platform for acoustic emission signals collected by microphone arrays
Y. Lu, J. Tang
Author Affiliations +
Abstract
In this paper, we present a wireless sensing prototype for condition monitoring using acoustic emission signals. It consists of a 4-member microphone array, a 4-channel 16-bit analog-to-digital converter (ADC) and a wireless node. The prototype will serve as a platform for sensor and algorithm developments for gearbox condition monitoring. In the TinyOS operation system, software interfaces are written in the nesC language to link the hardware with high-level programs. The prototype will eventually collect acoustic emission signals from the microphone array, convert them into digital data using the ADC, perform local signal processing and transmit the results to another wireless node or a base station. Two TinyOS programs are also written to test the functionality of the ADC and the wireless nodes. The programs also demonstrate that data collection and transmission for the one-channel case has been accomplished, though the four-channel case is still under development. Preliminary results and analysis are presented in the paper. Future improvements would involve microphone array filtering/denoising, four-channel data transfer, signal processing and decision making algorithms, and a high-level wireless transmission protocol.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. Lu and J. Tang "Prototyping a wireless sensing platform for acoustic emission signals collected by microphone arrays", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 72921C (30 March 2009); https://doi.org/10.1117/12.816139
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Prototyping

Signal processing

Sensors

Acoustic emission

Power supplies

Algorithm development

Wind energy

Back to Top