Paper
18 May 2011 Fiber Bragg grating microphone system for condition-based maintenance of industrial facilities
Author Affiliations +
Proceedings Volume 7753, 21st International Conference on Optical Fiber Sensors; 77538B (2011) https://doi.org/10.1117/12.884853
Event: 21st International Conference on Optical Fibre Sensors (OFS21), 2011, Ottawa, Canada
Abstract
This paper presents a multipoint fiber Bragg grating (FBG) sensing system operating as a precision microphone. This instrument aims to become the best performing technology for condition-based maintenance (CBM) of critical elements, like ball bearings and cogwheels, embedded in industrial manufacturing machineries. The system architecture is based on the simple matched-laser principle, leading to a low-cost and high-sensitivity system, operating in time and wavelength multiplexing mode. Then, heavy signal processing is applied, providing an outstanding performance improvement of 59 dB in terms of signal-to-noise ratio. A demonstration of condition-based maintenance operation has been performed using standard models of ball bearing sound spectra. Compared to traditional microphones applied to CBM, the signal processing-powered FBG system provides remarkable advantages in terms of sensitivity and rejection of environment noise, providing an improvement of cost-effectiveness of CBM.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Tosi, M. Olivero, G. Perrone, and A. Vallan "Fiber Bragg grating microphone system for condition-based maintenance of industrial facilities", Proc. SPIE 7753, 21st International Conference on Optical Fiber Sensors, 77538B (18 May 2011); https://doi.org/10.1117/12.884853
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fiber Bragg gratings

Signal to noise ratio

Signal processing

Sensors

Filtering (signal processing)

Interference (communication)

Signal detection

Back to Top