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Franciscangelis, CarolinaORCID iD iconorcid.org/0000-0002-0137-4245
Publications (3 of 3) Show all publications
Franciscangelis, C., Lindblom, M., Margulis, W., Tow, K., Sjölander, O., Kahlman, L. & Bankeström, O. (2019). On-field validation of real-Time phase-OTDR for roller bearing monitoring. In: Proceedings of SPIE - The International Society for Optical Engineering: . Paper presented at 7th European Workshop on Optical Fibre Sensors, EWOFS 2019, 1 October 2019 through 4 October 2019. SPIE
Open this publication in new window or tab >>On-field validation of real-Time phase-OTDR for roller bearing monitoring
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2019 (English)In: Proceedings of SPIE - The International Society for Optical Engineering, SPIE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

This work presents an on-field validation of an in-house built real-Time phase-OTDR for monitoring the status of roller bearings. The acoustic sensor prototype was designed and assembled at RISE and evaluated on a 1 m diameter bearing at SKF AB facilities in Göteborg, Sweden. A 0.24 numerical aperture single-mode optical fiber was installed in the bearing lubrication groove, which is 50 mm large and 5 mm deep. Tests were performed to verify the response of the phaseOTDR to acoustic emissions in the bearing such as hammer hits and running the rollers at different loads. The fiber optic sensor results agree with the measurements performed by a standard industrial high sensitivity electronic accelerometer used for comparison. Moreover, as opposed to the reference electronic sensor, the phase-OTDR proved to be insensitive to electrical disturbances present on the environment.

Place, publisher, year, edition, pages
SPIE, 2019
Keywords
Acoustic sensing, Phase-OTDR, Roller bearing, Vibration, Acoustic emission testing, Fiber optic sensors, Optical fibers, Rollers (machine components), Bearing monitoring, Electrical disturbances, Electronic sensors, Numerical aperture, Single-mode optical fiber, Roller bearings
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-40628 (URN)10.1117/12.2541266 (DOI)2-s2.0-85073345258 (Scopus ID)9781510631236 (ISBN)
Conference
7th European Workshop on Optical Fibre Sensors, EWOFS 2019, 1 October 2019 through 4 October 2019
Available from: 2019-11-25 Created: 2019-11-25 Last updated: 2019-11-25Bibliographically approved
Munoz, D. M., Franciscangelis, C., Margulis, W., Fruett, F. & Soderquist, I. (2017). Low latency disturbance detection using distributed optical fiber sensors. In: Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017: . Paper presented at 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, 16 May 2017 through 18 May 2017 (pp. 372-377).
Open this publication in new window or tab >>Low latency disturbance detection using distributed optical fiber sensors
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2017 (English)In: Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017, 2017, p. 372-377Conference paper, Published paper (Refereed)
Abstract [en]

Distributed optical fiber sensors based on phase-sensitive optical time domain reflectometry (Φ-OTDR) are feasible options to detect perturbations in kilometric security perimeters or mechanical structures. This technique takes advantage of electromagnetic interference immunity, small dimensions, lightweight, flexibility, and capability. Moreover, this technique can be combined with dedicated hardware architectures, in order to improve its performance and reliability. This work proposes the use of parallel hardware architectures to implement real-time detecting and locating perturbations in a Φ-OTDR distributed optical fiber vibration sensor. Hardware architectures of the iterative moving average filter and the Sobel filter were mapped on field programmable gate arrays, exploring the intrinsic parallelism in order to achieve real-time requirements. A performance comparison between the proposed solutions was addressed in terms of hardware cost, latency and power consumption.

Keywords
Distributed sensors, FPGAs, Hardware architectures, Optical fiber vibration sensors, Optical time-domain reflectometer (OTDR), Electromagnetic pulse, Fiber optic sensors, Fibers, Field programmable gate arrays (FPGA), Hardware, Iterative methods, Optical fibers, Reflectometers, Ventilation exhausts, Distributed optical fiber, Distributed optical fiber sensors, Distributed sensor, Hardware architecture, Optical time domain reflectometer, Optical time domain reflectometry, Performance and reliabilities, Vibration sensors, Time domain analysis
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-32499 (URN)10.1109/ICNSC.2017.8000121 (DOI)2-s2.0-85028506370 (Scopus ID)9781509044283 (ISBN)
Conference
14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, 16 May 2017 through 18 May 2017
Available from: 2017-11-09 Created: 2017-11-09 Last updated: 2019-06-27Bibliographically approved
Franciscangelis, C., Fruett, F., Margulis, W., Kjellberg, L. & Floridia, C. (2017). Real-time multiple machines sound listening using a phase-OTDR based distributed microphone. In: SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2017: . Paper presented at 17th SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2017, 27 August 2017 through 30 August 2017.
Open this publication in new window or tab >>Real-time multiple machines sound listening using a phase-OTDR based distributed microphone
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2017 (English)In: SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2017, 2017Conference paper, Published paper (Refereed)
Abstract [en]

We propose and experimentally demonstrate a spatially tunable phase-OTDR based distributed microphone for listening to the sound of multiple machines. The distributed acoustic sensing capability, allied with the real-time spatial tuning, enables listening to a drill and to a cooling water system pump placed in two different sections along a single optical fiber, one at a time. The recorded acoustic waveform profile of both machines agreed with their operating cycles. Moreover, the sounds generated by both engines are successfully distinguished with the proposed method even when both machines are operating simultaneously..

Keywords
Distributed acoustic sensing, Optical fiber microphone, Phase-OTDR, Rayleigh scattering, Acoustics, Cooling water, Microphones, Optical fibers, Water cooling systems, Acoustic sensing, Acoustic waveform, Cooling water systems, Distributed microphones, Fiber microphones, Multiple machine, Single optical fibers, Optoelectronic devices
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-35322 (URN)10.1109/IMOC.2017.8121039 (DOI)2-s2.0-85043711699 (Scopus ID)9781509062416 (ISBN)
Conference
17th SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2017, 27 August 2017 through 30 August 2017
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2019-06-27Bibliographically approved
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0137-4245

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