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| Title: | Demodulation of fiber-optic sensors for frequency response measurement | |
| Author (s): | Abdi, Abdeq M. Watkins, Steve E. | |
| Department/Lab Affiliations: | Applied Optics Laboratory Center for Infrastructure Engineering Studies Electrical and Computer Engineering University Transportation Center | |
| Keywords: | fiber-optic strain sensors modal testing neural networks | |
| Subject Terms: | Smart structures. | |
| Issue Date: | 2007 | |
| Publisher: | Institute of Electrical and Electronics Engineers IEEE | |
| Citation: | Abdi, A.M. and Watkins, S.E. “Demodulation of Fiber-Optic Sensors for Frequency Response Measurement.” IEEE Sensors Journal, vol. 7, no. 5, pp. 667-676, 2007. | |
| Abstract: | The neural-network-based processing of extrinsic Fabry-Perot interferometric (EFPI) strain sensors was investigated for the special case of sinusoidal strain. The application area is modal or cyclic testing of structures in which the frequency response to periodic actuation must be demodulated. The nonlinear modulation characteristic of EFPI sensors produces well-defined harmonics of the actuation frequency. Relationships between peak strain and harmonic content were analyzed theoretically. A two-stage demodulator was implemented with a Fourier series neural network to separate the harmonic components of an EFPI signal and a backpropagation neural network to predict the peak-to-peak strain from the harmonics. The system performance was tested using theoretical and experimental data. The error for high-strain cases was less than about 10% if at least 12 harmonics were used. The frequency response of an instrumented cantilever beam provided the experimental data. The demodulator processing closely matched the actual strain levels. | |
| Type: | Article - Journal text | |
| In Title: | IEEE Sensors Journal | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. allows publisher's final version to be uploaded FULL COPYRIGHT INFORMATION: | |
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| title | Demodulation of fiber-optic sensors for frequency response measurement | |
| contributor.author | Abdi, Abdeq M. | |
| contributor.author | Watkins, Steve E. | |
| contributor.deptlab | Applied Optics Laboratory | |
| contributor.deptlab | Center for Infrastructure Engineering Studies | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | University Transportation Center | |
| subject | fiber-optic strain sensors | |
| subject | modal testing | |
| subject | neural networks | |
| subject.LCSH | Smart structures. | |
| date.issued | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers IEEE | |
| identifier.citation | Abdi, A.M. and Watkins, S.E. “Demodulation of Fiber-Optic Sensors for Frequency Response Measurement.” IEEE Sensors Journal, vol. 7, no. 5, pp. 667-676, 2007. | |
| identifier.pub.URI | ||
| description.abstract | The neural-network-based processing of extrinsic Fabry-Perot interferometric (EFPI) strain sensors was investigated for the special case of sinusoidal strain. The application area is modal or cyclic testing of structures in which the frequency response to periodic actuation must be demodulated. The nonlinear modulation characteristic of EFPI sensors produces well-defined harmonics of the actuation frequency. Relationships between peak strain and harmonic content were analyzed theoretically. A two-stage demodulator was implemented with a Fourier series neural network to separate the harmonic components of an EFPI signal and a backpropagation neural network to predict the peak-to-peak strain from the harmonics. The system performance was tested using theoretical and experimental data. The error for high-strain cases was less than about 10% if at least 12 harmonics were used. The frequency response of an instrumented cantilever beam provided the experimental data. The demodulator processing closely matched the actual strain levels. | |
| type | Article - Journal | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights | allows publisher's final version to be uploaded | |
| rights.URI | ||
| rights.URI | ||
| rights.URI | ||
| relation.isPartOf | IEEE Sensors Journal | |
| date.accessioned | 2008-07-23T16:40:06Z | |
| date.available | 2008-07-31T20:16:39Z | |
| identifier.persist.URI | ||
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