Novel data processing techniques for dispersive white light interferometer

Qi, Bing; Pickrell, Gary; Xu, Juntao; Zhang, Po; Duan, Yuhong; Peng, Wei; Huo, Zhenyu; Xiao, Hai; May, Russell G.; Wang, Anbo

doi:10.1117/1.1613958

Cited by 142 publications

(69 citation statements)

References 10 publications

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“…As a result, the contribution to the total mode profile by each mode can be described as , and the total field profile at R 1 can be expressed as: can be expressed by 21 OPD OPD OPD    . The total reflected spectrum can be expressed as…”

Section: Sensor Signal Processingmentioning

confidence: 99%

“…This interference spectrum is represented by S(k)  cos[Φ(k)], where k=2π/λ is the optical wavenumber, λ is the wavelength, Φ(k) is the total interferogram phase which is expressed as Φ(k) = k  OPD + φ 0 , where φ 0 is an additional phase term caused by beam reflection and propagation [19,24]. In traditional OPD-based demodulation, the additional phase term φ 0 is usually assumed to be constant during measurement process and needs to be pre-calibrated [21,22]. However, physical changes in IFPI sensors can cause this term to vary during measurement (as discussed in Section 3.3.1, and in Ref [19,24] The SMS-IFPI sensors were typically interrogated using a swept-laser interrogation system (Micron Optics Si-720) over a spectral range of 1520-1570nm with spectral resolution of 2.5pm, dynamic range of 70dB, and a scanning rate of 0.5Hz.…”

Section: Sensor Signal Processing and The Total Phase Approachmentioning

confidence: 99%

“…However, physical changes in IFPI sensors can cause this term to vary during measurement (as discussed in Section 3.3.1, and in Ref [19,24] The SMS-IFPI sensors were typically interrogated using a swept-laser interrogation system (Micron Optics Si-720) over a spectral range of 1520-1570nm with spectral resolution of 2.5pm, dynamic range of 70dB, and a scanning rate of 0.5Hz. Each collected spectrum was subsequently processed using a peak tracking method, in which local curve fitting is used to identify the exact locations of every fringe peak in the interferogram, and their corresponding fringe orders are determined to measure OPD [20, 21,23]. The additional phase term φ 0 is assumed to be constant in this algorithm [21].…”

Section: Sensor Signal Processing and The Total Phase Approachmentioning

confidence: 99%

“…Non-constant phase-induced OPD demodulation jumps To interrogate a low-finesse FP sensor, the phase of the periodic fringe pattern is measured at either a fraction or all of the sampling points in the spectrogram [20,21,22,23]. This interference spectrum is represented by S(k)  cos[Φ(k)], where k=2π/λ is the optical wavenumber, λ is the wavelength, Φ(k) is the total interferogram phase which is expressed as Φ(k) = k  OPD + φ 0 , where φ 0 is an additional phase term caused by beam reflection and propagation [19,24].…”

Section: Sensor Signal Processing and The Total Phase Approachmentioning

confidence: 99%

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Multiplexed Optical Fiber Sensors for Coal Fired Advanced Fossil Energy Systems

Wang¹,

Pickrell²

2012

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This three-year project started on October 1, 2008. In the project, a fiber optical sensing system based on intrinsic Fabry-Perot Interferometer (IFPI) was developed for strain and temperature measurements for Ultra Supercritical boiler condition assessment. Investigations were focused on sensor design, fabrication, attachment techniques and novel materials for high temperature and strain measurements.At the start of the project, the technical requirements for the sensing technology were determined together with our industrial partner Alstom Power. As is demonstrated in Chapter 4, all the technical requirements are successfully met. The success of the technology extended beyond laboratory test; its capability was further validated through the field test at DOE NETL, in which the sensors yielded distributed temperature mapping of a testing coupon installed in the turbine test rig. The measurement results agreed well with prior results generated with thermocouples.In this project, significant improvements were made to the IFPI sensor technology by splicing condition optimization, transmission loss reduction, sensor signal demodulation and sensor system design. These innovations have yielded three journal publications and two conference papers.

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Section: Sensor Signal Processingmentioning

confidence: 99%

Section: Sensor Signal Processing and The Total Phase Approachmentioning

confidence: 99%

Section: Sensor Signal Processing and The Total Phase Approachmentioning

confidence: 99%

Section: Sensor Signal Processing and The Total Phase Approachmentioning

confidence: 99%

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Multiplexed Optical Fiber Sensors for Coal Fired Advanced Fossil Energy Systems

Wang¹,

Pickrell²

2012

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“…And RI sensing can be realized by demodulating the optical path difference (OPD) when the analyte enters the cavity. Many signal processing methods have been presented for OPD demodulation such as peak wavelength tracing [17], peak-to-peak method [18], and fast Fourier transform (FFT) [19]. The extrinsic fiber FPI can provide a relatively high sensitivity.…”

Section: Introductionmentioning

confidence: 99%

HCPCF-based in-line fiber Fabry-Perot refractometer and high sensitivity signal processing method

et al. 2017

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An in-line fiber Fabry-Perot interferometer (FPI) based on the hollow-core photonic crystal fiber (HCPCF) for refractive index (RI) measurement is proposed in this paper. The FPI is formed by splicing both ends of a short section of the HCPCF to single mode fibers (SMFs) and cleaving the SMF pigtail to a proper length. The RI response of the sensor is analyzed theoretically and demonstrated experimentally. The results show that the FPI sensor has linear response to external RI and good repeatability. The sensitivity calculated from the maximum fringe contrast is -136 dB/RIU. A new spectrum differential integration (SDI) method for signal processing is also presented in this study. In this method, the RI is obtained from the integrated intensity of the absolute difference between the interference spectrum and its smoothed spectrum. The results show that the sensitivity obtained from the integrated intensity is about -1.34× 10 5 dB/RIU. Compared with the maximum fringe contrast method, the new SDI method can provide the higher sensitivity, better linearity, improved reliability, and accuracy, and it's also convenient for automatic and fast signal processing in real-time monitoring of RI.

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