Study on high temperature Fabry–Perot fiber acoustic sensor with temperature self-compensation

Pan, Heng; Tong, Xiaofeng; Zhao, Minli; Deng, Chengwei; Guo, Quansheng; Mao, Yan; Wang, Kun

doi:10.1117/1.oe.54.9.097104

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…There is an intermediate process of coke removal, in which high frequency signals can be detected, and the enhancement of reverberation to low frequency signals still works. The amplitude variation of the higher frequency signals in this process was proved to be linear to the thickness variation of the coke layer [12]. The thicknesses of the coke calculated by the higher frequency signal characteristics are compared with the thicknesses calculated by the reverberation model in this paper, as shown in Table 1.…”

Section: Resultsmentioning

confidence: 85%

“…The F-P sensor group contains five acoustic vibration F-P sensors, each of which converts the sound intensity of the mounting point to the feedback intensity with the same structure and performance described in [12]. The F-P sensor manufactured by our laboratory can sense the sound source from a distance of more than ten meters.…”

Section: Methodsmentioning

confidence: 99%

“…This paper presents a method for monitoring the state of hydraulic coke removal, which is divided into two stages. One stage is a conventional measurement; when the coke layer is thin, the high frequency sound vibration signals generated by the high pressure water jet impacting the coke or the drum wall surface have a mature method to be collected [12]. In this stage, the thickness of the coke layer can be analyzed using signal acquisition and frequency parameter measurement.…”

Section: Introductionmentioning

confidence: 99%

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Method for Detecting the Inside of Coke Drum Using Acoustic Signals

et al. 2017

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A distance and acoustic intensity reverberation (DAIR) physical model is developed that can be successfully applied to the signal processing of the hydraulic decoking process online monitoring. In this model, the transmission characteristics of acoustic signals generated by a moving sound source in a dynamic confined space are first analyzed using data recursion and correction according to the coordinate continuity in adjacent area and adjacent time. The results show that the nondetection zone of acoustic signals generated directly by the impact of water is eliminated, and the surface distribution of coke in the drum can be mapped in real time.

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Section: Resultsmentioning

confidence: 85%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Method for Detecting the Inside of Coke Drum Using Acoustic Signals

et al. 2017

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“…6. A tunable laser is used to keep FPI sensor head working at Q-point for maximizing the acoustic sensitivity [22]. The reflected light of the FPI sensor head through an optical circulator is detected by a photo detector (PD, New Focus 1623).…”

Section: Experiments Results and Discussionmentioning

confidence: 99%

UV Adhesive Diaphragm-Based FPI Sensor for Very-Low-Frequency Acoustic Sensing

et al. 2016

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In this paper, we propose and demonstrate a fiber-optic extrinsic Fabry-Pérot interferometer (FPI) sensor based on an ultraviolet (UV) adhesive diaphragm for verylow-frequency acoustic sensing. The sensing diaphragm is formed by the surface tension of UV adhesive solution and exhibits a good acoustic response from 1 Hz to 20 kHz. The sensor has a sensitivity of 57.3 mV/Pa at 1000 Hz and a flat frequency response ranging from 1 to 2000 Hz with a small fluctuation of about ±1.5 dB. The good response of infrasound and rather simple fabrication process make it a wonderful candidate for very-lowfrequency acoustic sensing.

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“…Nevertheless, this structure was specifically for sensing diaphragms with large areas, especially those with a diameter of over 10 mm. Then, in 2015, Pan Hu [ 21 ] designed a steel megaphone at the front of an Fabry–Perot (F-P) acoustic sensor, which showed the sensitivity of 56.99 mV/Pa at 4.5 kHz. However, the long megaphone was confined to short-distance sound detection.…”

Section: Introductionmentioning

confidence: 99%

Evaluating a Human Ear-Inspired Sound Pressure Amplification Structure with Fabry–Perot Acoustic Sensor Using Graphene Diaphragm

Xiao

Yang

et al. 2021

Nanomaterials

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In order to enhance the sensitivity of a Fabry–Perot (F-P) acoustic sensor without the need of fabricating complicated structures of the acoustic-sensitive diaphragm, a mini-type external sound pressure amplification structure (SPAS) with double 10 μm thickness E-shaped diaphragms of different sizes interconnected with a 5 mm length tapered circular rod was developed based on the acoustic sensitive mechanism of the ossicular chain in the human middle ear. The influence of thickness and Young’s modulus of the two diaphragms with the diameters of 15 mm and 3 mm, respectively, on the amplification ratio and frequency response were investigated via COMSOL acoustic field simulation, thereby confirming the dominated effect. Then, three kinds of dual-diaphragm schemes relating to steel and thermoplastic polyurethanes (TPU) materials were introduced to fabricate the corresponding SPASs. The acoustic test showed that the first scheme achieved a high resonant response frequency with lower acoustic amplification due to strong equivalent stiffness; in contrast, the second scheme offered a high acoustic amplification but reduced frequency range. As a result of sensitivity enhancement, adapted with the steel/TPU diaphragm structure, an optical fiber Fabry–Perot sensor using a multilayer graphene diaphragm with a diameter of 125 μm demonstrated a remarkable sensitivity of 565.3 mV/Pa @1.2 kHz due to the amplification ratio of up to ~29.9 in the range of 0.2–2.3 kHz, which can be further improved by miniaturizing structure dimension, along with the use of microstructure packaging technology.

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Study on high temperature Fabry–Perot fiber acoustic sensor with temperature self-compensation

Cited by 11 publications

References 11 publications

Method for Detecting the Inside of Coke Drum Using Acoustic Signals

Method for Detecting the Inside of Coke Drum Using Acoustic Signals

UV Adhesive Diaphragm-Based FPI Sensor for Very-Low-Frequency Acoustic Sensing

Evaluating a Human Ear-Inspired Sound Pressure Amplification Structure with Fabry–Perot Acoustic Sensor Using Graphene Diaphragm

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