Real Time Measurement of Airplane Flutter via Distributed Acoustic Sensing

Bakhoum, Ezzat G.; Zhang, Cheng; Cheng, Mark Ming‐Cheng

doi:10.3390/aerospace7090125

Cited by 12 publications

(11 citation statements)

References 18 publications

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“…For a typical Φ-OTDR system, as shown in Figure 1 , the vibration signal causes phase changes of backscattering light at locations detected by the photosensitive device [ 25 ]. The locations of the vibration signals are determined by the return time of the backscattering light.…”

Section: Methodsmentioning

confidence: 99%

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Aircraft Detection Using Phase-Sensitive Optical-Fiber OTDR

Cai

Yan

et al. 2021

Sensors

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Aircraft detection plays a vital role in aviation management and safe operation in the aviation system. Phase-Sensitive Optical Time Domain Reflectometry (Φ-OTDR) technology is a prevailing sensing method in geophysics research, structure inspection, transportation detection, etc. Compared with existing video- or radio-based detection methods, Φ-OTDR is cost-effective, suitable for long-distance detection, and resistant to severe weather conditions. We present a detection system using Φ-OTDR technology and analyze the character of the acoustic signal of aircraft. Instead of runway monitoring in the airport or noise detection in the air, this study focuses on the detection of seismic vibration signal excited by the sound of aircraft. The Chebyshev filter is adopted to eliminate the impact of background noise and random noise from the original vibration signal; the short-time Fourier transform is used for time-frequency analysis. The experimental results showed that the seismic vibration signal excited by the aircraft sound is mainly low-frequency, which is under 5 Hz. Time delay of aircraft vibration signal in different locations of the optic fiber is recorded by the sensing system. The Doppler effect is also revealed by the time-domain analysis: the frequency increases when the aircraft is approaching and decreases when the aircraft moves away.

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Section: Methodsmentioning

confidence: 99%

“…Carcia Merlo [ 19 ] proposed ground-based distributed optical fiber sensors to detect the position and movement of airplanes. Bakhoum [ 25 ] used the distributed acoustic sensing for the monitoring and measurement of airplane flutter. These works demonstrated the feasibility of DAS to detect the airplane.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Detection Using Phase-Sensitive Optical-Fiber OTDR

Cai

Yan

et al. 2021

Sensors

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“…There are control options for external sensor placement, as this is easier to implement. In [ 106 ], DAS measurements were carried out on a Boeing 747 in 1/26 scale in a wind tunnel. The natural vibrations of the aircraft structure ( Figure 11 ) were measured with the frequencies of 5.1 Hz and 7.8 Hz, which coincided with the values measured by the traditional (accelerometers and strain gauges) sensors.…”

Section: Das In the Engineering Sciences (Andrey A Zhirnov And Konsta...mentioning

confidence: 99%

“… The used DAS-system ( a ) and the locations of accelerometers and strain gauges on the surface of the wing ( b ) for the verification of flutter frequencies. Adapted from [ 106 ]. …”

Section: Figurementioning

confidence: 99%

Scientific Applications of Distributed Acoustic Sensing: State-of-the-Art Review and Perspective

Gorshkov

Yüksel

Fotiadi

et al. 2022

Sensors

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This work presents a detailed review of the development of distributed acoustic sensors (DAS) and their newest scientific applications. It covers most areas of human activities, such as the engineering, material, and humanitarian sciences, geophysics, culture, biology, and applied mechanics. It also provides the theoretical basis for most well-known DAS techniques and unveils the features that characterize each particular group of applications. After providing a summary of research achievements, the paper develops an initial perspective of the future work and determines the most promising DAS technologies that should be improved.

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“…buildings, pipelines, railway or airplanes), the recording of active and passive seismic sources for seismological and exploration geophysical application (e.g. earthquake detection or vertical seismic profiling; VSP), the monitoring of volcanic unrest and permafrost thaw, and the monitoring of urban traffic (Mateeva et al 2012;Ajo-Franklin et al 2017;Dou et al 2017;Jousset et al 2018;Bakhoum et al 2020;Flóvenz et al 2022;Tejedor et al 2021;Gorshkov et al 2022). Handling, organizing and exploring the vast amount of collected seismic data from a single measurement campaign can be a challenge for the established seismological workflow.…”

Section: Introductionmentioning

confidence: 99%

De-noising distributed acoustic sensing data using an adaptive frequency–wavenumber filter

Isken

Vasyura‐Bathke

Dahm

et al. 2022

Geophysical Journal International

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Summary Data recorded by distributed acoustic sensing (DAS) along an optical fiber sample the spatial and temporal properties of seismic wavefields at high spatial density. Often leading to massive amount of data when collected for seismic monitoring along many kilometer long cables. The spatially coherent signals from weak seismic arrivals within the data are often obscured by incoherent noise. We present a flexible and computationally efficient filtering technique, which makes use of the dense spatial and temporal sampling of the data and that can handle the large amount of data. The presented adaptive frequency-wavenumber filter suppresses the incoherent seismic noise while amplifying the coherent wave field. We analyse the response of the filter in time and spectral domain, and we demonstrate its performance on a noisy data set that was recorded in a vertical borehole observatory showing active and passive seismic phase arrivals. Lastly, we present a performant open-source software implementation enabling real-time filtering of large DAS data sets.

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Real Time Measurement of Airplane Flutter via Distributed Acoustic Sensing

Cited by 12 publications

References 18 publications

Aircraft Detection Using Phase-Sensitive Optical-Fiber OTDR

Aircraft Detection Using Phase-Sensitive Optical-Fiber OTDR

Scientific Applications of Distributed Acoustic Sensing: State-of-the-Art Review and Perspective

De-noising distributed acoustic sensing data using an adaptive frequency–wavenumber filter

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