A method for environmental acoustic analysis improvement based on individual evaluation of common sources in urban areas

Lopez-Pacheco, Maria G.; Sánchez-Fernández, Luis Pastor; Molina-Lozano, Herón

doi:10.1016/j.scitotenv.2013.08.085

Cited by 13 publications

(2 citation statements)

References 31 publications

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“…where ε is the sensitivity of the photodetector, α represents the losses on the interferometer, I 0 is the medium signal value, φ d is the changing phase shift, φ s is the duration of the amplitude, and ω symbolizes the frequencies applied to the sensing arm of the interferometer [38][39][40][41][42]. The monitoring application (PC) for vehicle detection and frequency analysis measurement was developed in LabVIEW (2015, National Instruments, Austin, TX, USA).…”

Section: Fiber-optic Interferometry and Signal Processingmentioning

confidence: 99%

Use of Fiber-Optic Sensors for the Detection of the Rail Vehicles and Monitoring of the Rock Mass Dynamic Response Due to Railway Rolling Stock for the Civil Engineering Needs

et al. 2019

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The paper describes the original results of a comparative study of the standard seismic station vs. a novel interferometric sensor for civil engineering needs. The presented results showed that to implement seismic measurements using standard seismic stations, a method using a fiber optic interferometer may serve as an alternative. We presented time records and the frequency spectra obtained from experimental measurements of the dynamic response of the upper rock mass beneath passing tram vehicles (a total of 769 passes) over a period of five months of practical measurements under various climatic conditions. The fiber-optic sensor detected all phenomena at a 100% rate, and the recorded results were compared to the results from a standard seismic station. Both sets of results were recorded simultaneously and agreed significantly, especially in terms of frequency. With regard to time, all tram vehicle axles were detected in individual time records. With regard to frequency, the results detected in the bandwidth generally correlated to rail transport for individual types of tram vehicles.

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Section: Fiber-optic Interferometry and Signal Processingmentioning

confidence: 99%

Use of Fiber-Optic Sensors for the Detection of the Rail Vehicles and Monitoring of the Rock Mass Dynamic Response Due to Railway Rolling Stock for the Civil Engineering Needs

et al. 2019

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“…Basic idea of detection of vehicles by the fiber-optic interferometric sensor.Car or train motions cause a response consisting of low frequencies ( ω ) ranging from units to tens of Hz[26][27][28]. This vibrational and acoustic response affects the interferometric sensor fiber and causes a change in the optical arm length (the product of refractive index n and geometric length L).…”

mentioning

confidence: 99%

Fiber-optic interferometric sensor for monitoring automobile and rail traffic

Nedoma¹,

Fajkus²,

Kahánková³

et al. 2018

Turk J Elec Eng & Comp Sci

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This article describes a fiber-optic interferometric sensor and measuring scheme including input-output components for traffic density monitoring. The proposed measuring system is based on the interference in optical fibers. The sensor, based on the Mach-Zehnder interferometer, is constructed to detect vibration and acoustic responses caused by vehicles moving around the sensor. The presented solution is based on the use of single-mode optical fibers (G.652.D and G.653) with wavelength of 1550 nm and laser source with output power of 1 mW. The benefit of this solution lies in electromagnetic interference immunity and simple implementation because the sensor does not need to be installed destructively into the roadway and railroad tracks. The measuring system was tested in real traffic and is characterized by detection success of 99.27% in the case of automotive traffic and 100% in the case of rail traffic.

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Predominant environmental noise classification over sound mixing based on source-specific dictionary

et al. 2016

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A method for environmental acoustic analysis improvement based on individual evaluation of common sources in urban areas

Cited by 13 publications

References 31 publications

Use of Fiber-Optic Sensors for the Detection of the Rail Vehicles and Monitoring of the Rock Mass Dynamic Response Due to Railway Rolling Stock for the Civil Engineering Needs

Use of Fiber-Optic Sensors for the Detection of the Rail Vehicles and Monitoring of the Rock Mass Dynamic Response Due to Railway Rolling Stock for the Civil Engineering Needs

Fiber-optic interferometric sensor for monitoring automobile and rail traffic

Predominant environmental noise classification over sound mixing based on source-specific dictionary

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