Experimental Study of Acoustic Noise Correlation Technique for Passive Monitoring of Rails

Sadoudi, Laid; Moulin, Emmanuel; Assaad, Jamal; Benmeddour, Farouk; Bocquet, Michaël; Hillali, Yassin El

doi:10.4236/msa.2016.712065

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Theoretical and experimental studies in several areas [25][26][27][28], have shown that the active acoustic signal between two measurement points can be passively estimated from the time derivative of the correlation function of the signal recorded at those points.…”

Section: Passive Detection Methodsmentioning

confidence: 99%

ZigBee Sensor Network Platform for Health Monitoring of Rails Using Ambient Noise Correlation

Sadoudi¹,

Bocquet²,

Moulin³

et al. 2017

JEE

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WSNs (wireless sensor networks) can be used for railway infrastructure inspection and vehicle health monitoring. SHM (structural health monitoring) systems have a great potential to improve regular operation, security and maintenance routine of structures with estimating the state of its health and detecting the changes that affect its performance. This is vital for the development, upgrading, and expansion of railway networks. The work presented in this paper aims at the possible use of acoustic sensors coupled with ZigBee modules for health monitoring of rails. The detection principle is based on acoustic noise correlation techniques. Experiments have been performed in a rail sample to confirm the validity of acoustic noise correlation techniques in the rail. A wireless communication platform prototype based on the ZigBee/IEEE 802.15.4 technology has been implemented and deployed on a rail sample. Once the signals from the structure are collected, sensor data are transmitted through a ZigBee solution to the processing unit.

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Section: Passive Detection Methodsmentioning

confidence: 99%

ZigBee Sensor Network Platform for Health Monitoring of Rails Using Ambient Noise Correlation

Sadoudi¹,

Bocquet²,

Moulin³

et al. 2017

JEE

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“…Passive ultrasonic sensing has gained much attention in several fields including underwater acoustics [1][2][3], seismology [4][5][6][7], seismic interferometry for dynamic identification of civil structure [6,[8][9][10][11][12][13], as well as SHM and NDT for defect detection [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. These applications stemmed from the seminal work of Lobkis and Weaver [28] who demonstrated that if a closed or open system is excited by a diffuse wave field (e.g.…”

Section: Introductionmentioning

confidence: 99%

Passive ultrasonic sensing for NDT and SHM

Lanza di Scalea,

Huang,

Zare Hosseinzadeh

2024

Health Monitoring of Structural and Biological Systems XVIII

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This keynote presentation will cover passive methods for ultrasonic NDT and SHM. These methods apply to cases where the test structure is subjected to uncontrolled excitations (such as from ambient loads) or to a limited number of controlled excitations. In these cases, proper analysis of the reception signals can reveal surprisingly accurate information from array analysis, such as imaging of internal defects. The effort here is to obtain as much information as possible from the receiver signals while exploiting at a minimum the excitation signals in the beamforming process. Examples will be shown for NDT imaging of holes in an aluminum block via plane-wave beamforming and SHM of a composite wind turbine blade via Matched-Field Processing imaging.

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Passive Extraction of Dynamic Transfer Function From Arbitrary Ambient Excitations: Application to High-Speed Rail Inspection From Wheel-Generated Waves

Scalea

Zhu

Capriotti

et al. 2017

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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The general topic of this paper is the passive reconstruction of an acoustic transfer function from an unknown, generally nonstationary excitation. As recently shown in a study of building response to ground shaking, the paper demonstrates that, for a linear system subjected to an unknown excitation, the deconvolution operation between two receptions leads to the Green's function between the two reception points that is independent of the excitation. This is in contrast to the commonly used cross-correlation operation for passive reconstruction of the Green's function, where the result is always filtered by the source energy spectrum (unless it is opportunely normalized in a manner that makes it equivalent to a deconvolution). This concept is then applied to high-speed ultrasonic inspection of rails by passively reconstructing the rail's transfer function from the excitations naturally caused by the rolling wheels of a moving train. A first-generation prototype based on this idea was engineered using noncontact air-coupled sensors, mounted underneath a test railcar, and field tested at speeds up to 80 mph at the Transportation Technology Center (TTC), Pueblo, CO. This is the first demonstration of passive inspection of rails from train wheel excitations and, to the authors' knowledge, the first attempt ever made to ultrasonically inspect the rail at speeds above ∼30 mph (that is the maximum speed of common rail ultrasonic inspection vehicles). Once fully developed, this novel concept could enable regular trains to perform the inspections without any traffic disruption and with great redundancy.

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Experimental Study of Acoustic Noise Correlation Technique for Passive Monitoring of Rails

Cited by 3 publications

References 18 publications

ZigBee Sensor Network Platform for Health Monitoring of Rails Using Ambient Noise Correlation

ZigBee Sensor Network Platform for Health Monitoring of Rails Using Ambient Noise Correlation

Passive ultrasonic sensing for NDT and SHM

Passive Extraction of Dynamic Transfer Function From Arbitrary Ambient Excitations: Application to High-Speed Rail Inspection From Wheel-Generated Waves

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