Real time extraction of TOA from overlapped AE waves

Avik Kumar Das; Christopher K.Y. Leung

doi:10.12783/shm2019/32098

Real time extraction of TOA from overlapped AE waves

Avik Kumar Das, Christopher K.Y. Leung

Department of Civil and Environmental Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

Time of Arrival (TOA) detection is essential successful Acoustic Emission (AE) based structural health monitoring (SHM) system. During high burst rate results AE waves could overlap. AE waves shows similar narrowband, low frequency content thus overlapping of AE waves leads to overlap in both in time and frequency. As a result, the TOA information is lost in the coda of the previous wave and cannot be (reliably) detected by conventional techniques. In this paper, the problem was addressed through creation of a) Wave (Overlapping) Identification (WI) b) Wave Cleaning (WC) c) Arrival Detection (AD) approaches. In this paper, specifically the Wave Detection and Wave Cleaning approaches are introduced and described in detail. 3D Fingerprinting is meticulously designed to exploit wave arrival characteristics thus autogenously identifying the overlapping of waves for completing the WI system. Positive identification activates Wave Cleaning system which eradicates the influence of the Intersecting Wave using adaptive spectral subtraction (ASpS). Post removal of the TOA for the Intersected Wave was identified.

Original language	English
Title of host publication	Structural Health Monitoring 2019
Subtitle of host publication	Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Editors	Fu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
Publisher	DEStech Publications Inc.
Pages	57-64
Number of pages	8
ISBN (Electronic)	9781605956015
DOIs	https://doi.org/10.12783/shm2019/32098
Publication status	Published - 2019
Event	12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States Duration: 10 Sept 2019 → 12 Sept 2019

Publication series

Name	Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume	1

Conference

Conference	12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/Territory	United States
City	Stanford
Period	10/09/19 → 12/09/19

Bibliographical note

Publisher Copyright:
© International Workshop on Structural Health Monitoring. All rights reserved.

Access to Document

10.12783/shm2019/32098

Cite this

Das, A. K., & Leung, C. K. Y. (2019). Real time extraction of TOA from overlapped AE waves. In F.-K. Chang, A. Guemes, & F. Kopsaftopoulos (Eds.), Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring (pp. 57-64). (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring; Vol. 1). DEStech Publications Inc.. https://doi.org/10.12783/shm2019/32098

Das, Avik Kumar ; Leung, Christopher K.Y. / Real time extraction of TOA from overlapped AE waves. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. editor / Fu-Kuo Chang ; Alfredo Guemes ; Fotis Kopsaftopoulos. DEStech Publications Inc., 2019. pp. 57-64 (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring).

@inproceedings{41f7ea23c4da403fbeaa874afc8ab816,

title = "Real time extraction of TOA from overlapped AE waves",

abstract = "Time of Arrival (TOA) detection is essential successful Acoustic Emission (AE) based structural health monitoring (SHM) system. During high burst rate results AE waves could overlap. AE waves shows similar narrowband, low frequency content thus overlapping of AE waves leads to overlap in both in time and frequency. As a result, the TOA information is lost in the coda of the previous wave and cannot be (reliably) detected by conventional techniques. In this paper, the problem was addressed through creation of a) Wave (Overlapping) Identification (WI) b) Wave Cleaning (WC) c) Arrival Detection (AD) approaches. In this paper, specifically the Wave Detection and Wave Cleaning approaches are introduced and described in detail. 3D Fingerprinting is meticulously designed to exploit wave arrival characteristics thus autogenously identifying the overlapping of waves for completing the WI system. Positive identification activates Wave Cleaning system which eradicates the influence of the Intersecting Wave using adaptive spectral subtraction (ASpS). Post removal of the TOA for the Intersected Wave was identified.",

author = "Das, \{Avik Kumar\} and Leung, \{Christopher K.Y.\}",

note = "Publisher Copyright: {\textcopyright} International Workshop on Structural Health Monitoring. All rights reserved.; 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 ; Conference date: 10-09-2019 Through 12-09-2019",

year = "2019",

doi = "10.12783/shm2019/32098",

language = "English",

series = "Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring",

publisher = "DEStech Publications Inc.",

pages = "57--64",

editor = "Fu-Kuo Chang and Alfredo Guemes and Fotis Kopsaftopoulos",

booktitle = "Structural Health Monitoring 2019",

}

Das, AK & Leung, CKY 2019, Real time extraction of TOA from overlapped AE waves. in F-K Chang, A Guemes & F Kopsaftopoulos (eds), Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, vol. 1, DEStech Publications Inc., pp. 57-64, 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019, Stanford, United States, 10/09/19. https://doi.org/10.12783/shm2019/32098

Real time extraction of TOA from overlapped AE waves. / Das, Avik Kumar; Leung, Christopher K.Y.
Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. ed. / Fu-Kuo Chang; Alfredo Guemes; Fotis Kopsaftopoulos. DEStech Publications Inc., 2019. p. 57-64 (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring; Vol. 1).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Real time extraction of TOA from overlapped AE waves

AU - Das, Avik Kumar

AU - Leung, Christopher K.Y.

PY - 2019

Y1 - 2019

N2 - Time of Arrival (TOA) detection is essential successful Acoustic Emission (AE) based structural health monitoring (SHM) system. During high burst rate results AE waves could overlap. AE waves shows similar narrowband, low frequency content thus overlapping of AE waves leads to overlap in both in time and frequency. As a result, the TOA information is lost in the coda of the previous wave and cannot be (reliably) detected by conventional techniques. In this paper, the problem was addressed through creation of a) Wave (Overlapping) Identification (WI) b) Wave Cleaning (WC) c) Arrival Detection (AD) approaches. In this paper, specifically the Wave Detection and Wave Cleaning approaches are introduced and described in detail. 3D Fingerprinting is meticulously designed to exploit wave arrival characteristics thus autogenously identifying the overlapping of waves for completing the WI system. Positive identification activates Wave Cleaning system which eradicates the influence of the Intersecting Wave using adaptive spectral subtraction (ASpS). Post removal of the TOA for the Intersected Wave was identified.

AB - Time of Arrival (TOA) detection is essential successful Acoustic Emission (AE) based structural health monitoring (SHM) system. During high burst rate results AE waves could overlap. AE waves shows similar narrowband, low frequency content thus overlapping of AE waves leads to overlap in both in time and frequency. As a result, the TOA information is lost in the coda of the previous wave and cannot be (reliably) detected by conventional techniques. In this paper, the problem was addressed through creation of a) Wave (Overlapping) Identification (WI) b) Wave Cleaning (WC) c) Arrival Detection (AD) approaches. In this paper, specifically the Wave Detection and Wave Cleaning approaches are introduced and described in detail. 3D Fingerprinting is meticulously designed to exploit wave arrival characteristics thus autogenously identifying the overlapping of waves for completing the WI system. Positive identification activates Wave Cleaning system which eradicates the influence of the Intersecting Wave using adaptive spectral subtraction (ASpS). Post removal of the TOA for the Intersected Wave was identified.

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UR - https://www.scopus.com/pages/publications/85074385774

U2 - 10.12783/shm2019/32098

DO - 10.12783/shm2019/32098

M3 - Conference Paper published in a book

T3 - Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring

SP - 57

EP - 64

BT - Structural Health Monitoring 2019

A2 - Chang, Fu-Kuo

A2 - Guemes, Alfredo

A2 - Kopsaftopoulos, Fotis

PB - DEStech Publications Inc.

T2 - 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019

Y2 - 10 September 2019 through 12 September 2019

ER -

Das AK, Leung CKY. Real time extraction of TOA from overlapped AE waves. In Chang FK, Guemes A, Kopsaftopoulos F, editors, Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. DEStech Publications Inc. 2019. p. 57-64. (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring). doi: 10.12783/shm2019/32098

Real time extraction of TOA from overlapped AE waves

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