Optimal sensor configuration for complex systems with application to signal detection in structures

Payman Sadegh; J. C. Spall

doi:10.1109/IMTC.2000.846880

Optimal sensor configuration for complex systems with application to signal detection in structures

Payman Sadegh, J. C. Spall

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The paper considers the problem of sensor configuration for complex systems. The contribution of the paper is twofold. Firstly, we define an appropriate criterion that is based on maximizing overall sensor responses while minimizing redundant information as measured by correlations between multiple sensor outputs. Secondly, we describe an efficient and practical algorithm to achieve the optimization goals, based on simultaneous perturbation stochastic approximation (SPSA). SPSA avoids the need for detailed modeling of the sensor response by simply relying on observed responses as obtained by limited experimentation with test sensor configurations. We illustrate the application of the approach to optimal placement of acoustic sensors for signal detection in structures. This includes both a computer simulation study for an aluminum plate, and real experimentations on a steel I-beam.

Original language	English
Title of host publication	IMTC 2000. Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, 2000.
Publisher	IEEE
Publication date	2000
ISBN (Print)	0-7803-5890-2
DOIs	https://doi.org/10.1109/IMTC.2000.846880
Publication status	Published - 2000
Event	17th IEEE Instrumentation and Measurement Technology Conference - Baltimore, United States Duration: 1 May 2000 → 4 May 2000 Conference number: 17 https://ieeexplore.ieee.org/xpl/conhome/6822/proceeding

Conference

Conference	17th IEEE Instrumentation and Measurement Technology Conference
Number	17
Country/Territory	United States
City	Baltimore
Period	01/05/2000 → 04/05/2000
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6822/proceeding

Bibliographical note

Copyright 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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title = "Optimal sensor configuration for complex systems with application to signal detection in structures",

abstract = "The paper considers the problem of sensor configuration for complex systems. The contribution of the paper is twofold. Firstly, we define an appropriate criterion that is based on maximizing overall sensor responses while minimizing redundant information as measured by correlations between multiple sensor outputs. Secondly, we describe an efficient and practical algorithm to achieve the optimization goals, based on simultaneous perturbation stochastic approximation (SPSA). SPSA avoids the need for detailed modeling of the sensor response by simply relying on observed responses as obtained by limited experimentation with test sensor configurations. We illustrate the application of the approach to optimal placement of acoustic sensors for signal detection in structures. This includes both a computer simulation study for an aluminum plate, and real experimentations on a steel I-beam.",

author = "Payman Sadegh and Spall, {J. C.}",

note = "Copyright 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 17th IEEE Instrumentation and Measurement Technology Conference, IMTC 2000 ; Conference date: 01-05-2000 Through 04-05-2000",

year = "2000",

doi = "10.1109/IMTC.2000.846880",

language = "English",

isbn = "0-7803-5890-2",

booktitle = "IMTC 2000. Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, 2000.",

publisher = "IEEE",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/6822/proceeding",

}

Sadegh, P & Spall, JC 2000, Optimal sensor configuration for complex systems with application to signal detection in structures. in IMTC 2000. Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, 2000.. IEEE, 17th IEEE Instrumentation and Measurement Technology Conference, Baltimore, Maryland, United States, 01/05/2000. https://doi.org/10.1109/IMTC.2000.846880

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AU - Sadegh, Payman

AU - Spall, J. C.

N1 - Conference code: 17

PY - 2000

Y1 - 2000

N2 - The paper considers the problem of sensor configuration for complex systems. The contribution of the paper is twofold. Firstly, we define an appropriate criterion that is based on maximizing overall sensor responses while minimizing redundant information as measured by correlations between multiple sensor outputs. Secondly, we describe an efficient and practical algorithm to achieve the optimization goals, based on simultaneous perturbation stochastic approximation (SPSA). SPSA avoids the need for detailed modeling of the sensor response by simply relying on observed responses as obtained by limited experimentation with test sensor configurations. We illustrate the application of the approach to optimal placement of acoustic sensors for signal detection in structures. This includes both a computer simulation study for an aluminum plate, and real experimentations on a steel I-beam.

AB - The paper considers the problem of sensor configuration for complex systems. The contribution of the paper is twofold. Firstly, we define an appropriate criterion that is based on maximizing overall sensor responses while minimizing redundant information as measured by correlations between multiple sensor outputs. Secondly, we describe an efficient and practical algorithm to achieve the optimization goals, based on simultaneous perturbation stochastic approximation (SPSA). SPSA avoids the need for detailed modeling of the sensor response by simply relying on observed responses as obtained by limited experimentation with test sensor configurations. We illustrate the application of the approach to optimal placement of acoustic sensors for signal detection in structures. This includes both a computer simulation study for an aluminum plate, and real experimentations on a steel I-beam.

U2 - 10.1109/IMTC.2000.846880

DO - 10.1109/IMTC.2000.846880

M3 - Article in proceedings

SN - 0-7803-5890-2

BT - IMTC 2000. Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, 2000.

PB - IEEE

T2 - 17th IEEE Instrumentation and Measurement Technology Conference

Y2 - 1 May 2000 through 4 May 2000

ER -

Optimal sensor configuration for complex systems with application to signal detection in structures

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