Invariance algorithms for nondestructive evaluation

S. A. Mandayam

Invariance algorithms for nondestructive evaluation

S. A. Mandayam

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

A new class of invariant pattern recognition algorithms is required for interpreting nondestructive evaluation signals that occur during in-line inspection of components with varying material properties. This paper presents the theoretical development of these invariance algorithms and provides experimental validation of these algorithms using applications in magnetic flux leakage NDE and ultrasound NDE.

Original language	English (US)
Pages (from-to)	3397-3400
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	6
State	Published - 2001
Event	2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: May 7 2001 → May 11 2001

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

@article{c02174fe4fcf44448804b207a1df7082,

title = "Invariance algorithms for nondestructive evaluation",

abstract = "A new class of invariant pattern recognition algorithms is required for interpreting nondestructive evaluation signals that occur during in-line inspection of components with varying material properties. This paper presents the theoretical development of these invariance algorithms and provides experimental validation of these algorithms using applications in magnetic flux leakage NDE and ultrasound NDE.",

author = "Mandayam, {S. A.}",

year = "2001",

language = "English (US)",

volume = "6",

pages = "3397--3400",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2001 IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 07-05-2001 Through 11-05-2001",

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T1 - Invariance algorithms for nondestructive evaluation

AU - Mandayam, S. A.

PY - 2001

Y1 - 2001

N2 - A new class of invariant pattern recognition algorithms is required for interpreting nondestructive evaluation signals that occur during in-line inspection of components with varying material properties. This paper presents the theoretical development of these invariance algorithms and provides experimental validation of these algorithms using applications in magnetic flux leakage NDE and ultrasound NDE.

AB - A new class of invariant pattern recognition algorithms is required for interpreting nondestructive evaluation signals that occur during in-line inspection of components with varying material properties. This paper presents the theoretical development of these invariance algorithms and provides experimental validation of these algorithms using applications in magnetic flux leakage NDE and ultrasound NDE.

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M3 - Conference article

AN - SCOPUS:0034848153

SN - 0736-7791

VL - 6

SP - 3397

EP - 3400

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 7 May 2001 through 11 May 2001

ER -

Invariance algorithms for nondestructive evaluation

Abstract

All Science Journal Classification (ASJC) codes

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Virtual Reality Lab

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Invariance algorithms for nondestructive evaluation

Abstract

All Science Journal Classification (ASJC) codes

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Fingerprint

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Virtual Reality Lab

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