Neural networks with NARX structure for material lifetime assessment application

Mas Irfan P. Hidayat; Puteri Sri Melor M. Yusoff; Wajan Berata

doi:10.1109/ISCI.2011.5958926

Neural networks with NARX structure for material lifetime assessment application

Mas Irfan P. Hidayat^*, Puteri Sri Melor M. Yusoff, Wajan Berata

^*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

In the present paper, neural networks (NN) with non-linear auto-regressive exogenous inputs (NARX) structure is developed and further applied for material lifetime assessment application. Rational of the use of the NARX structure in the application was emphasized and linked to the concept of constant life diagram (CLD), the well known concept in fatigue of material analysis and design. Fatigue life assessment was then performed and realized as one-step ahead prediction with respect to each stress level corresponding to stress ratio values arranged in such a way that transition took place from a fatigue region to another one in the CLD. As a result, material lifetime assessment can be fashioned for a wide spectrum of loading in an efficient manner. The simulation results for different materials and loading situations are presented and discussed.

Original language	English
Title of host publication	ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics
Pages	273-278
Number of pages	6
DOIs	https://doi.org/10.1109/ISCI.2011.5958926
Publication status	Published - 2011
Event	2011 IEEE Symposium on Computers and Informatics, ISCI 2011 - Kuala Lumpur, Malaysia Duration: 20 Mar 2011 → 22 Mar 2011

Publication series

Name	ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics

Conference

Conference	2011 IEEE Symposium on Computers and Informatics, ISCI 2011
Country/Territory	Malaysia
City	Kuala Lumpur
Period	20/03/11 → 22/03/11

Keywords

CLD
Lifetime Assessment
NARX
Neural Networks

Access to Document

10.1109/ISCI.2011.5958926

Cite this

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title = "Neural networks with NARX structure for material lifetime assessment application",

abstract = "In the present paper, neural networks (NN) with non-linear auto-regressive exogenous inputs (NARX) structure is developed and further applied for material lifetime assessment application. Rational of the use of the NARX structure in the application was emphasized and linked to the concept of constant life diagram (CLD), the well known concept in fatigue of material analysis and design. Fatigue life assessment was then performed and realized as one-step ahead prediction with respect to each stress level corresponding to stress ratio values arranged in such a way that transition took place from a fatigue region to another one in the CLD. As a result, material lifetime assessment can be fashioned for a wide spectrum of loading in an efficient manner. The simulation results for different materials and loading situations are presented and discussed.",

keywords = "CLD, Lifetime Assessment, NARX, Neural Networks",

author = "Hidayat, {Mas Irfan P.} and Yusoff, {Puteri Sri Melor M.} and Wajan Berata",

year = "2011",

doi = "10.1109/ISCI.2011.5958926",

language = "English",

isbn = "9781612846903",

series = "ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics",

pages = "273--278",

booktitle = "ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics",

note = "2011 IEEE Symposium on Computers and Informatics, ISCI 2011 ; Conference date: 20-03-2011 Through 22-03-2011",

}

Hidayat, MIP, Yusoff, PSMM & Berata, W 2011, Neural networks with NARX structure for material lifetime assessment application. in ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics., 5958926, ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics, pp. 273-278, 2011 IEEE Symposium on Computers and Informatics, ISCI 2011, Kuala Lumpur, Malaysia, 20/03/11. https://doi.org/10.1109/ISCI.2011.5958926

Neural networks with NARX structure for material lifetime assessment application. / Hidayat, Mas Irfan P.; Yusoff, Puteri Sri Melor M.; Berata, Wajan.
ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics. 2011. p. 273-278 5958926 (ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics).

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

TY - GEN

T1 - Neural networks with NARX structure for material lifetime assessment application

AU - Hidayat, Mas Irfan P.

AU - Yusoff, Puteri Sri Melor M.

AU - Berata, Wajan

PY - 2011

Y1 - 2011

N2 - In the present paper, neural networks (NN) with non-linear auto-regressive exogenous inputs (NARX) structure is developed and further applied for material lifetime assessment application. Rational of the use of the NARX structure in the application was emphasized and linked to the concept of constant life diagram (CLD), the well known concept in fatigue of material analysis and design. Fatigue life assessment was then performed and realized as one-step ahead prediction with respect to each stress level corresponding to stress ratio values arranged in such a way that transition took place from a fatigue region to another one in the CLD. As a result, material lifetime assessment can be fashioned for a wide spectrum of loading in an efficient manner. The simulation results for different materials and loading situations are presented and discussed.

AB - In the present paper, neural networks (NN) with non-linear auto-regressive exogenous inputs (NARX) structure is developed and further applied for material lifetime assessment application. Rational of the use of the NARX structure in the application was emphasized and linked to the concept of constant life diagram (CLD), the well known concept in fatigue of material analysis and design. Fatigue life assessment was then performed and realized as one-step ahead prediction with respect to each stress level corresponding to stress ratio values arranged in such a way that transition took place from a fatigue region to another one in the CLD. As a result, material lifetime assessment can be fashioned for a wide spectrum of loading in an efficient manner. The simulation results for different materials and loading situations are presented and discussed.

KW - CLD

KW - Lifetime Assessment

KW - NARX

KW - Neural Networks

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DO - 10.1109/ISCI.2011.5958926

M3 - Conference contribution

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SN - 9781612846903

T3 - ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics

SP - 273

EP - 278

BT - ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics

T2 - 2011 IEEE Symposium on Computers and Informatics, ISCI 2011

Y2 - 20 March 2011 through 22 March 2011

ER -

Neural networks with NARX structure for material lifetime assessment application

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Keywords

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