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Design and degradation modelling through artificial neural networks

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Design and degradation modelling through artificial neural networks. / Lin, Hungyen; Kong, L. X.; Hsu, Hung-Yao.
In: International Journal of Manufacturing Research, Vol. 2, No. 1, 2007, p. 97-113.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Lin, H, Kong, LX & Hsu, H-Y 2007, 'Design and degradation modelling through artificial neural networks', International Journal of Manufacturing Research, vol. 2, no. 1, pp. 97-113.

APA

Lin, H., Kong, L. X., & Hsu, H-Y. (2007). Design and degradation modelling through artificial neural networks. International Journal of Manufacturing Research, 2(1), 97-113.

Vancouver

Lin H, Kong LX, Hsu H-Y. Design and degradation modelling through artificial neural networks. International Journal of Manufacturing Research. 2007;2(1):97-113.

Author

Lin, Hungyen ; Kong, L. X. ; Hsu, Hung-Yao. / Design and degradation modelling through artificial neural networks. In: International Journal of Manufacturing Research. 2007 ; Vol. 2, No. 1. pp. 97-113.

Bibtex

@article{ade7f2a2b8414fb698305c2353127ac7,
title = "Design and degradation modelling through artificial neural networks",
abstract = "Automotive is one of the major manufacturing industries in Australia that requires extensive reliability test for the components used in vehicles. To achieve a shorter time-to-market and a highly reliable product while reducing the amount of physical prototyping, there is a growing need for better understanding on the effect that the design parameters have on the degradation of the product. This paper presents comprehensive descriptions of applying Artificial Neural Network (ANN) to capture the relationships between design and degradation. Consequently, two models of different practical significance are created as the result of the work. The vision of the models is to be used by the testers and designers as a guideline in design evaluation, so that time-consuming and expensive iterations of the product developmental cycle can be reduced substantially. The degradation of the folding force of a mechanical system is used to illustrate our approach.",
author = "Hungyen Lin and Kong, {L. X.} and Hung-Yao Hsu",
year = "2007",
language = "English",
volume = "2",
pages = "97--113",
journal = "International Journal of Manufacturing Research",
issn = "1750-0591",
publisher = "Inderscience Enterprises Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Design and degradation modelling through artificial neural networks

AU - Lin, Hungyen

AU - Kong, L. X.

AU - Hsu, Hung-Yao

PY - 2007

Y1 - 2007

N2 - Automotive is one of the major manufacturing industries in Australia that requires extensive reliability test for the components used in vehicles. To achieve a shorter time-to-market and a highly reliable product while reducing the amount of physical prototyping, there is a growing need for better understanding on the effect that the design parameters have on the degradation of the product. This paper presents comprehensive descriptions of applying Artificial Neural Network (ANN) to capture the relationships between design and degradation. Consequently, two models of different practical significance are created as the result of the work. The vision of the models is to be used by the testers and designers as a guideline in design evaluation, so that time-consuming and expensive iterations of the product developmental cycle can be reduced substantially. The degradation of the folding force of a mechanical system is used to illustrate our approach.

AB - Automotive is one of the major manufacturing industries in Australia that requires extensive reliability test for the components used in vehicles. To achieve a shorter time-to-market and a highly reliable product while reducing the amount of physical prototyping, there is a growing need for better understanding on the effect that the design parameters have on the degradation of the product. This paper presents comprehensive descriptions of applying Artificial Neural Network (ANN) to capture the relationships between design and degradation. Consequently, two models of different practical significance are created as the result of the work. The vision of the models is to be used by the testers and designers as a guideline in design evaluation, so that time-consuming and expensive iterations of the product developmental cycle can be reduced substantially. The degradation of the folding force of a mechanical system is used to illustrate our approach.

M3 - Journal article

VL - 2

SP - 97

EP - 113

JO - International Journal of Manufacturing Research

JF - International Journal of Manufacturing Research

SN - 1750-0591

IS - 1

ER -