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The new methods on NDE systems pod c...

Wayne State University., Industrial Engineering.

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The new methods on NDE systems pod capability assessment and robustness improvement.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The new methods on NDE systems pod capability assessment and robustness improvement./
Author:	Guo, Yan.
Description:	167 p.
Notes:	Adviser: Kai Yang.
Contained By:	Dissertation Abstracts International69-11B.
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3336806
ISBN:	9780549908807

The new methods on NDE systems pod capability assessment and robustness improvement.
Guo, Yan.

The new methods on NDE systems pod capability assessment and robustness improvement. - 167 p.

Adviser: Kai Yang.

Thesis (Ph.D.)--Wayne State University, 2009.

Nondestructive Evaluation (NDE) applies noninvasive techniques to determine the integrity of a material, component or structure. In latest centuries, NDE methods have been widely used in quality assurance and control, inspection personnel qualification, component characterization identification, tolerance design parameter determination etc. Probability of detection (POD) is one of the most important metrics to quantify the capability of nondestructive evaluation techniques. The current studies are based on empirical testing with well fabricated artificial defects. However, the preparation of the specimens with seeded defects is costly and time consuming, which increase the difficulties and cost of POD studies by traditional empirical experiments. And it is not able to evaluate the field inspection capability because lacking the complete knowledge of defects. Furthermore, because of the characteristics of the NDE methods, the POD is sensitive to many controllable and uncontrollable factors. It is very important to have a robust inspection system to the noises.

ISBN: 9780549908807Subjects--Topical Terms:

626639
Engineering, Industrial.

The new methods on NDE systems pod capability assessment and robustness improvement.
LDR:03192nam 2200325 a 45 001 856712
005 20100709
008 100709s2009 ||||||||||||||||| ||eng d
020 $a 9780549908807
035 $a (UMI)AAI3336806
035 $a AAI3336806
040 $a UMI $c UMI
100 1 $a Guo, Yan. $3 1023565
245 1 4 $a The new methods on NDE systems pod capability assessment and robustness improvement.
300 $a 167 p.
500 $a Adviser: Kai Yang.
500 $a Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 7068.
502 $a Thesis (Ph.D.)--Wayne State University, 2009.
520 $a Nondestructive Evaluation (NDE) applies noninvasive techniques to determine the integrity of a material, component or structure. In latest centuries, NDE methods have been widely used in quality assurance and control, inspection personnel qualification, component characterization identification, tolerance design parameter determination etc. Probability of detection (POD) is one of the most important metrics to quantify the capability of nondestructive evaluation techniques. The current studies are based on empirical testing with well fabricated artificial defects. However, the preparation of the specimens with seeded defects is costly and time consuming, which increase the difficulties and cost of POD studies by traditional empirical experiments. And it is not able to evaluate the field inspection capability because lacking the complete knowledge of defects. Furthermore, because of the characteristics of the NDE methods, the POD is sensitive to many controllable and uncontrollable factors. It is very important to have a robust inspection system to the noises.
520 $a In this research, a novel method by establishing a composite NDE system is firstly discussed to evaluate the field inspection capability with in-service natural occurred defect samples. The simulation and verification results show the effectiveness of the methodology. Then a truncated logistic regression model is developed based on the composite NDE methods to enhance the estimation accuracy considering the undetected existing defects. The simulation results illustrated that the truncated logistic regression reached a better results of POD estimation than the standard logistic regression model. Finally, we developed an application of robust design to optimize the robustness of the probability of detection of an innovative acoustic thermographic nondestructive evaluation system. It is shows that Taguchi method provides a simple and efficient methodology for the robust design and feasible to be applied in optimizing nondestructive inspection systems. At the end of this dissertation, the work of this dissertation and the future work are discussed and concluded.
590 $a School code: 0254.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Mathematics. $3 515831
690 $a 0405
690 $a 0546
710 2 $a Wayne State University. $b Industrial Engineering. $3 1023564
773 0 $t Dissertation Abstracts International $g 69-11B.
790 $a 0254
790 1 0 $a Ellis, Richard Darin $e committee member
790 1 0 $a Han, Xiaoyan $e committee member
790 1 0 $a Kim, Kyoung-Yun $e committee member
790 1 0 $a Yang, Kai, $e advisor
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3336806