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Intelligent fatigue statistics /

Gao, Zhentong,1928-

Intelligent fatigue statistics /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
正題名/作者:	Intelligent fatigue statistics // Zhentong Gao and Jiajin Xu.
作者:	Gao, Zhentong,
其他作者:	Xu, Jiajin,
出版者:	Boca Raton :CRC Press,c2025.
面頁冊數:	xviii, 240 p. :ill. ;24 cm.
附註:	Translation of: Zhi neng pi lao tong ji xue.
Subject:	Materials - Fatigue -
ISBN:	9781032773094
ISBN:	9781032785592
ISBN:	9781003488477

Intelligent fatigue statistics /
Gao, Zhentong,1928-

Intelligent fatigue statistics /Zhentong Gao and Jiajin Xu. - Boca Raton :CRC Press,c2025. - xviii, 240 p. :ill. ;24 cm.

Translation of: Zhi neng pi lao tong ji xue.

Includes bibliographical references and index.

"This book introduces the principles and theories of fatigue statistics and presents the Zhentong Gao method along with its practical applications. Fatigue in metal components is a complex phenomenon and an important issue because the fatigue life of key components often determines the overall lifespan of the aircraft. The book provides an overview and analysis of existing fatigue life calculation and estimation methods, including probability statistical methods such as using Gaussian distribution, logarithmic Gaussian distribution, and Weibull distribution to fit actual data. However, the authors argue that these methods have limitations in terms of reliability and applicability. They point out that the location parameter of the Weibull distribution represents a safe life with 100% reliability. Based on these methods, the book proposes the intelligent Zhentong Gao method, which differs from traditional approaches and effectively addresses and solves the problem of estimating the three parameters of Weibull distribution. This title will serve as a valuable reference for researchers, senior undergraduate and graduate students, and engineers in the fields of aerospace, automotive, mechanical, civil engineering, etc"--

ISBN: 9781032773094NT2993

LCCN: 2024004453Subjects--Topical Terms:

1000157569
Materials
--Fatigue

LC Class. No.: TA418.38 / .G3613 2025

Dewey Class. No.: 620.1/1260285

Intelligent fatigue statistics /
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020 $a 9781032785592 $q (pbk.)
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050 0 0 $a TA418.38 $b .G3613 2025
082 0 0 $a 620.1/1260285 $2 23/eng/20240327
100 1 $a Gao, Zhentong, $d 1928- $3 1000157567
240 1 0 $a Zhi neng pi lao tong ji xue. $l English
245 1 0 $a Intelligent fatigue statistics / $c Zhentong Gao and Jiajin Xu.
260 $a Boca Raton : $b CRC Press, $c c2025.
300 $a xviii, 240 p. : $b ill. ; $c 24 cm.
500 $a Translation of: Zhi neng pi lao tong ji xue.
504 $a Includes bibliographical references and index.
520 $a "This book introduces the principles and theories of fatigue statistics and presents the Zhentong Gao method along with its practical applications. Fatigue in metal components is a complex phenomenon and an important issue because the fatigue life of key components often determines the overall lifespan of the aircraft. The book provides an overview and analysis of existing fatigue life calculation and estimation methods, including probability statistical methods such as using Gaussian distribution, logarithmic Gaussian distribution, and Weibull distribution to fit actual data. However, the authors argue that these methods have limitations in terms of reliability and applicability. They point out that the location parameter of the Weibull distribution represents a safe life with 100% reliability. Based on these methods, the book proposes the intelligent Zhentong Gao method, which differs from traditional approaches and effectively addresses and solves the problem of estimating the three parameters of Weibull distribution. This title will serve as a valuable reference for researchers, senior undergraduate and graduate students, and engineers in the fields of aerospace, automotive, mechanical, civil engineering, etc"-- $c Provided by publisher.
650 0 $a Materials $x Fatigue $x Data processing. $3 1000157569
650 0 $a Materials $x Fatigue $x Statistical methods. $3 1000157570
650 0 $a Artificial intelligence. $3 148186
700 1 $a Xu, Jiajin, $d 1946- $3 1000157568