東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Reliability and risk assessment in e...

International Conference on Reliability and Safety Engineering (2018 :)

FindBook

Google Book

Amazon

博客來

Reliability and risk assessment in engineering = proceedings of INCRS 2018 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliability and risk assessment in engineering/ edited by Vijay Kumar Gupta ... [et al.].
其他題名:	proceedings of INCRS 2018 /
其他題名:	INCRS 2018
其他作者:	Gupta, Vijay Kumar.
團體作者:	International Conference on Reliability and Safety Engineering
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xxvi, 532 p. :ill., digital ;24 cm.
內容註:	Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.
Contained By:	Springer eBooks
標題:	Reliability (Engineering) - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-15-3746-2
ISBN:	9789811537462

Reliability and risk assessment in engineering = proceedings of INCRS 2018 /
Reliability and risk assessment in engineeringproceedings of INCRS 2018 /[electronic resource] :INCRS 2018edited by Vijay Kumar Gupta ... [et al.]. - Singapore :Springer Singapore :2020. - xxvi, 532 p. :ill., digital ;24 cm. - Lecture notes in mechanical engineering,2195-4356. - Lecture notes in mechanical engineering..

Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.

This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.

ISBN: 9789811537462

Standard No.: 10.1007/978-981-15-3746-2doiSubjects--Topical Terms:

658439
Reliability (Engineering)
--Congresses.

LC Class. No.: TA169

Dewey Class. No.: 620.00452

Reliability and risk assessment in engineering = proceedings of INCRS 2018 /
LDR:02391nmm a2200349 a 4500 001 2255157
003 DE-He213
005 20200928155030.0
006 m d
007 cr nn 008maaau
008 220419s2020 si s 0 eng d
020 $a 9789811537462 $q (electronic bk.)
020 $a 9789811537455 $q (paper)
024 7 $a 10.1007/978-981-15-3746-2 $2 doi
035 $a 978-981-15-3746-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGPR $2 thema
082 0 4 $a 620.00452 $2 23
090 $a TA169 $b .I61 2018
111 2 $a International Conference on Reliability and Safety Engineering $n (1st : $d 2018 : $c Jabalpur, India) $3 3524542
245 1 0 $a Reliability and risk assessment in engineering $h [electronic resource] : $b proceedings of INCRS 2018 / $c edited by Vijay Kumar Gupta ... [et al.].
246 3 $a INCRS 2018
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xxvi, 532 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in mechanical engineering, $x 2195-4356
505 0 $a Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.
520 $a This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
650 0 $a Reliability (Engineering) $x Congresses. $3 658439
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
650 2 4 $a Performance and Reliability. $3 893430
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 3381528
700 1 $a Gupta, Vijay Kumar. $3 3524543
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in mechanical engineering. $3 1622279
856 4 0 $u https://doi.org/10.1007/978-981-15-3746-2
950 $a Engineering (Springer-11647)