東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Intelligent condition based monitori...

Verma, Nishchal K.

Linked to FindBook

Google Book

Amazon

博客來

Intelligent condition based monitoring = for turbines, compressors, and other rotating machines /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent condition based monitoring/ by Nishchal K. Verma, Al Salour.
Reminder of title:	for turbines, compressors, and other rotating machines /
Author:	Verma, Nishchal K.
other author:	Salour, Al.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xxx, 302 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Faults And Data Acquisition -- Preprocessing -- Feature Extraction -- Feature Selection -- Fault Recognisition -- Fault Diagnosis System For Air Compressor Using Palmtop -- Improved Fault Detection Model -- Fault Diagnosis System Using Smartphone -- References.
Contained By:	Springer eBooks
Subject:	Machinery - Monitoring. -
Online resource:	https://doi.org/10.1007/978-981-15-0512-6
ISBN:	9789811505126

Intelligent condition based monitoring = for turbines, compressors, and other rotating machines /
Verma, Nishchal K.

Intelligent condition based monitoringfor turbines, compressors, and other rotating machines /[electronic resource] :by Nishchal K. Verma, Al Salour. - Singapore :Springer Singapore :2020. - xxx, 302 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.2562198-4182 ;. - Studies in systems, decision and control ;v.256..

Introduction -- Faults And Data Acquisition -- Preprocessing -- Feature Extraction -- Feature Selection -- Fault Recognisition -- Fault Diagnosis System For Air Compressor Using Palmtop -- Improved Fault Detection Model -- Fault Diagnosis System Using Smartphone -- References.

This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.

ISBN: 9789811505126

Standard No.: 10.1007/978-981-15-0512-6doiSubjects--Topical Terms:

828528
Machinery
--Monitoring.

LC Class. No.: TJ153 / .V476 2020

Dewey Class. No.: 621.816

Intelligent condition based monitoring = for turbines, compressors, and other rotating machines /
LDR:02190nmm a2200337 a 4500 001 2215692
003 DE-He213
005 20200620115559.0
006 m d
007 cr nn 008maaau
008 201120s2020 si s 0 eng d
020 $a 9789811505126 $q (electronic bk.)
020 $a 9789811505119 $q (paper)
024 7 $a 10.1007/978-981-15-0512-6 $2 doi
035 $a 978-981-15-0512-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ153 $b .V476 2020
072 7 $a TGBN $2 bicssc
072 7 $a TEC046000 $2 bisacsh
072 7 $a TGBN $2 thema
082 0 4 $a 621.816 $2 23
090 $a TJ153 $b .V52 2020
100 1 $a Verma, Nishchal K. $3 3378823
245 1 0 $a Intelligent condition based monitoring $h [electronic resource] : $b for turbines, compressors, and other rotating machines / $c by Nishchal K. Verma, Al Salour.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xxx, 302 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.256
505 0 $a Introduction -- Faults And Data Acquisition -- Preprocessing -- Feature Extraction -- Feature Selection -- Fault Recognisition -- Fault Diagnosis System For Air Compressor Using Palmtop -- Improved Fault Detection Model -- Fault Diagnosis System Using Smartphone -- References.
520 $a This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.
650 0 $a Machinery $x Monitoring. $3 828528
650 0 $a Artificial intelligence $x Industrial applications. $3 653318
650 1 4 $a Machinery and Machine Elements. $3 893855
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
700 1 $a Salour, Al. $3 3447427
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.256. $3 3447428
856 4 0 $u https://doi.org/10.1007/978-981-15-0512-6
950 $a Engineering (Springer-11647)