Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Intelligent Condition Based Monitori...
~
SpringerLink (Online service)
Intelligent Condition Based Monitoring = For Turbines, Compressors, and Other Rotating Machines /
Record Type:
Language materials, printed : 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.
Description:
XXX, 302 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Machinery. -
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 Monitoring
For Turbines, Compressors, and Other Rotating Machines /[electronic resource] :by Nishchal K. Verma, Al Salour. - 1st ed. 2020. - XXX, 302 p.online resource. - Studies in Systems, Decision and Control,2562198-4182 ;. - Studies in Systems, Decision and Control,27.
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:
990113
Machinery.
LC Class. No.: TA213-215
Dewey Class. No.: 621.8
Intelligent Condition Based Monitoring = For Turbines, Compressors, and Other Rotating Machines /
LDR
:02522nam a22004095i 4500
001
1027616
003
DE-He213
005
20200703085916.0
007
cr nn 008mamaa
008
210318s2020 si | s |||| 0|eng d
020
$a
9789811505126
$9
978-981-15-0512-6
024
7
$a
10.1007/978-981-15-0512-6
$2
doi
035
$a
978-981-15-0512-6
050
4
$a
TA213-215
072
7
$a
TGBN
$2
bicssc
072
7
$a
TEC046000
$2
bisacsh
072
7
$a
TGBN
$2
thema
082
0 4
$a
621.8
$2
23
100
1
$a
Verma, Nishchal K.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1253315
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.
250
$a
1st ed. 2020.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
XXX, 302 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Studies in Systems, Decision and Control,
$x
2198-4182 ;
$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.
$3
990113
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Quality control.
$3
573723
650
0
$a
Reliability.
$3
573603
650
0
$a
Industrial safety.
$3
568114
650
1 4
$a
Machinery and Machine Elements.
$3
670866
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Quality Control, Reliability, Safety and Risk.
$3
671184
700
1
$a
Salour, Al.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1324022
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811505119
776
0 8
$i
Printed edition:
$z
9789811505133
776
0 8
$i
Printed edition:
$z
9789811505140
830
0
$a
Studies in Systems, Decision and Control,
$x
2198-4182 ;
$v
27
$3
1254124
856
4 0
$u
https://doi.org/10.1007/978-981-15-0512-6
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login