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Intelligent condition based monitori...

Salour, Al.

Intelligent condition based monitoringfor turbines, compressors, and other rotating machines /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent condition based monitoringby 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.
Contained By:	Springer eBooks
Subject:	MachineryMonitoring.
Online resource:	https://doi.org/10.1007/978-981-15-0512-6
ISBN:	9789811505126$q(electronic bk.)

Intelligent condition based monitoringfor 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.3..

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$q(electronic bk.)

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

712072
Machinery
--Monitoring.

LC Class. No.: TJ153 / .V476 2020

Dewey Class. No.: 621.816

Intelligent condition based monitoringfor turbines, compressors, and other rotating machines /
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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.
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