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Intelligent Condition Based Monitoring : For Turbines, Compressors, and Other Rotating Machines / by Nishchal K. Verma, Al Salour

By: Verma, Nishchal K.
Contributor(s): SpringerLink (Online service) | Salour, Al, autor
Material type: materialTypeLabelE-bookSeries: (Studies in Systems Decision and Control, 2198-4182; 256); (Engineering (Springer-11647)).Publisher: Singapore : Springer, 2020Edition: Primera edición 2020.Description: 1 recurso en línea (XXX, 302 páginas).ISBN: 9789811505126.Subject: Ingeniería mecánicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
In: Springer eBooksAbstract: 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. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TJ153 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook28022255
Total holds: 0

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. .

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