Intelligent Condition Based Monitoring
For Turbines, Compressors, and Other Rotating Machines
(Sprache: Englisch)
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...
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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.Inhaltsverzeichnis zu „Intelligent Condition Based Monitoring “
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.Autoren-Porträt von Nishchal K. Verma, Al Salour
Dr. Nishchal K. Verma (SM'13) is a Professor in Department of Electrical Engineering and Inter-disciplinary Program in Cognitive Science at Indian Institute of Technology Kanpur, India. He obtained PhD in Electrical Engineering from Indian Institute of Technology Delhi, India. He is an awardee of Devendra Shukla Young Faculty Research Fellowship by Indian Institute of Technology Kanpur, India for year 2013-16.
Bibliographische Angaben
- Autoren: Nishchal K. Verma , Al Salour
- 2020, 1st ed. 2020, XXX, 302 Seiten, Maße: 15,6 x 24 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 981150511X
- ISBN-13: 9789811505119
Sprache:
Englisch
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