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Author: Sam Zhang Publisher: CRC Press ISBN: 1439873305 Category : Technology & Engineering Languages : en Pages : 763
Book Description
Whether an airplane or a space shuttle, a flying machine requires advanced materials to provide a strong, lightweight body and a powerful engine that functions at high temperature. The Aerospace Materials Handbook examines these materials, covering traditional superalloys as well as more recently developed light alloys. Capturing state-of-the-art d
Author: Sam Zhang Publisher: CRC Press ISBN: 1439873305 Category : Technology & Engineering Languages : en Pages : 763
Book Description
Whether an airplane or a space shuttle, a flying machine requires advanced materials to provide a strong, lightweight body and a powerful engine that functions at high temperature. The Aerospace Materials Handbook examines these materials, covering traditional superalloys as well as more recently developed light alloys. Capturing state-of-the-art d
Author: A. T. Augousti Publisher: CRC Press ISBN: Category : Art Languages : en Pages : 468
Book Description
This book contains the invited and contributed papers presented at the seventh conference in the well-known series of conferences on Sensors and their Applications. The invited review papers provide an overview of developments and the contributed papers give in-depth coverage of research results across the whole field.
Author: Wiesław M. Ostachowicz Publisher: Trans Tech Publications Ltd ISBN: 3038130214 Category : Technology & Engineering Languages : en Pages : 766
Book Description
DAMAS 2005 Proceedings of the 6th International Conference on Damage Assessment of Structures (DAMAS 2005), Gdansk, Poland, 4th to 6th July 2005
Author: Nordin Saad Publisher: CRC Press ISBN: 1351172557 Category : Technology & Engineering Languages : en Pages : 150
Book Description
The book covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and the fault identification process using motor currents electrical signature analysis. It aims to present a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor. Covers current and new approaches applied to fault diagnosis and condition monitoring. Integrates concepts and practical implementation of electrical signature analysis. Utilizes LabVIEW tool for condition monitoring problems. Incorporates real-world case studies. Paves way a technology potentially for prescriptive maintenance via IIoT.
Author: Hosameldin Ahmed Publisher: John Wiley & Sons ISBN: 1119544645 Category : Technology & Engineering Languages : en Pages : 498
Book Description
Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.
Author: PHM Society Publisher: Lulu.com ISBN: 1936263114 Category : Technology & Engineering Languages : en Pages : 151
Book Description
International Journal of Prognostics and Health Management (IJPHM) was established in 2009 to facilitate archival publication of peer-reviewed results from research and development in the area of PHM. As a journal solely dedicated to the emerging field of PHM IJPHM is the first of its kind and has been a focal point for dissemination of peer-reviewed PHM knowledge. While for the first few years the journal maintained only an online presence, the printed volumes will now be available and can be obtained upon request. IJPHM is dedicated to all aspects of PHM: technical, management, economic, and social. In addition to regular periodic volumes IJPHM also publishes special issues with quality papers dedicated to focused topics.
Author: Sam Zhang
Author: Sam Zhang
Author: 
Author: 
Author: Vibration Institute (Clarendon Hills, Ill.). Meeting
Author: A. T. Augousti
Author: Wiesław M. Ostachowicz
Author: American Society for Engineering Education. Conference
Author: Nordin Saad
Author: Hosameldin Ahmed
Author: PHM Society