Fault Detection in Rotating Machinery Using Acoustic Emission PDF Download

Author: Juan Luis Ferrando Chacon
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Yehia Bahei-El-Din
Publisher: Springer
ISBN: 9783319487243
Category : Technology & Engineering
Languages : en
Pages : 0

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This book reports on cutting-edge technologies that have been fostering sustainable development in a variety of fields, including built and natural environments, structures, energy, advanced mechanical technologies as well as electronics and communication technologies. It reports on the applications of Geographic Information Systems (GIS), Internet-of-Things, predictive maintenance, as well as modeling and control techniques to reduce the environmental impacts of buildings, enhance their environmental contribution and positively impact the social equity. The different chapters, selected on the basis of their timeliness and relevance for an audience of engineers and professionals, describe the major trends in the field of sustainable engineering research, providing them with a snapshot of current issues together with important technical information for their daily work, as well as an interesting source of new ideas for their future research. The works included in this book were selected among the contributions to the BUE ACE1, the first event, held in Cairo, Egypt, on 8-9 November 2016, of a series of Annual Conferences & Exhibitions (ACE) organized by the British University in Egypt (BUE).

Author: Florian König
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Robert Bond Randall
Publisher: John Wiley & Sons
ISBN: 0470977582
Category : Technology & Engineering
Languages : en
Pages : 409

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"Without doubt the best modern and up-to-date text on the topic, wirtten by one of the world leading experts in the field. Should be on the desk of any practitioner or researcher involved in the field of Machine Condition Monitoring" Simon Braun, Israel Institute of Technology Explaining complex ideas in an easy to understand way, Vibration-based Condition Monitoring provides a comprehensive survey of the application of vibration analysis to the condition monitoring of machines. Reflecting the natural progression of these systems by presenting the fundamental material and then moving onto detection, diagnosis and prognosis, Randall presents classic and state-of-the-art research results that cover vibration signals from rotating and reciprocating machines; basic signal processing techniques; fault detection; diagnostic techniques, and prognostics. Developed out of notes for a course in machine condition monitoring given by Robert Bond Randall over ten years at the University of New South Wales, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications is essential reading for graduate and postgraduate students/ researchers in machine condition monitoring and diagnostics as well as condition monitoring practitioners and machine manufacturers who want to include a machine monitoring service with their product. Includes a number of exercises for each chapter, many based on Matlab, to illustrate basic points as well as to facilitate the use of the book as a textbook for courses in the topic. Accompanied by a website www.wiley.com/go/randall housing exercises along with data sets and implementation code in Matlab for some of the methods as well as other pedagogical aids. Authored by an internationally recognised authority in the area of condition monitoring.

Author: Mohamed Ali Elforjani
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Slow speed rotating machines are the mainstay of several industrialapplications worldwide. They can be found in paper and steel mills, rotating biological contractors, wind turbines etc. Operational experience ofsuch machinery has not only revealed the early design problems but has alsopresented opportunities for further significant improvements in the technologyand economics of the machines. Slow speed rotating machinery maintenance, mostly related to bearings, shafts and gearbox problems, represents the causeof extended outages. Rotating machinery components such as gearboxes, shafts and bearings degrade slowly with operating time. Such a slowdegradation process can be identified if a robust on-line monitoring andpredictive maintenance technology is used to detect impending problems andallow repairs to be scheduled. To keep machines functioning at optimal levels, failure detection of such vital components is important as any mechanicaldegradation or wear, if is not impeded in time, will often progress to moreserious damage affecting the operational performance of the machine. Thisrequires far more costly repairs than simply replacing a part. Over the last few years there have been many developments in the use ofAcoustic Emission (AE) technology and its analysis for monitoring the conditionof rotating machinery whilst in operation, particularly on slow speed rotatingmachinery. Unlike conventional technologies such as thermography, oilanalysis, strain measurements and vibration, AE has been introduced due to itsincreased sensitivity in detecting the earliest stages of loss of mechanicalintegrity. This programme of research involves laboratory tests for monitoring slow speedrotating machinery components (shafts and bearings) using AE technology. Toimplement this objective, two test rigs have been designed to assess thecapability of AE as an effective tool for detection of incipient defects within lowspeed machine components (e.g. shafts and bearings). The focus of theexperimental work will be on the initiation and growth of natural defects. Further, this research work investigates the source characterizations of AE signalsassociated with such bearings whilst in operation. It is also hoped that at theend of this research program, a reliable on-line monitoring scheme used forslow speed rotating machinery components can be developed.

Author: Lihui Wang
Publisher: Springer Science & Business Media
ISBN: 1846282691
Category : Technology & Engineering
Languages : en
Pages : 411

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Book Description
Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.

Author: Mohammed Farouk Abdel-Magied
Publisher:
ISBN:
Category :
Languages : en
Pages : 278

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Author: Hasmat Malik
Publisher: Springer Nature
ISBN: 9811515328
Category : Technology & Engineering
Languages : en
Pages : 499

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Book Description
This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book’s goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.

Author: Ahmed Felkaoui
Publisher: Springer
ISBN: 3319961810
Category : Technology & Engineering
Languages : en
Pages : 142

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Book Description
This book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics Laboratory (LMPA) at the Institute of Precision Mechanics, University of Setif, Algeria and the Laboratory of Mechanics, Modeling and Manufacturing (LA2MP) at the National School of Engineers of Sfax. The respective chapters highlight research conducted by the two laboratories on the following main topics: noise and vibration in machines; condition monitoring in non-stationary operations; vibro-acoustic diagnosis of machinery; signal processing and pattern recognition methods; monitoring and diagnostic systems; and dynamic modeling and fault detection.

Author: Gongtian Shen
Publisher: Springer
ISBN: 3030121119
Category : Science
Languages : en
Pages : 451

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Book Description
This volume collects the papers from the World Conference on Acoustic Emission 2017 (WCAE-2017) in Xi'an, China. The latest research and applications of acoustic emission (AE) are explored, with a particular emphasis on detecting and processing AE signals, the development of AE instrument and testing standards, AE of materials, engineering structures and systems, including the processing of collected data and analytical techniques. Numerous case studies are also included. This proceedings volume will appeal to students, professors and researchers working in these fields as physicists and/or engineers.