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Author: Amiya Ranjan Mohanty
Publisher: CRC Press
ISBN: 1466593059
Category : Science
Languages : en
Pages : 282
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Book Description
Find the Fault in the Machines Drawing on the author’s more than two decades of experience with machinery condition monitoring and consulting for industries in India and abroad, Machinery Condition Monitoring: Principles and Practices introduces the practicing engineer to the techniques used to effectively detect and diagnose faults in machines. Providing the working principle behind the instruments, the important elements of machines as well as the technique to understand their conditions, this text presents every available method of machine fault detection occurring in machines in general, and rotating machines in particular. A Single-Source Solution for Practice Machinery Conditioning Monitoring Since vibration is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor-dynamics. It also covers the techniques of wear and debris analysis, and motor current signature analysis to detect faults in rotating mechanical systems as well as thermography, the nondestructive test NDT techniques (ultrasonics and radiography), and additional methods. The author includes relevant case studies from his own experience spanning over the past 20 years, and detailing practical fault diagnosis exercises involving various industries ranging from steel and cement plants to gas turbine driven frigates. While mathematics is kept to a minimum, he also provides worked examples and MATLAB® codes. This book contains 15 chapters and provides topical information that includes: A brief overview of the maintenance techniques Fundamentals of machinery vibration and rotor dynamics Basics of signal processing and instrumentation, which are essential for monitoring the health of machines Requirements of vibration monitoring and noise monitoring Electrical machinery faults Thermography for condition monitoring Techniques of wear debris analysis and some of the nondestructive test (NDT) techniques for condition monitoring like ultrasonics and radiography Machine tool condition monitoring Engineering failure analysis Several case studies, mostly on failure analysis, from the author’s consulting experience Machinery Condition Monitoring: Principles and Practices presents the latest techniques in fault diagnosis and prognosis, provides many real-life practical examples, and empowers you to diagnose the faults in machines all on your own.
Author: Amiya Ranjan Mohanty
Publisher: CRC Press
ISBN: 1466593059
Category : Science
Languages : en
Pages : 282
Get Book Here
Book Description
Find the Fault in the Machines Drawing on the author’s more than two decades of experience with machinery condition monitoring and consulting for industries in India and abroad, Machinery Condition Monitoring: Principles and Practices introduces the practicing engineer to the techniques used to effectively detect and diagnose faults in machines. Providing the working principle behind the instruments, the important elements of machines as well as the technique to understand their conditions, this text presents every available method of machine fault detection occurring in machines in general, and rotating machines in particular. A Single-Source Solution for Practice Machinery Conditioning Monitoring Since vibration is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor-dynamics. It also covers the techniques of wear and debris analysis, and motor current signature analysis to detect faults in rotating mechanical systems as well as thermography, the nondestructive test NDT techniques (ultrasonics and radiography), and additional methods. The author includes relevant case studies from his own experience spanning over the past 20 years, and detailing practical fault diagnosis exercises involving various industries ranging from steel and cement plants to gas turbine driven frigates. While mathematics is kept to a minimum, he also provides worked examples and MATLAB® codes. This book contains 15 chapters and provides topical information that includes: A brief overview of the maintenance techniques Fundamentals of machinery vibration and rotor dynamics Basics of signal processing and instrumentation, which are essential for monitoring the health of machines Requirements of vibration monitoring and noise monitoring Electrical machinery faults Thermography for condition monitoring Techniques of wear debris analysis and some of the nondestructive test (NDT) techniques for condition monitoring like ultrasonics and radiography Machine tool condition monitoring Engineering failure analysis Several case studies, mostly on failure analysis, from the author’s consulting experience Machinery Condition Monitoring: Principles and Practices presents the latest techniques in fault diagnosis and prognosis, provides many real-life practical examples, and empowers you to diagnose the faults in machines all on your own.
Author: Alexander Arnfinn Olsen
Publisher: Springer Nature
ISBN: 3031577817
Category :
Languages : en
Pages : 165
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Book Description
Author: A. Davies
Publisher: Springer Science & Business Media
ISBN: 9401149240
Category : Technology & Engineering
Languages : en
Pages : 571
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Book Description
In today's competitive climate the economies of production have become a critical factor for all manufacturing companies. For this reason, achieving cost-effective plant maintenance is highly important. In this context monitoring plays a vital role. The purpose of this book is to inform readers about techniques currently available in the field of condition monitoring, and the methodology used in their application. With contributions from experts throughout the world, the Handbook of Condition Monitoring addresses the four major technique areas in condition monitoring in addition to the latest developments in condition monitoring research. Significantly, the Handbook of Condition Monitoring includes the following features: comprehensive coverage of the full range of techniques and methodologies accepted knowledge and new developments both technical and managerial content. This is the essential reference book for maintenance technicians, engineers, managers and researchers as well as graduate students involved in manufacturing and mechanical engineering, and condition monitoring.
Author: B. K. N. Rao
Publisher: Elsevier
ISBN: 9781856172349
Category : Business & Economics
Languages : en
Pages : 862
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Book Description
Hardbound. The need to reduce costs has generated a greater interest in condition monitoring in recent years. The Handbook of Condition Monitoring gives an extensive description of available products and their usage making it a source of practical guidance supported by basic theory.This handbook has been designed to assist individuals within companies in the methods and devices used to monitor the condition of machinery and products.
Author: Hosameldin Ahmed
Publisher: John Wiley & Sons
ISBN: 1119544629
Category : Technology & Engineering
Languages : en
Pages : 456
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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: Tshilidzi Marwala
Publisher: Springer Science & Business Media
ISBN: 1447123808
Category : Technology & Engineering
Languages : en
Pages : 247
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Book Description
Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.
Author: Ron Barron
Publisher: Prentice Hall
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
Maintenance can account for an extremely large proportion of the operating costs of machinery. Additionally, the downtime caused by machine breakdowns can severely affect the productivity of factories or the safety of products. Thus, it is becoming increasingly important for companies to consider the monitoring of their equipment 'in situ' in order to reduce the number of breakdowns experienced and to avoid the unnecessary cost and delay caused by repairs. Engineering Condition Monitoring provides an overview of all aspects of this important technique paying special attention to the vibration analysis of rotating machines. The text will be suitable for industrial practitioners and managers along with postgraduate students involved in mechanical and manufacturing engineering. The authors have used their vast collective experience both in industry and as academic teachers to produce a broad, descriptive text, concentrating on practical aspects, that will be invaluable to anyone involved in the operation or sub-contracting of condition monitoring methods.
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: American Bureau of Shipping
Publisher:
ISBN:
Category : Machinery
Languages : en
Pages : 93
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Book Description
Author: Zhaklina Stamboliska
Publisher: Springer
ISBN: 3319104942
Category : Technology & Engineering
Languages : en
Pages : 193
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Book Description
This book broadens readers’ understanding of proactive condition monitoring of low- speed machines in heavy industries. It focuses on why low-speed machines are different than others and how maintenance of these machines should be implemented with particular attention. The authors explain the best available monitoring techniques for various equipment and the principle of how to get proactive information from each technique. They further put forward possible strategies for application of FEM for detection of faults and technical assessment of machinery. Implementation phases are described and industrial case studies of proactive condition monitoring are included. Proactive Condition Monitoring of Low-Speed Machines is an essential resource for engineers and technical managers across a range of industries as well as design engineers working in industrial product development.
