Equipment Conditioning Monitoring And Techniques

Author : Amiya Ranjan Mohanty
Publisher : CRC Press
Page : 282 pages
File Size : 47,5 Mb
Release : 2014-12-22
Category : Science
ISBN : 9781466593053

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Machinery Condition Monitoring by Amiya Ranjan Mohanty Pdf

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 : A. Davies
Publisher : Springer Science & Business Media
Page : 571 pages
File Size : 41,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401149242

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Handbook of Condition Monitoring by A. Davies Pdf

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 : Alexander Arnfinn Olsen
Publisher : Springer Nature
Page : 165 pages
File Size : 40,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9783031577819

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Equipment Conditioning Monitoring and Techniques by Alexander Arnfinn Olsen Pdf

Author : B. K. N. Rao
Publisher : Elsevier
Page : 862 pages
File Size : 50,6 Mb
Release : 1996
Category : Business & Economics
ISBN : 1856172341

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Handbook of Condition Monitoring by B. K. N. Rao Pdf

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,Asoke K. Nandi
Publisher : John Wiley & Sons
Page : 456 pages
File Size : 42,7 Mb
Release : 2020-01-07
Category : Technology & Engineering
ISBN : 9781119544623

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Condition Monitoring with Vibration Signals by Hosameldin Ahmed,Asoke K. Nandi Pdf

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 : Ron Barron,Dr. Ron Barron
Publisher : Prentice Hall
Page : 264 pages
File Size : 51,7 Mb
Release : 1996
Category : Technology & Engineering
ISBN : UOM:39015040703699

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Engineering Condition Monitoring by Ron Barron,Dr. Ron Barron Pdf

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 : Kesheng Wang
Publisher : IOS Press
Page : 136 pages
File Size : 49,6 Mb
Release : 2003
Category : Computational intelligence
ISBN : 1586033123

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Intelligent Condition Monitoring and Diagnosis Systems by Kesheng Wang Pdf

This work covers intelligent system development. In order to survive in an uncertain environment, it is necessary to bring artificial neural networks, fuzzy logic systems, genetic algorithms and expert systems together to make a condition monitoring and diagnosis system more reliable and cost effective than a traditional one. The focus of intelligent condition monitoring and diagnosis system is on practical applications of intelligent techniques. The text provides practicing engineers and scientists with the information they need to solve the problems in both industry and academia.

Author : Zhaklina Stamboliska,Eugeniusz Rusiński,Przemyslaw Moczko
Publisher : Springer
Page : 193 pages
File Size : 52,6 Mb
Release : 2014-11-15
Category : Technology & Engineering
ISBN : 9783319104942

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Proactive Condition Monitoring of Low-Speed Machines by Zhaklina Stamboliska,Eugeniusz Rusiński,Przemyslaw Moczko Pdf

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.

Author : J.H. Williams,A. Davies,P.R. Drake
Publisher : Springer Science & Business Media
Page : 206 pages
File Size : 43,6 Mb
Release : 1994-07-31
Category : Technology & Engineering
ISBN : 0412465000

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Condition-based Maintenance and Machine Diagnostics by J.H. Williams,A. Davies,P.R. Drake Pdf

Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal mining and steel-making, for instance. In manufacturing, its application has been somewhat muted. This text attempts to present the fundamental justification for condition-based maintenance together with enough analytic and practical guidance for its implementation. There are chapters on the two dominant techniques of vibration and debris analysis. Also, basic diagnostic methods are given along with a presentation of the systems approach to condition monitoring. A detailed case study shows the practical application of the techniques presented. Finally, future developments in the use of expert systems and A1 techniques are highlighted. Condition-based Maintenance and Machine Diagnostics gives details of both off-the-shelf solutions and analytic diagnostic techniques to enable a bespoke solution to be developed. It is suitable for senior undergraduates and postgraduates in the field of manufacturing and industrial engineering, and it furnishes managers in industry with sufficient information to judge the usefulness of the techniques for their particular application.

Author : Lihui Wang,Robert X Gao
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 44,5 Mb
Release : 2006-08-02
Category : Technology & Engineering
ISBN : 9781846282690

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Condition Monitoring and Control for Intelligent Manufacturing by Lihui Wang,Robert X Gao Pdf

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 : Tshilidzi Marwala
Publisher : Springer Science & Business Media
Page : 247 pages
File Size : 49,9 Mb
Release : 2012-01-25
Category : Technology & Engineering
ISBN : 9781447123804

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Condition Monitoring Using Computational Intelligence Methods by Tshilidzi Marwala Pdf

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 : Juan Carlos A. Jauregui Correa,Alejandro A. Lozano Guzman
Publisher : Academic Press
Page : 208 pages
File Size : 40,6 Mb
Release : 2020-03-18
Category : Technology & Engineering
ISBN : 9780128197967

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Mechanical Vibrations and Condition Monitoring by Juan Carlos A. Jauregui Correa,Alejandro A. Lozano Guzman Pdf

Mechanical Vibrations and Condition Monitoring presents a collection of data and insights on the study of mechanical vibrations for the predictive maintenance of machinery. Seven chapters cover the foundations of mechanical vibrations, spectrum analysis, instruments, causes and effects of vibration, alignment and balancing methods, practical cases, and guidelines for the implementation of a predictive maintenance program. Readers will be able to use the book to make predictive maintenance decisions based on vibration analysis. This title will be useful to senior engineers and technicians looking for practical solutions to predictive maintenance problems. However, the book will also be useful to technicians looking to ground maintenance observations and decisions in the vibratory behavior of machine components. Presents data and insights into mechanical vibrations in condition monitoring and the predictive maintenance of industrial machinery Defines the key concepts related to mechanical vibration and its application for predicting mechanical failure Describes the dynamic behavior of most important mechanical components found in industrial machinery Explains fundamental concepts such as signal analysis and the Fourier transform necessary to understand mechanical vibration Provides analysis of most sources of failure in mechanical systems, affording an introduction to more complex signal analysis

Author : Ankur Kumar,Jesus Flores-Cerrillo
Publisher : MLforPSE
Page : 365 pages
File Size : 47,6 Mb
Release : 2024-01-12
Category : Computers
ISBN : 8210379456XXX

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Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance by Ankur Kumar,Jesus Flores-Cerrillo Pdf

This book is designed to help readers quickly gain a working knowledge of machine learning-based techniques that are widely employed for building equipment condition monitoring, plantwide monitoring , and predictive maintenance solutions in process industry . The book covers a broad spectrum of techniques ranging from univariate control charts to deep learning-based prediction of remaining useful life. Consequently, the readers can leverage the concepts learned to build advanced solutions for fault detection, fault diagnosis, and fault prognosis. The application focused approach of the book is reader friendly and easily digestible to the practicing and aspiring process engineers and data scientists. Upon completion, readers will be able to confidently navigate the Prognostics and Health Management literature and make judicious selection of modeling approaches suitable for their problems. This book has been divided into seven parts. Part 1 lays down the basic foundations of ML-assisted process and equipment condition monitoring, and predictive maintenance. Part 2 provides in-detail presentation of classical ML techniques for univariate signal monitoring. Different types of control charts and time-series pattern matching methodologies are discussed. Part 3 is focused on the widely popular multivariate statistical process monitoring (MSPM) techniques. Emphasis is paid to both the fault detection and fault isolation/diagnosis aspects. Part 4 covers the process monitoring applications of classical machine learning techniques such as k-NN, isolation forests, support vector machines, etc. These techniques come in handy for processes that cannot be satisfactorily handled via MSPM techniques. Part 5 navigates the world of artificial neural networks (ANN) and studies the different ANN structures that are commonly employed for fault detection and diagnosis in process industry. Part 6 focusses on vibration-based monitoring of rotating machinery and Part 7 deals with prognostic techniques for predictive maintenance applications. Broadly, the book covers the following: Exploratory analysis of process data Best practices for process monitoring and predictive maintenance solutions Univariate monitoring via control charts and time series data mining Multivariate statistical process monitoring techniques (PCA, PLS, FDA, etc.) Machine learning and deep learning techniques to handle dynamic, nonlinear, and multimodal processes Fault detection and diagnosis of rotating machinery using vibration data Remaining useful life predictions for predictive maintenance

Author : Irfan, Muhammad
Publisher : IGI Global
Page : 307 pages
File Size : 53,9 Mb
Release : 2018-09-14
Category : Technology & Engineering
ISBN : 9781522569909

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Advanced Condition Monitoring and Fault Diagnosis of Electric Machines by Irfan, Muhammad Pdf

The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.

Author : Peter Tavner
Publisher : IET
Page : 306 pages
File Size : 42,8 Mb
Release : 2008-07-12
Category : Science
ISBN : 9780863417412

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Condition Monitoring of Rotating Electrical Machines by Peter Tavner Pdf

"A first edition of Condition Monitoring of Electrical Machines, written by Tavner and Penman, was published in 1987. The economics of industry have now changed, as a result of the privatisation and deregulation of the energy industry, placing emphasis on the importance of reliable operation of plant, throughout the whole life cycle, regardless of first cost. The availability of advanced electronics and software in powerful instrumentation, computers, and digital signal processors (DSP) has simplified our ability to instrument and analyse machinery. As a result condition monitoring is now being applied to a wider range of systems from fault-tolerant drives of a few hundred watts in the aerospace industry, to machinery of a few hundred megawatts in major capital plant." "In this new book the original authors have been joined by Ran, an expert in power electronics and control, and Sedding, an expert in the monitoring of electrical insulation systems. Together the authors have revised and expanded the earlier book, merging their own experience with that of machine analysts to bring it up to date."--BOOK JACKET.