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Introduction to Machinery Analysis and Monitoring

Introduction to Machinery Analysis and Monitoring
Author: John Steward Mitchell
Publisher: Pennwell Books
Total Pages: 586
Release: 1993
Genre: Technology & Engineering
ISBN:

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This edition examines a technology that has significantly improved reliability and reduced maintenance costs for a broad range of industrial organizations' machinery analysis. Chapter 15 is for readers who are new to the benefits of on-condition or predictive maintenance. It helps them to gain a perspective prior to focusing on the specifics of the technology and implemenation.


Introduction to Machine Vibration

Introduction to Machine Vibration
Author: Glenn D. White
Publisher:
Total Pages: 24
Release: 2008
Genre: Machinery
ISBN: 9780982051740

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The purpose of this book is to serve as a reference text for the maintenance engineer and technician who is working with condition monitoring and predictive machinery maintenance technology. Broadly speaking, the subject is the principles of vibration theory and analysis as they apply to the determination of machine operating characteristics and deficiencies. The first chapter underscores the importance of vibration analysis in the field of predictive maintenance and root cause failure analysis.The chapters on vibration theory and frequency analysis lay the groundwork for the chapter on machine fault diagnostics based on vibration measurement and analysis. A systematic approach is used here to guide the reader through a logical sequence of steps to determine a machine's condition by detailed examination of vibration signatures.


Mechanical Vibrations and Condition Monitoring

Mechanical Vibrations and Condition Monitoring
Author: Juan Carlos A. Jauregui Correa
Publisher: Academic Press
Total Pages: 208
Release: 2020-03-18
Genre: Technology & Engineering
ISBN: 012819796X

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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


Condition Monitoring with Vibration Signals

Condition Monitoring with Vibration Signals
Author: Hosameldin Ahmed
Publisher: John Wiley & Sons
Total Pages: 456
Release: 2020-01-07
Genre: Technology & Engineering
ISBN: 1119544629

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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.


Machinery Condition Monitoring

Machinery Condition Monitoring
Author: Amiya Ranjan Mohanty
Publisher: CRC Press
Total Pages: 282
Release: 2014-12-22
Genre: Science
ISBN: 1466593059

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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.


Basic Machinery Vibrations

Basic Machinery Vibrations
Author: Ronald L. Eshleman
Publisher: Vipress
Total Pages:
Release: 1999-01-01
Genre: Machinery
ISBN: 9780966950007

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Practical Machinery Vibration Analysis and Predictive Maintenance

Practical Machinery Vibration Analysis and Predictive Maintenance
Author: Cornelius Scheffer
Publisher: Elsevier
Total Pages: 263
Release: 2004-07-16
Genre: Technology & Engineering
ISBN: 0080480225

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Machinery Vibration Analysis and Predictive Maintenance provides a detailed examination of the detection, location and diagnosis of faults in rotating and reciprocating machinery using vibration analysis. The basics and underlying physics of vibration signals are first examined. The acquisition and processing of signals is then reviewed followed by a discussion of machinery fault diagnosis using vibration analysis. Hereafter the important issue of rectifying faults that have been identified using vibration analysis is covered. The book also covers the other techniques of predictive maintenance such as oil and particle analysis, ultrasound and infrared thermography. The latest approaches and equipment used together with the latest techniques in vibration analysis emerging from current research are also highlighted. Understand the basics of vibration measurement Apply vibration analysis for different machinery faults Diagnose machinery-related problems with vibration analysis techniques


Vibration Problems in Machines

Vibration Problems in Machines
Author: Arthur W. Lees
Publisher: CRC Press
Total Pages: 362
Release: 2020-07-02
Genre: Science
ISBN: 1000065901

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Vibration Problems in Machines explains how to infer information about the internal operations of rotating machines from external measurements through methods used to resolve practical plant problems. Second edition includes summary of instrumentation, methods for establishing machine rundown data, relationship between the rundown curves and the ideal frequency response function. The section on balancing has been expanded and examples are given on the strategies for balancing a rotor with a bend, with new section on instabilities. It includes case studies with real plant data, MATLAB® scripts and functions for the modelling and analysis of rotating machines.


Handbook of Condition Monitoring

Handbook of Condition Monitoring
Author: B. K. N. Rao
Publisher: Elsevier
Total Pages: 862
Release: 1996
Genre: Business & Economics
ISBN: 9781856172349

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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.