Introduction To Machine Vibration
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Introduction to Machine Vibration
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.
Condition Monitoring with Vibration Signals
Author: Hosameldin Ahmed
language: en
Publisher: John Wiley & Sons
Release Date: 2020-01-07
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.
System Dynamics and Mechanical Vibrations
Author: Dietmar Findeisen
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
The Aim ofthe Book. This book is concerned with the subjects of vibrations and system dynamics on an integrated basis. Design engineers find themselves confronted with demands made on machin ery, structures and dynamic systems which are increasing at such a rate that dy namic performance requirements are always rising. Hence, advances in analysis and design techniques have to keep pace with recent developments in strong lightweight materials, more extensive knowledge of materials properties and structural loading. Whereas the excitation applied to structures is always increas ing, the machine mass and damping is reduced. Consequently, unwanted vibra tions can have very serious effects on dynamic systems. It is, therefore, essential to carry out vibration analysis as an inherent part of machine design. The problems arising either from the observed or predicted dynamic behaviour of systems are of particular interest in control theory. Vibration theory places emphasis on analysis, which implies determining the response to given excita tions, and any design amounts to changing the system parameters so as to bring about a satisfactory response. The improvement in performance achieved by changing solely the parameters of the mechanical system is very limited. How ever, a new approach to system design has proved to be more successful. It con sists of designing forces that, when exerted on the system, produce a satisfactory response. This approach, known as control, has become a ubiquitous part of the engineering curriculum, completing the conventional mechanical disciplines.