Vibration Monitoring And Analysis
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Mechanical Vibrations and Condition Monitoring
Author: Juan Carlos A. Jauregui Correa
language: en
Publisher: Academic Press
Release Date: 2020-03-01
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
Vibration Monitoring and Analysis Handbook
This handbook covers all levels of the syllabus given in ISO 18436-2 for Vibration Condition Monitoring and Diagnostics and the BINDT specification - general requirements for qualification and assessment of condition monitoring and diagnostic personnel, giving practical advice, examples and case histories.
Intelligent Condition Monitoring and Diagnosis Systems
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.