Mechanical Vibrations and Condition Monitoring

Juan Carlos A. Jauregui Correa, Alejandro A. Lozano Guzman

• Publisher: Academic Press
• Year: 2020
• Print ISBN: 9780128197967
• eBook ISBN: 9780128203903
• Topic: Technology & Engineering
• Subtopic: Mechanical Engineering
• Index: Technology & Engineering

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

Chapter One

Fundamentals of mechanical vibrations

Abstract

The basis for most conditioning monitoring systems is the analysis of vibration signals. Thus, a fundamental way to understand the causes and effects of vibrations is the study of the oscillatory movements and the interactions among the different components of a machine or a set of machines. These oscillatory movements, in the context of design and machinery analysis, are known as mechanical vibrations, or more generically vibrations. The essence of conditioning monitoring is the analysis of the relationship between the input signal (the source of vibration) and the output response (the output signal), and the evolution of the dynamic behavior of the machine. In most cases, the machinery can be considered a linear system, although there are some particular cases that will be analyzed in other chapters, and the output signal will be a linear response of the excitation forces. Even though a machine is a complex system composed of a large number of mechanical elements, its dynamic response can be represented as a simple lumped-mass system.

Keywords

Mechanical vibrations; Forced vibrations; Free vibrations; Multiple degrees of freedom; Continuous systems

General considerations

The basis for most conditioning monitoring systems is the analysis of vibration signals. Thus, a fundamental part to understand the causes and effects of vibrations is the study of oscillatory movements and the interactions among the different components of a machine or a set of machines. These oscillatory movements, in the context of design and machinery analysis, are known as mechanical vibrations or, more generically, vibrations. The essence of conditioning monitoring is the analysis of the relationship between the input signal (the source of vibration) and the output response (the output signal), and the evolution of the dynamic behavior of the machine. In most cases, the machinery can be considered as a lineal system, although there are some particular cases that will be analyzed in other chapters, and the...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Introduction
• Chapter One: Fundamentals of mechanical vibrations
• Chapter Two: Spectral analysis
• Chapter Three: Instruments
• Chapter Four: Causes and effects of vibration
• Chapter Five: Alignment and balancing methods
• Chapter Six: Practical cases
• Chapter Seven: Guidelines for the implementation of a predictive maintenance program
• Chapter Eight: Condition monitoring
• Annexure
• Index