Mechanical Vibrations and Condition Monitoring

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

1. Fundamentals of mechanical vibrations
2. Spectral analysis
3. Instruments
4. Causes and effects of vibration
5. Alignment and balancing methods
6. Practical cases
7. Guidelines for the implementation of a predictive maintenance program
8. Conditioning monitoring

Juan Carlos Jauregui is a Professor at the Universidad Autonoma de Queretaro, in Mexico, where he researches the design and dynamics of machinery. He obtained his PhD at the University of Wisconsin-Milwaukee. He has been responsible for the design of a large number of automatic, tailor-made industrial machines, and the development of monitoring systems based on vibration analysis. He is a member of ASME (the American Society of Mechanical Engineers), the Mexican Society of Mechanical Engineering, the Academy of Engineering (Mexico), IFToMM, and the National Research System, the most prestigious research evaluation program in Mexico. He has published over 70 papers in international journals, several chapters, and three books, including Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration, also published by Elsevier (in 2014). Along with Alejandro Lozano-Guzman, he pioneered the introduction to Mexico of monitoring systems based on vibration analysis.
Alejandro Lozano-Guzman is a Professor at CICATA Querétaro, in Mexico. His research focusses on mechanical systems analysis, particularly mechanical vibrations and condition monitoring systems. He holds a PhD from the University of Newcastle upon Tyne in the UK. He was a founding member of the Mexican Society for Mechanical Engineering, President of the Specialty of Mechanical Engineering at the Mexican Academy of Engineering, Secretary of the National Network of Science and Technology Councils, and organizer of the Aerospace Research and Innovation Network for Querétaro. He has published 31 articles in mechanical systems analysis and is a member of the National Research System. Along with Juan Carlos Jauregui, he pioneered the introduction to Mexico of monitoring systems based on vibration analysis.