Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland

by Anna Timofiejczuk, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar

Overview

This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.

Product Details

ISBN-13:	9783319619262
Publisher:	Springer International Publishing
Publication date:	03/20/2021
Series:	Applied Condition Monitoring , #9
Edition description:	1st ed. 2018
Pages:	373
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

From the Content: Structural Health Monitoring of Aero-Engines in Non-Stationary Operations.- A New Approach to Tune the Vold-Kalman Estimator for Order Tracking.- Estimation of Cyclic Cumulants of Machinery Vibration Signals in Non-stationary Operation.