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Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in condition monitoring of machinery in non-stationary operationsedited by Alfonso Fernandez Del Rincon ... [et al.].
Reminder of title:	proceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /
remainder title:	CMMNO'2018
other author:	Fernandez Del Rincon, Alfonso.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	xi, 423 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	MachineryCongresses.Monitoring
Online resource:	https://doi.org/10.1007/978-3-030-11220-2
ISBN:	9783030112202$q(electronic bk.)

Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /
Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /[electronic resource] :CMMNO'2018edited by Alfonso Fernandez Del Rincon ... [et al.]. - Cham :Springer International Publishing :2019. - xi, 423 p. :ill., digital ;24 cm. - Applied condition monitoring,v.152363-698X ;. - Applied condition monitoring ;v.1..

Condition Monitoring in Non-Stationary Operations -- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising -- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes -- Monitoring and Diagnostic Systems -- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration -- Monitoring of a High-Speed Train Bogie Using the EMD Technique -- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals -- Noise and Vibration in Machines -- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft -- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model -- Signal Processing -- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal -- Vibro-Acoustic Diagnosis of Machinery -- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes -- Cyclostationary Approach for Long Term Vibration Data Analysis -- Monitoring of Soil Density During Compaction Processes.

This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. 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'2018, held on June 20 - 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.

ISBN: 9783030112202$q(electronic bk.)

Standard No.: 10.1007/978-3-030-11220-2doiSubjects--Topical Terms:

561178
Machinery
--Monitoring--Congresses.

LC Class. No.: TA355 / .I57 2018

Dewey Class. No.: 620

Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /
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520 $a This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. 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'2018, held on June 20 - 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.
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