Rotating Machinery and Signal Processing: Proceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD’2017, April 09-11, 2017, Setif, Algeria: Applied Condition Monitoring, cartea 12
Editat de Ahmed Felkaoui, Fakher Chaari, Mohamed Haddaren Limba Engleză Hardback – 20 iul 2018
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Specificații
ISBN-13: 9783319961804
ISBN-10: 3319961802
Pagini: 143
Ilustrații: VIII, 133 p. 84 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.38 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Applied Condition Monitoring
Locul publicării:Cham, Switzerland
ISBN-10: 3319961802
Pagini: 143
Ilustrații: VIII, 133 p. 84 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.38 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Applied Condition Monitoring
Locul publicării:Cham, Switzerland
Cuprins
From the content: Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis.- A Intelligent Gear Fault Diagnosis in Normal and Non-Stationary Conditions Based on Instantaneous Angular Speed, Differential Evolution and Multi-class Support Vector Machine.- Effect of Input Data on The Neural Networks Performance Applied in Bearing Fault Diagnosis.
Textul de pe ultima copertă
This book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics Laboratory (LMPA) at the Institute of Precision Mechanics, University of Setif, Algeria and the Laboratory of Mechanics, Modeling and Manufacturing (LA2MP) at the National School of Engineers of Sfax. The respective chapters highlight research conducted by the two laboratories on the following main topics: noise and vibration in machines; condition monitoring in non-stationary operations; vibro-acoustic diagnosis of machinery; signal processing and pattern recognition methods; monitoring and diagnostic systems; and dynamic modeling and fault detection.
Caracteristici
Reports on advanced methods for gearbox failure detection Describes applications of artificial neural networks, time-frequency filtering and support vector machines Discusses physical and mathematical fundamentals Highlights industrially-relevant applications