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

Ahmed Felkaoui, Fakher Chaari, Mohamed Haddar (Herausgeber)

Buch | Hardcover

VIII, 133 Seiten

2018 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-319-96180-4 (ISBN)

Artikel merken

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.

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.

Erscheinungsdatum	21.07.2018
Reihe/Serie	Applied Condition Monitoring
Zusatzinfo	VIII, 133 p. 84 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	373 g
Themenwelt	Technik ► Bauwesen
Themenwelt	Technik ► Maschinenbau
Schlagworte	Damage monitoring techniques • digital signal processing • Fault detection methods • Fault modeling • Intelligent Fault Diagnosis • Machine modeling • Noise monitoring systems • Quality Control, Reliability, Safety and Risk • Rotating machinery diagnostics • SIGROMD2017 workshop • Vibration analysis of machinery • Vibration Signal Analysis • Vibration signature
ISBN-10	3-319-96180-2 / 3319961802
ISBN-13	978-3-319-96180-4 / 9783319961804
Zustand	Neuware