TY  - BOOK
AU  - Chaari,Fakher
AU  - Chiementin,Xavier
AU  - Zimroz,Radoslaw
AU  - Bolaers,Fabrice
AU  - Haddar,Mohamed
ED  - SpringerLink (Online service)
TI  - Smart Monitoring of Rotating Machinery for Industry 4.0
T2  - Applied Condition Monitoring,
SN  - 9783030795191
AV  - TK2313 
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Machinery
KW  - Signal processing
KW  - Dynamics
KW  - Nonlinear theories
KW  - Machinery and Machine Elements
KW  - Digital and Analog Signal Processing
KW  - Applied Dynamical Systems
KW  - Electric machinery -- Monitoring
KW  - Machine learning
KW  - Industry 4.0
N1  - Vulnerabilities and fruits of smart monitoring -- A tutorial on Canonical Variate Analysis for diagnosis and prognosis -- A structured approach to machine learning for condition monitoring -- A structured approach to machine learning for condition monitoring: a case study -- Dynamic Reliability Assessment of Structures and Machines Using the Probability Density Evolution Method -- Rotating machinery condition monitoring methods for applications with different kinds of available prior knowledge -- Model Based Fault Diagnosis in Bevel Gearbox -- Investigating the electro-mechanical interaction between helicoidal gears andan asynchronous geared motor -- Algebraic estimator of damping failure for au-tomotive Shock Absorber -- On the use of jerk for condition monitoring of gearboxes in non-stationary operations -- Dynamic remaining useful life estimation for a shaft bearings system.
N2  - This book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and professionals dealing with condition monitoring, and mechanical and production engineering issues, in the era of industry 4.0
UR  - https://doi.org/10.1007/978-3-030-79519-1
ER  -