Smart Monitoring of Rotating Machinery for Industry 4.0
portes grátis
Smart Monitoring of Rotating Machinery for Industry 4.0
Zimroz, Radoslaw; Bolaers, Fabrice; Chiementin, Xavier; Haddar, Mohamed; Chaari, Fakher
Springer Nature Switzerland AG
08/2022
178
Mole
Inglês
9783030795214
15 a 20 dias
291
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Smart health monitoring;Canonical Variate Analysis;Machine learning for condition monitoring;Model Based Fault Diagnosis;Algebraic estimator;Damping failure analysis;Gearbox monitoring;Machinery in non-stationary operations;Remaining useful life;Rolling bearing fault;Deep Learning for smart monitoring;Probability density evolution;Reliability analysis;Rotating machine;Bevel gear modelling;Helicoidal gear;Jerk monitoring;Intelligent Prognostic Systems
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Smart health monitoring;Canonical Variate Analysis;Machine learning for condition monitoring;Model Based Fault Diagnosis;Algebraic estimator;Damping failure analysis;Gearbox monitoring;Machinery in non-stationary operations;Remaining useful life;Rolling bearing fault;Deep Learning for smart monitoring;Probability density evolution;Reliability analysis;Rotating machine;Bevel gear modelling;Helicoidal gear;Jerk monitoring;Intelligent Prognostic Systems
