Proceedings of the 10th International Conference on Rotor Dynamics - IFToMM Vol. 2 /
IFToMM conferences have a history of success due to the various advances achieved in the field of rotor dynamics over the past three decades. These meetings have since become a leading global event, bringing together specialists from industry and academia to promote the exchange of knowledge, ideas,...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | Mechanisms and Machine Science,
61 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Crack Detection and Dynamic Analysis of a Cracked Rotor with Soft Bearings Using Different Methods of Solution
- Nuclear Reactor Heat Transfer Pump Rotordynamic Based Diagnostics and field Data Model Reconciliation
- Performance Analysis of Support Vector Machine and Wavelet Packet Transform based Fault Diagnostics of Induction Motor at Various Operating Conditions
- Multi Fault Diagnosis of Centrifugal Pumps with Time, Frequency and Wavelet based Features using Support Vector Machines
- Interpretation of Dynamic Data Plots for Troubleshooting and Resolving Vibration in Large Rotating Machinery
- Prediction of Dynamic Characteristics Induced by Rubbing Between Rotating Blade and Casing
- Application of Machine Learning in Diesel Engines Fault Identification
- Detection of Cracks in a Rotating Shaft Using Density Characterization of Orbit Plots
- Model-Based Vibration Condition Monitoring for Fault Detection and Diagnostics Applied to Large Hydro Generators
- Monitoring of Induction Motor Mechanical and Electrical Faults by Optimum Multiclass-Support Vector Machine Algorithms Using Genetic Algorithm
- Application of Deep Stacked Auto-Encoder Neural Networks to Feature Learning for Intelligent Diagnosis of Machine Condition.
