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会议文集
文集名
Proceedings of the 10th International Conference on Rotor Dynamics - IFToMM
会议名
10th IFToMM International Conference on Rotor Dynamics
中译名
《第十届IFToMM国际转子动力学会议,卷2》
机构
International Federation for the Promotion of Mechanism and Machine Science (IFToMM)
会议日期
September 23-27, 2018
会议地点
Rio de Janeiro, Brazil
出版年
2019
馆藏号
328338
题名
作者
出版年
Crack Detection and Dynamic Analysis of a Cracked Rotor with Soft Bearings Using Different Methods of Solution
Lucas Rangel de Oliveira; Gilberto Pechoto de Melo
2019
Nuclear Reactor Heat Transfer Pump Rotordynamic Based Diagnostics and Field Data Model Reconciliation
Juan Hidalgo; Ronald J. O'Brien
2019
Performance Analysis of Support Vector Machine and Wavelet Packet Transform Based Fault Diagnostics of Induction Motor at Various Operating Conditions
Purushottam Gangsar; Rajiv Tiwari
2019
Multi Fault Diagnosis of Centrifugal Pumps with Time, Frequency and Wavelet-Based Features Using Support Vector Machines
Janani Shruti Rapur; Rajiv Tiwari
2019
Interpretation of Dynamic Data Plots for Troubleshooting and Resolving Vibration in Large Rotating Machinery
Zlatan Racic; Marin Racic
2019
Application of Machine Learning in Diesel Engines Fault Identification
Denys Pestana-Viana; Ricardo H. R. Gutierrez; Amaro A. de Lima; Fabricio L. e Silva; Luiz Vaz; Thiago de M. Prego; Ulisses A. Monteiro
2019
Detection of Cracks in a Rotating Shaft Using Density Characterization of Orbit Plots
T. Haj Mohamad; A. A. Cavalini, Jr.; V. Steffen, Jr.; C. Nataraj
2019
Model-Based Vibration Condition Monitoring for Fault Detection and Diagnostics in Large Hydrogenerators
Geraldo Carvalho Brito, Jr.; Roberto Dalledone Machado; Anselmo Chaves Neto
2019
Monitoring of Induction Motor Mechanical and Electrical Faults by Optimum Multiclass-Support Vector Machine Algorithms Using Genetic Algorithm
D. J. Bordoloi; Rajiv Tiwari
2019
Speed Dependent Dynamic Parameters Estimation of a Rotor-Bearing-Coupling System
M. Satapathy; M. Lal
2019
Application of Machine Learning to Evaluate Unbalance Severity in Rotating Machines
Dionisio H. C. de S. S. Martins; Douglas O. Hemerly; Matheus Marins; Amaro A. Lima; Fabricio L. Silva; Thiago de M. Prego; Felipe M. L. Ribeiro; Sergio L. Netto; Eduardo A. B. da Silva
2019
Analysis of a Rotating Machine Flexibly Supported by Vibration Isolating Materials
Hiroyuki Fujiwara; Keiji Watanabe; Shigeharu Hayashi
2019
Machine Learning in Crack Size Estimation of a Spur Gear Pair Using Simulated Vibration Data
Ozhan Gecgel; Stephen Ekwaro-Osire; Joao Paulo Dias; Abraham Nispel; Fisseha M. Alemayehu; Abdul Serwadda
2019
Some Examples of Incomplete Diagnostic Analyses of Industrial Machinery
Nicolo Bachschmid
2019
Machine Diagnosis as a Standardized Approach
Aly El-Shafei
2019
Rotor Orbits at Operation Speed and Model-Based Diagnosis of Multiple Errors
Thomas Thuemmel; Markus Rossner; Christian Wagner; Johannes Maierhofer; Daniel Rixen
2019
Intelligent Condition Monitoring for Rotating Machinery Using Compressively-Sampled Data and Sub-space Learning Techniques
H. O. A. Ahmed; A. K. Nandi
2019
Rotor-Stator Partial Rub Detection Based on Teager-Huang Transform
Sanjin Braut; Roberto Zigulic; Goranka Stimac Roncevic; Ante Skoblar
2019
Vibration Based Condition Monitoring of Planetary Gearboxes Operating Under Speed Varying Operating Conditions Based on Cyclo-non-stationary Analysis
Alexandre Mauricio; Junyu Qi; Wade Smith; Robert Randall; Konstantinos Gryllias
2019
Differentiating Tooth Root Cracks and Spalls in Planet Gears from Changes in the Transmission Error
Dikang Peng; Wade A. Smith; Robert B. Randall
2019
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