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Journal Articles

Comparison of Convolutional Neural Networks Using Gramian Angular Difference Field, Recurrence Plot, and Markov Transition Fields for Rotor Imbalance Detection in Wind Turbines

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Júlio Oliveira Schmidt, Lucas Franca Aires, Guilherme R. Hübner, Humberto Pinheiro, Daniel Fernando Tello Gamarra
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1005
https://doi.org/10.1115/1.4068711
Published Online: May 17, 2025
View Articletitled, Comparison of Convolutional Neural Networks Using Gramian Angular Difference Field, Recurrence Plot, and Markov Transition Fields for Rotor Imbalance Detection in Wind Turbines
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Topics: Convolutional neural networks, Risk, Rotors, Wind turbines
Journal Articles

LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction

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Júlio Oliveira Schmidt, Lucas França Aires, Guilherme Ricardo Hubner, Humberto Pinheiro, Daniel Fernando Tello Gamarra
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031202.
Paper No: RISK-23-1070
https://doi.org/10.1115/1.4064375
Published Online: February 1, 2024
View Articletitled, LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction
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Topics: Algorithms, Artificial neural networks, Spectral energy distribution, Wind turbines, Rotors, Blades
Journal Articles

Verification and Validation of Rotating Machinery Using Digital Twin

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Yasar Yanik, Stephen Ekwaro-Osire, João Paulo Dias, Edgard Haenisch Porto, Diogo Stuani Alves, Tiago Henrique Machado, Gregory Bregion Daniel, Helio Fiori de Castro, Katia Lucchesi Cavalca
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2024, 10(1): 011104.
Paper No: RISK-22-1072
https://doi.org/10.1115/1.4063892
Published Online: January 8, 2024
View Articletitled, Verification and Validation of Rotating Machinery Using Digital Twin
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Topics: Bearings, Digital twin, Disks, Machinery, Rotors, Simulation, Computer simulation
Journal Articles

Uncertainty Quantification and Sensitivity Analysis for the Self-Excited Vibration of a Spline-Shafting System

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Xinxing Ma, Yucai Zhong, Peng Cao, Jie Yuan, Zhenguo Zhang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2023, 9(4): 041104.
Paper No: RISK-23-1030
https://doi.org/10.1115/1.4063069
Published Online: October 3, 2023
View Articletitled, Uncertainty Quantification and Sensitivity Analysis for the Self-Excited Vibration of a Spline-Shafting System
Open the PDF for Uncertainty Quantification and Sensitivity Analysis for the Self-Excited Vibration of a Spline-Shafting System in another window
Topics: Friction, Sensitivity analysis, Splines, Uncertainty, Vibration, Rotors, Uncertainty quantification, Polynomials, Torque, Displacement
Journal Articles

Robust Dynamic Balancing of Dual Rotor-Active Magnetic Bearing System Through Virtual Trial Unbalances as Low and High Frequency Magnetic Excitation

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Gyan Ranjan, Rajiv Tiwari, H. B. Nemade
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011203.
Paper No: RISK-22-1015
https://doi.org/10.1115/1.4054695
Published Online: June 28, 2022
View Articletitled, Robust Dynamic Balancing of Dual Rotor-Active Magnetic Bearing System Through Virtual Trial Unbalances as Low and High Frequency Magnetic Excitation
Open the PDF for Robust Dynamic Balancing of Dual Rotor-Active Magnetic Bearing System Through Virtual Trial Unbalances as Low and High Frequency Magnetic Excitation in another window
Topics: Disks, Displacement, Excitation, Magnetic bearings, Rotors
Journal Articles

Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation

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Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias, Guilherme R. Hübner, Claiton M. Franchi, Humberto Pinheiro
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011201.
Paper No: RISK-21-1069
https://doi.org/10.1115/1.4054420
Published Online: June 2, 2022
View Articletitled, Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation
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Topics: Artificial neural networks, Data fusion, Rotors, Sensitivity analysis, Wind turbines, Time series, Wind velocity, Algorithms
Journal Articles

Improving Site-Dependent Wind Turbine Performance Prediction Accuracy Using Machine Learning

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Sarah Barber, Florian Hammer, Adrian Tica
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2022, 8(2): 021102.
Paper No: RISK-21-1026
https://doi.org/10.1115/1.4053513
Published Online: March 1, 2022
View Articletitled, Improving Site-Dependent Wind Turbine Performance Prediction Accuracy Using Machine Learning
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Topics: Artificial neural networks, Machine learning, Simulation, Wind farms, Wind turbines, Wind velocity, Deflection, Blades, Errors, Turbulence
Journal Articles

Experimental Frequency-Domain Vibration Based Fault Diagnosis of Roller Element Bearings Using Support Vector Machine

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Vishal G. Salunkhe, R. G. Desavale, T. Jagadeesha
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2021, 7(2): 021001.
Paper No: RISK-20-1071
https://doi.org/10.1115/1.4048770
Published Online: May 10, 2021
View Articletitled, Experimental Frequency-Domain Vibration Based Fault Diagnosis of Roller Element Bearings Using Support Vector Machine
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Topics: Bearings, Rollers, Support vector machines, Vibration, Rotors, Dimensions
Journal Articles

Comparing Principal Component Analysis and Mahalanobis–Taguchi System to Detect Unbalance in a Centrifugal Compressor in a Floating Production Storage and Offloading

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Miguel Angelo de Carvalho Michalski, Italo Skovroski de Melo, Gilberto Francisco Martha de Souza
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2019, 5(4): 041012.
Paper No: RISK-18-1058
https://doi.org/10.1115/1.4044041
Published Online: October 4, 2019
View Articletitled, Comparing Principal Component Analysis and Mahalanobis–Taguchi System to Detect Unbalance in a Centrifugal Compressor in a Floating Production Storage and Offloading
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Topics: Bearings, Compressors, FPSO, Machinery, Mahalanobis-Taguchi system, Principal component analysis, Vibration, Rotors, Temperature
Journal Articles

Effect of Condition Monitoring on Risk Mitigation for Steam Turbines in the Forest Products Industry

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Bin Zhou, Kumar Bhimavarapu
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2017, 3(3): 031003.
Paper No: RISK-16-1009
https://doi.org/10.1115/1.4035704
Published Online: June 12, 2017
View Articletitled, Effect of Condition Monitoring on Risk Mitigation for Steam Turbines in the Forest Products Industry
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Topics: Bearings, Condition monitoring, Cracking (Materials), Failure, Fracture (Process), Risk, Risk mitigation, Rotors, Steam turbines, Turbines
Journal Articles

Analysis of Influence of Fast-Cut-Back Test on 1000-MW Steam Turbine Safety

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Dan-mei Xie, Yi Yang, Chang Chen, Peng-fei Hu, Jie Guo, Wei Jiang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research Papers
ASME J. Risk Uncertainty Part B. December 2016, 2(4): 041004.
Paper No: RISK-15-1039
https://doi.org/10.1115/1.4033452
Published Online: August 19, 2016
View Articletitled, Analysis of Influence of Fast-Cut-Back Test on 1000-MW Steam Turbine Safety
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Topics: Condensers (steam plant), Cylinders, Exhaust systems, Rotors, Safety, Steam, Steam turbines, Stress, Temperature, Turbines
Journal Articles

PowerGen Gas Turbine Losses and Condition Monitoring: A Loss Data-Based Study

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Bin Zhou
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2016, 2(2): 021007.
Paper No: RISK-15-1024
https://doi.org/10.1115/1.4031915
Published Online: January 4, 2016
View Articletitled, PowerGen Gas Turbine Losses and Condition Monitoring: A Loss Data-Based Study
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Topics: Blades, Failure, Gas turbines, Turbines, Vibration, Condition monitoring, Rotors, Pressure, Fluids, Temperature