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Journal Articles

A Parameterized Prediction Method for Turbulent Jet Noise Based on Physics-Informed Neural Networks

Liang Jiang, Yuzhou Cheng, Kun Luo, Kai Liu, Zhen Cao, Jianren Fan

Publisher: ASME

J. Vib. Acoust. April 2025, 147(2): 021005.

Paper No: VIB-24-1199

https://doi.org/10.1115/1.4067536

Published Online: January 17, 2025

View Articletitled, A Parameterized Prediction Method for Turbulent Jet Noise Based on Physics-Informed Neural Networks

Topics: Noise (Sound), Turbulence, Computational fluid dynamics, Artificial neural networks, Jets, Flow (Dynamics)

Journal Articles

Digital Twin Implementation for Three-Dimensional Rotordynamic Response via Physics-Informed LSTM Neural Networks

Jongin Yang, Joseph Oh, Baik Jin Kim, Alan Palazzolo

Publisher: ASME

J. Vib. Acoust. April 2024, 146(2): 021003.

Paper No: VIB-23-1240

https://doi.org/10.1115/1.4065714

Published Online: July 2, 2024

View Articletitled, Digital Twin Implementation for Three-Dimensional Rotordynamic Response via Physics-Informed LSTM Neural Networks

Topics: Artificial neural networks, Physics, Rotors, Rotordynamics, Digital twin

Journal Articles

Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion

Ozhan Gecgel, Stephen Ekwaro-Osire, Utku Gulbulak, Tobias Souza Morais

Publisher: ASME

J. Vib. Acoust. June 2022, 144(3): 031003.

Paper No: VIB-21-1097

https://doi.org/10.1115/1.4052364

Published Online: October 6, 2021

View Articletitled, Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion

Topics: Artificial neural networks, Data fusion, Dynamic models, Finite element model, Fracture (Materials), Mechanical drives, Noise (Sound), Planetary gears, Stiffness, Gear teeth

Journal Articles

Gain Tuning for High-Speed Vibration Control of a Multilink Flexible Manipulator Using Artificial Neural Network

Waweru Njeri, Minoru Sasaki, Kojiro Matsushita

Publisher: ASME

J. Vib. Acoust. August 2019, 141(4): 041011.

Paper No: VIB-19-1017

https://doi.org/10.1115/1.4043241

Published Online: April 30, 2019

View Articletitled, Gain Tuning for High-Speed Vibration Control of a Multilink Flexible Manipulator Using Artificial Neural Network

Topics: Artificial neural networks, Feedback, Flexible manipulators, Manipulators, Stress, Vibration, Vibration control, Damping

Journal Articles

Experimental and Numerical Studies on Spherical Roller Bearings Using Multivariable Regression Analysis

R. G. Desavale, R. Venkatachalam, S. P. Chavan

Publisher: ASME

J. Vib. Acoust. April 2014, 136(2): 021022.

Paper No: VIB-13-1106

https://doi.org/10.1115/1.4026433

Published Online: February 5, 2014

View Articletitled, Experimental and Numerical Studies on Spherical Roller Bearings Using Multivariable Regression Analysis

Topics: Bearings, Modeling, Regression analysis, Roller bearings, Rotors, Vibration, Rollers, Artificial neural networks, Stress, Damping

Journal Articles

A Novel Method of Designing Quiet Zones in Diffuse Fields

Wen-Kung Tseng

Publisher: ASME

J. Vib. Acoust. February 2013, 135(1): 011001.

Paper No: VIB-11-1001

https://doi.org/10.1115/1.4007451

Published Online: February 4, 2013

View Articletitled, A Novel Method of Designing Quiet Zones in Diffuse Fields

Topics: Algorithms, Artificial neural networks, Design, Optimization, Pressure, Microphones, Waves, Stability, Shapes

Journal Articles

Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

Karthik Kappaganthu, C. Nataraj

Publisher: ASME

J. Vib. Acoust. December 2011, 133(6): 061001.

https://doi.org/10.1115/1.4003400

Published Online: September 9, 2011

View Articletitled, Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

Topics: Bearings, Discrete wavelet transforms, Feature extraction, Feature selection, Flaw detection, Rolling bearings, Artificial neural networks, Signals

Journal Articles

A Methodology for the Modeling of Forced Dynamical Systems From Time Series Measurements Using Time-Delay Neural Networks

John Zolock, Robert Greif

Publisher: ASME

J. Vib. Acoust. February 2009, 131(1): 011003.

https://doi.org/10.1115/1.2981096

Published Online: December 29, 2008

View Articletitled, A Methodology for the Modeling of Forced Dynamical Systems From Time Series Measurements Using Time-Delay Neural Networks

Topics: Artificial neural networks, Delays, Dimensions, Dynamic systems, Modeling, Phase space, Time series, Degrees of freedom, Rail vehicles

Journal Articles

Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy

Dou Wei, Liu Zhan-Sheng

Publisher: ASME

J. Vib. Acoust. February 2009, 131(1): 011002.

https://doi.org/10.1115/1.2980379

Published Online: December 29, 2008

View Articletitled, Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy

Topics: Artificial neural networks, Fault diagnosis, Genetic algorithms, Machinery, Wavelets

Journal Articles

Diagonal Recurrent Neural Networks for MDOF Structural Vibration Control

Z. Q. Gu, S. O. Oyadiji

Publisher: ASME

J. Vib. Acoust. December 2008, 130(6): 061001.

https://doi.org/10.1115/1.2948369

Published Online: October 14, 2008

View Articletitled, Diagonal Recurrent Neural Networks for MDOF Structural Vibration Control

Topics: Artificial neural networks, Control equipment, Earthquakes, Vibration control

Journal Articles

Application of the Laplace-Wavelet Combined With ANN for Rolling Bearing Fault Diagnosis

Khalid F. Al-Raheem, Asok Roy, Ph.D., K. P. Ramachandran, Ph.D., D. K. Harrison, Steven Grainger, Ph.D.

Publisher: ASME

J. Vib. Acoust. October 2008, 130(5): 051007.

https://doi.org/10.1115/1.2948399

Published Online: August 14, 2008

View Articletitled, Application of the Laplace-Wavelet Combined With ANN for Rolling Bearing Fault Diagnosis

Topics: Artificial neural networks, Bearings, Rolling bearings, Vibration, Wavelets, Genetic algorithms, Fault diagnosis, Signals

Journal Articles

Development of a Self-Organized Neuro-Fuzzy Model for System Identification

S. M. Yang, C. J. Chen, Y. Y. Chang, Y. Z. Tung

Publisher: ASME

J. Vib. Acoust. August 2007, 129(4): 507–513.

https://doi.org/10.1115/1.2731417

Published Online: December 14, 2006

View Articletitled, Development of a Self-Organized Neuro-Fuzzy Model for System Identification

Topics: Algorithms, Artificial neural networks, Fuzzy logic, Nonlinear systems, Smart structures, Fuzzy neural nets, Errors, Acoustics, Dynamics (Mechanics), Design

Journal Articles

Optimized Near Minimum Time Control of Flexible Structures Using Variable Gain (LQG) Control Strategies

Rajiv Kumar, S. P. Singh, H. N. Chandrawat

Publisher: ASME

J. Vib. Acoust. June 2006, 128(3): 402–407.

https://doi.org/10.1115/1.2166856

Published Online: August 30, 2005

View Articletitled, Optimized Near Minimum Time Control of Flexible Structures Using Variable Gain (LQG) Control Strategies

Topics: Actuators, Artificial neural networks, Control equipment, Flexible structures, Time optimal control, Vibration, Sensors, Algorithms, Piezoelectric ceramics

Journal Articles

Foreword

Larry Bergman

Publisher: ASME

J. Vib. Acoust. July 2004, 126(3): 325.

https://doi.org/10.1115/1.1777226

Published Online: July 30, 2004

View Articletitled, Foreword

Topics: Acoustics, Dynamics (Mechanics), Microelectromechanical systems, Modeling, Artificial neural networks, Deformation, Engineering disciplines, Fluids, Microscale devices

Journal Articles

Laser Vibrometry Based Detection of Delaminations in Glass/Epoxy Composites

M. Y. Amraoui, N. A. J. Lieven

Publisher: ASME

J. Vib. Acoust. July 2004, 126(3): 430–437.

https://doi.org/10.1115/1.1687390

Published Online: July 30, 2004

View Articletitled, Laser Vibrometry Based Detection of Delaminations in Glass/Epoxy Composites

Topics: Artificial neural networks, Composite materials, Piezoelectric actuators, Delamination, Damage, Testing

Journal Articles

Active Noise Hybrid Feedforward/Feedback Control Using Neural Network Compensation

Zhang Qizhi, Jia Yongle

Publisher: ASME

J. Vib. Acoust. January 2002, 124(1): 100–104.

https://doi.org/10.1115/1.1424296

Published Online: July 1, 2001

View Articletitled, Active Noise Hybrid Feedforward/Feedback Control Using Neural Network Compensation

Topics: Adaptive control, Artificial neural networks, Control equipment, Errors, Feedback, Feedforward control, Noise (Sound), Noise control, Stability, Control systems

Journal Articles

A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

Mahmod M. Samman, Mem. ASME, Senior Associate,

Publisher: ASME

J. Vib. Acoust. January 2001, 123(1): 122–124.

https://doi.org/10.1115/1.1320444

Published Online: July 1, 2000

View Articletitled, A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

Topics: Artificial neural networks, Flaw detection, Pattern recognition, Signals, Vibration

Journal Articles

Helicopter Gearbox Fault Detection: A Neural Network Based Approach

M. R. Dellomo

Publisher: ASME

J. Vib. Acoust. July 1999, 121(3): 265–272.

https://doi.org/10.1115/1.2893975

Published Online: July 1, 1999

View Articletitled, Helicopter Gearbox Fault Detection: A Neural Network Based Approach

Topics: Artificial neural networks, Flaw detection, Mechanical drives, Failure, Physics, Accelerometers, Helicopters, Military systems, Vibration measurement

Journal Articles

Adaptive Vibration Control by a Variable-Damping Dynamic Absorber Using ER Fluid

Shoshi Hidaka, Young Kong Ahn, Shin Morishita

Publisher: ASME

J. Vib. Acoust. July 1999, 121(3): 373–378.

https://doi.org/10.1115/1.2893990

Published Online: July 1, 1999

View Articletitled, Adaptive Vibration Control by a Variable-Damping Dynamic Absorber Using ER Fluid

Topics: Damping, Electrorheological fluids, Vibration control, Fluids, Artificial neural networks, Computer simulation, Control equipment, Control systems, Electric fields, Engineering prototypes

Journal Articles

Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks

P. W. Tse, D. P. Atherton

Publisher: ASME

J. Vib. Acoust. July 1999, 121(3): 355–362.

https://doi.org/10.1115/1.2893988

Published Online: July 1, 1999

View Articletitled, Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks

Topics: Artificial neural networks, Machinery, Vibration, Maintenance, Damage, Sales, Sunspots

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A Parameterized Prediction Method for Turbulent Jet Noise Based on Physics-Informed Neural Networks

Digital Twin Implementation for Three-Dimensional Rotordynamic Response via Physics-Informed LSTM Neural Networks

Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion

Gain Tuning for High-Speed Vibration Control of a Multilink Flexible Manipulator Using Artificial Neural Network

Experimental and Numerical Studies on Spherical Roller Bearings Using Multivariable Regression Analysis

A Novel Method of Designing Quiet Zones in Diffuse Fields

Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

A Methodology for the Modeling of Forced Dynamical Systems From Time Series Measurements Using Time-Delay Neural Networks

Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy

Diagonal Recurrent Neural Networks for MDOF Structural Vibration Control

Application of the Laplace-Wavelet Combined With ANN for Rolling Bearing Fault Diagnosis

Development of a Self-Organized Neuro-Fuzzy Model for System Identification

Optimized Near Minimum Time Control of Flexible Structures Using Variable Gain (LQG) Control Strategies

Foreword

Laser Vibrometry Based Detection of Delaminations in Glass/Epoxy Composites

Active Noise Hybrid Feedforward/Feedback Control Using Neural Network Compensation

A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

Helicopter Gearbox Fault Detection: A Neural Network Based Approach

Adaptive Vibration Control by a Variable-Damping Dynamic Absorber Using ER Fluid

Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks

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