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Journal Articles

Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems

Zhou Kai, Qianyu Zhou, Jiong Tang
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 2025, 11(1): 011106.
Paper No: RISK-24-1059
https://doi.org/10.1115/1.4067001
Published Online: November 27, 2024
View Article titled, Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems
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Topics: Convolutional neural networks, Deep learning, Fault diagnosis, Gears, Machinery, Noise (Sound), Testing, Uncertainty, Vibration, Probability
Journal Articles

Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network

Jianhong Liang, Liping Wang, Guang Yu, Jun Wu, Dong Wang, Song Lin
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 2024, 10(2): 021102.
Paper No: RISK-23-1049
https://doi.org/10.1115/1.4064642
Published Online: February 28, 2024
View Article titled, Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network
Open the PDF for Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network in another window
Topics: Errors, Rotation, Signals, Vibration
Journal Articles

Investigation of the Dynamic Performance of High-Speed Railway Bridges in Cold Regions Based on Vehicle–Bridge Coupling Vibrations

Qingfei Gao, Qiyuan Li, Haoran Wang, Jiaqiang Zhang, Tong Wang
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 2024, 10(2): 021101.
Paper No: RISK-23-1061
https://doi.org/10.1115/1.4063595
Published Online: February 15, 2024
View Article titled, Investigation of the Dynamic Performance of High-Speed Railway Bridges in Cold Regions Based on Vehicle–Bridge Coupling Vibrations
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Topics: Bridges (Structures), Cycles, Displacement, High speed rail, Soil, Trains, Vehicles, Vibration, Cold climates, Pilings (Building)
Journal Articles

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

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 Article titled, Uncertainty Quantification and Sensitivity Analysis for the Self-Excited Vibration of a Spline-Shafting System
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Topics: Friction, Sensitivity analysis, Splines, Uncertainty, Vibration, Rotors, Uncertainty quantification, Polynomials, Torque, Displacement
Journal Articles

Rolling Bearing Damage Evaluation by the Dynamic Process From Self-Induced Resonance to System Resonance of a Duffing System

Shuai Zhang, Zhongqiu Wang, Jianhua Yang
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): 011202.
Paper No: RISK-22-1010
https://doi.org/10.1115/1.4054694
Published Online: June 28, 2022
View Article titled, Rolling Bearing Damage Evaluation by the Dynamic Process From Self-Induced Resonance to System Resonance of a Duffing System
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Topics: Corrosion, Damage, Resonance, Rolling bearings, Signals, Vibration
Journal Articles

A Novel Method to Classify Rolling Element Bearing Faults Using K -Nearest Neighbor Machine Learning Algorithm

More A. Vishwendra, Pratiksha S. Salunkhe, Shivanjali V. Patil, Sumit A. Shinde, P. V. Shinde, R. G. Desavale, P. M. Jadhav, Nagaraj V. Dharwadkar
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 2022, 8(3): 031202.
Paper No: RISK-21-1061
https://doi.org/10.1115/1.4053760
Published Online: March 18, 2022
View Article titled, A Novel Method to Classify Rolling Element Bearing Faults Using K -Nearest Neighbor Machine Learning Algorithm
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Topics: Bearings, Signals, Algorithms, Machine learning, Vibration, Rolling bearings
Journal Articles

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

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 Article titled, 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

Roller Element Bearing Fault Size Estimation Using Adaptive Neurofuzzy Inference System

Sushant M. Patil, R. G. Desavale, Surajkumar G. Kumbhar
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 2021, 7(1): 011001.
Paper No: RISK-19-1094
https://doi.org/10.1115/1.4048656
Published Online: January 22, 2021
View Article titled, Roller Element Bearing Fault Size Estimation Using Adaptive Neurofuzzy Inference System
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Topics: Bearings, Vibration
Journal Articles

Uncertainty Analysis of Piezoelectric Vibration Energy Harvesters Using a Finite Element Level-Based Maximum Entropy Approach

X. Q. Wang, Yabin Liao, Marc P. Mignolet
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 2021, 7(1): 010906.
Paper No: RISK-20-1013
https://doi.org/10.1115/1.4049208
Published Online: January 21, 2021
View Article titled, Uncertainty Analysis of Piezoelectric Vibration Energy Harvesters Using a Finite Element Level-Based Maximum Entropy Approach
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Topics: Energy harvesting, Excitation, Finite element analysis, Modeling, Stiffness, Stress, Uncertainty, Uncertainty analysis, Vibration, Entropy
Journal Articles

Parametric Uncertainty and Random Excitation in Energy Harvesting Dynamic Vibration Absorber

M. Rajarathinam, Shaikh Faruque Ali
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 2021, 7(1): 010905.
Paper No: RISK-20-1037
https://doi.org/10.1115/1.4049211
Published Online: January 21, 2021
View Article titled, Parametric Uncertainty and Random Excitation in Energy Harvesting Dynamic Vibration Absorber
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Topics: Damping, Energy harvesting, Uncertainty, Vibration absorbers, Random excitation, Displacement, Excitation, Vibration
Journal Articles

On the Effect of the Electrical Load on Vibration Energy Harvesting Under Stochastic Resonance

Panagiotis Alevras
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 2021, 7(1): 010902.
Paper No: RISK-20-1019
https://doi.org/10.1115/1.4049209
Published Online: January 21, 2021
View Article titled, On the Effect of the Electrical Load on Vibration Energy Harvesting Under Stochastic Resonance
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Topics: Capacitors, Circuits, Electric load, Energy harvesting, Excitation, Resonance, Stress, Vibration, Damping, Dynamics (Mechanics)
Journal Articles

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

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 Article titled, Comparing Principal Component Analysis and Mahalanobis–Taguchi System to Detect Unbalance in a Centrifugal Compressor in a Floating Production Storage and Offloading
Open the PDF for Comparing Principal Component Analysis and Mahalanobis–Taguchi System to Detect Unbalance in a Centrifugal Compressor in a Floating Production Storage and Offloading in another window
Topics: Bearings, Compressors, FPSO, Machinery, Mahalanobis-Taguchi system, Principal component analysis, Vibration, Rotors, Temperature
Journal Articles

Online Diagnostics of Mechanical and Electrical Faults in Induction Motor Using Multiclass Support Vector Machine Algorithms Based on Frequency Domain Vibration and Current Signals

Purushottam Gangsar, Rajiv Tiwari
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 2019, 5(3): 031001.
Paper No: RISK-16-1141
https://doi.org/10.1115/1.4043268
Published Online: June 10, 2019
View Article titled, Online Diagnostics of Mechanical and Electrical Faults in Induction Motor Using Multiclass Support Vector Machine Algorithms Based on Frequency Domain Vibration and Current Signals
Open the PDF for Online Diagnostics of Mechanical and Electrical Faults in Induction Motor Using Multiclass Support Vector Machine Algorithms Based on Frequency Domain Vibration and Current Signals in another window
Topics: Fault diagnosis, Motors, Signals, Stress, Support vector machines, Vibration, Electromagnetic induction, Testing, Engines, Algorithms
Journal Articles

Drillstring Failure—Identification, Modeling, and Experimental Characterization

Jamil Abdo, Edris M. Hassan, Khaled Boulbrachene, Jan C. T. Kwak
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 2019, 5(2): 021004.
Paper No: RISK-18-1023
https://doi.org/10.1115/1.4041638
Published Online: April 17, 2019
View Article titled, Drillstring Failure—Identification, Modeling, and Experimental Characterization
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Topics: Drill strings, Failure, Fatigue failure, Vibration, Modeling, Torque, Drilling
Journal Articles

A Clustering-Based Framework for Performance Degradation Prediction of Slewing Bearing Using Multiple Physical Signals

Peng Ding, Hua Wang, Yongfen Dai
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 2019, 5(2): 020908.
Paper No: RISK-18-1055
https://doi.org/10.1115/1.4042843
Published Online: April 15, 2019
View Article titled, A Clustering-Based Framework for Performance Degradation Prediction of Slewing Bearing Using Multiple Physical Signals
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Topics: Bearings, Signals, Vibration, Temperature, Self-organization, Torque, Failure
Journal Articles

The Application of Downhole Vibration Factor in Drilling Tool Reliability Big Data Analytics—A Review

Yali Ren, Ning Wang, Jinwei Jiang, Junxiao Zhu, Gangbing Song, Xuemin Chen
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 2019, 5(1): 010801.
Paper No: RISK-17-1087
https://doi.org/10.1115/1.4040407
Published Online: August 14, 2018
View Article titled, The Application of Downhole Vibration Factor in Drilling Tool Reliability Big Data Analytics—A Review
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Topics: Drilling, Failure, Maintenance, Reliability, Vibration
Journal Articles

Generic Approach for Risk Assessment of Offshore Piping Subjected to Vibration Induced Fatigue

Arvind Keprate, R. M. Chandima Ratnayake
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 2018, 4(2): 021006.
Paper No: RISK-17-1044
https://doi.org/10.1115/1.4037353
Published Online: October 3, 2017
View Article titled, Generic Approach for Risk Assessment of Offshore Piping Subjected to Vibration Induced Fatigue
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Topics: Fatigue, Fuzzy logic, Inspection, Pipes, Risk assessment, Vibration, Underwater pipelines, Excitation, Engineers
Journal Articles

Experimental Time-Domain Vibration-Based Fault Diagnosis of Centrifugal Pumps Using Support Vector Machine

Janani Shruti Rapur, Rajiv Tiwari
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Technical Briefs
ASME J. Risk Uncertainty Part B. December 2017, 3(4): 044501.
Paper No: RISK-16-1087
https://doi.org/10.1115/1.4035440
Published Online: June 13, 2017
View Article titled, Experimental Time-Domain Vibration-Based Fault Diagnosis of Centrifugal Pumps Using Support Vector Machine
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Topics: Centrifugal pumps, Flow instability, Impellers, Support vector machines, Vibration, Fault diagnosis, Algorithms, Suction
Journal Articles

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

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 Article titled, 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

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

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 Article titled, 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