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Journal Articles

Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes

Nazir Laureano Gandur, Stephen Ekwaro-Osire

Publisher: ASME

ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031202.

Paper No: RISK-24-1052

https://doi.org/10.1115/1.4066722

Published Online: November 4, 2024

View Article titled, Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes

Topics: Batteries, Bearings, Failure, Failure mechanisms, Uncertainty, Service life (Equipment), Uncertainty quantification, Reliability

Journal Articles

A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

Xintian Shen, Zi Wang, Peng Ding, Xiaoli Zhao, Minping Jia

Publisher: ASME

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011101.

Paper No: RISK-23-1097

https://doi.org/10.1115/1.4065753

Published Online: June 29, 2024

View Article titled, A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

Topics: Bearings, Errors, Lubrication, Machinery, Uncertainty, Signals, Dimensions, Rolling bearings, Ablation (Vaporization technology), Artificial neural networks

Journal Articles

Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology

Peng Jiang, Jinlei Xia, Wei Li, Chenqi Xu, Wenyu Sun

Publisher: ASME

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011102.

Paper No: RISK-24-1036

https://doi.org/10.1115/1.4065754

Published Online: June 29, 2024

View Article titled, Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology

Topics: Bearings, Fault diagnosis, Acoustic emissions, Deep learning, Signals, Filters

Journal Articles

Verification and Validation of Rotating Machinery Using Digital Twin

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

Publisher: ASME

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 Article titled, Verification and Validation of Rotating Machinery Using Digital Twin

Topics: Bearings, Digital twin, Disks, Machinery, Rotors, Simulation, Computer simulation

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

Publisher: ASME

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

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

Publisher: ASME

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

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

Publisher: ASME

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

Topics: Bearings, Vibration

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

Publisher: ASME

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

Topics: Bearings, Compressors, FPSO, Machinery, Mahalanobis-Taguchi system, Principal component analysis, Vibration, Rotors, Temperature

Journal Articles

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

Peng Ding, Hua Wang, Yongfen Dai

Publisher: ASME

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

Topics: Bearings, Signals, Vibration, Temperature, Self-organization, Torque, Failure

Journal Articles

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

Bin Zhou, Kumar Bhimavarapu

Publisher: ASME

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

Topics: Bearings, Condition monitoring, Cracking (Materials), Failure, Fracture (Process), Risk, Risk mitigation, Rotors, Steam turbines, Turbines

Journal Articles

Seeded Fault Testing and Classification of Dynamically Loaded Floating Ring Compressor Bearings

Markus Holzenkamp, Jason R. Kolodziej, Stephen Boedo, Scott Delmontte

Publisher: ASME

ASME J. Risk Uncertainty Part B. June 2016, 2(2): 021003.

Paper No: RISK-15-1079

https://doi.org/10.1115/1.4031566

Published Online: January 4, 2016

View Article titled, Seeded Fault Testing and Classification of Dynamically Loaded Floating Ring Compressor Bearings

Topics: Bearings, Compressors, Testing, Accelerometers

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Limit-State Function Sensitivity under Epistemic Uncertainty: A Convex Model Approach

Haodong Zhao; Changcong Zhou; Qi Chang; Haotian Shi; Marcos A. Valdebenito; Matthias G. R. Faes

Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model

Sangwon Lee; Taro Yaoyama; Yuma Matsumoto; Takenori Hida; Tatsuya Itoi

From Impact to Control: Inertially Amplified Friction Bearings

Sudip Chowdhury, Ph.D.; Arnab Banerjee, Ph.D.; Sondipon Adhikari, Ph.D.

Investigating the Evolution Path of Urban Natural Gas Pipeline Accidents Using a Complex Network Approach

Xinhong Li, Ph.D.; Xin Ning; Jie Ma; Ziyue Han

Near-Fault Earthquake-Induced Vibration Control of a Supertall Benchmark Building Using an Inerter-Assisted Compliant Liquid Damper

Tanmoy Konar; Anupam Das; Aparna Dey Ghosh

Protocol for the Validation of Models for Regional Risk Analysis

Yun-Chi Yu; Neetesh Sharma; Paolo Gardoni

Enhancing Reliability of Construction Contingency Estimation at the Scoping Phase through Historical Cost Data Analysis

Taewoo Ko; Chau Le; H. David Jeong; Kunhee Choi

Seismic Control and Performance Assessment of Isolated Bridges Using Integration of Negative Stiffness and Inerter-Based Supplemental Control Devices

Naqeeb Ul Islam; R. S. Jangid

Advantages and Limitations of Bayesian Approaches to Decision-Making in Construction Management: A Critical Review (1988–2023)

Guillermo Mejía, Ph.D.; Jaime A. Gutiérrez-Prada; Oscar H. Portilla-Carreño; Jonathan Soto-Paz, Ph.D.

Short-Term Forecasting of Transit Travel Demand: A Customized Relevance Vector Machine Model

Chong Yang, Ph.D.; Yang Li; Wenzhi Yin, Ph.D.; Xiaowei Shi, Ph.D.

Intelligent Landfill Slope Monitoring System and Data Analysis: Case Study for a Landfill Slope in Shenzhen, China

Haoyu Lin; Junchao Li; Jiwu Lan; Shijin Dai; Jianqun Jiang; Yunmin Chen

Analysis of the Influence of Rolling Motion on the ROPAX Vessel with Firewater Accumulation

Honggui Wang; Huseyn Shukurov; Yuan Shu; Zhaolin Wu; Xinjian Wang; Jiajun Sang; Biao Wang

Performance Assessment of Lead Rubber–Isolated Liquid Storage Tanks with Clutching Inertial Systems

Ketan Narayan Bajad; Radhey Shyam Jangid

Robust Modeling of Earthquake Catastrophe Risk for Insurance: An Integrated Approach Incorporating Active Faults and an Epidemic-Type Model

Emmanouil Louloudis, Ph.D.; Alexandros Zimbidis, Ph.D.

Tracing the Factors Influencing Learning from Incidents Behavior in the Construction Industry: Based on a Complex Systems Perspective

Lingna Lin; Jiacheng Zhong

Stochastic Evaluation of Railway Track Buckling Using Monte-Carlo Simulations

Dan Agustin; Qing Wu, Ph.D.; Maksym Spiryagin, Ph.D.; Colin Cole, Ph.D.; Esteban Bernal, Ph.D.

Optimum Design of Hybrid Base Isolation and Tuned Liquid Damper Systems for Structures under Near-Fault Ground Motions

Ayla Ocak; Gebrail Bekdaş; Sinan Melih Nigdeli

Bayesian Finite-Element Model Updating of Bridges Considering Boundary Condition Uncertainties

Shu-Han Yang; Ting-Hua Yi; Chun-Xu Qu; Song-Han Zhang, Ph.D.; Hong-Nan Li

Nondeterministic Kriging for Probabilistic Systems with Mixed Continuous and Discrete Input Variables

Jayasekara Jayasekara; Sabarethinam Kameshwar, Ph.D.

Navigation Decision-Making Method of Complex Multitype Ships’ Routing Waters

Deqing Yu; Yixiong He; Dian Lyu; Jinlai Liu; Xingya Zhao; Liwen Huang

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Journal citation

NARROW

Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes

A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology

Verification and Validation of Rotating Machinery Using Digital Twin

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

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

Roller Element Bearing Fault Size Estimation Using Adaptive Neurofuzzy Inference System

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

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

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

Seeded Fault Testing and Classification of Dynamically Loaded Floating Ring Compressor Bearings

Limit-State Function Sensitivity under Epistemic Uncertainty: A Convex Model Approach

Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model

From Impact to Control: Inertially Amplified Friction Bearings

Investigating the Evolution Path of Urban Natural Gas Pipeline Accidents Using a Complex Network Approach

Near-Fault Earthquake-Induced Vibration Control of a Supertall Benchmark Building Using an Inerter-Assisted Compliant Liquid Damper

Protocol for the Validation of Models for Regional Risk Analysis

Enhancing Reliability of Construction Contingency Estimation at the Scoping Phase through Historical Cost Data Analysis

Seismic Control and Performance Assessment of Isolated Bridges Using Integration of Negative Stiffness and Inerter-Based Supplemental Control Devices

Advantages and Limitations of Bayesian Approaches to Decision-Making in Construction Management: A Critical Review (1988–2023)

Short-Term Forecasting of Transit Travel Demand: A Customized Relevance Vector Machine Model

Intelligent Landfill Slope Monitoring System and Data Analysis: Case Study for a Landfill Slope in Shenzhen, China

Analysis of the Influence of Rolling Motion on the ROPAX Vessel with Firewater Accumulation

Performance Assessment of Lead Rubber–Isolated Liquid Storage Tanks with Clutching Inertial Systems

Robust Modeling of Earthquake Catastrophe Risk for Insurance: An Integrated Approach Incorporating Active Faults and an Epidemic-Type Model

Tracing the Factors Influencing Learning from Incidents Behavior in the Construction Industry: Based on a Complex Systems Perspective

Stochastic Evaluation of Railway Track Buckling Using Monte-Carlo Simulations

Optimum Design of Hybrid Base Isolation and Tuned Liquid Damper Systems for Structures under Near-Fault Ground Motions

Bayesian Finite-Element Model Updating of Bridges Considering Boundary Condition Uncertainties

Nondeterministic Kriging for Probabilistic Systems with Mixed Continuous and Discrete Input Variables

Navigation Decision-Making Method of Complex Multitype Ships’ Routing Waters

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