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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

Extreme Wind Speed Map for Mainland China Considering the Directional Effect

Xu Hong; Tianle Chen; Sheng Wang; Fan Kong; Maofang Liu

Robust Optimum Design for Hybrid Vibration Control of Structures under Multihazard Scenarios of Earthquakes and Winds

Sarranya Banerjee; Taiki Saito; Vasant Matsagar

System Reliability–Based Disaster Resilience Analysis of Cable-Stayed Bridge under Tank Truck Fire Hazards

Seonghyun Lim; Sang-ri Yi; Hyunjoong Kim; Junho Song

Gaussian Process Regression–Based Model Error Diagnosis and Quantification Using Experimental Data of Prestressed Concrete Beams in Shear

Jiadaren Liu; John Alexander; Yong Li

Decomposition of the Hierarchical Variability of Concrete Random Fields and Its Influence on the Hysteretic Behavior of Structural Components

Jinju Tao, Ph.D.; Sicheng Ren; Beibei Xiong, Ph.D.

Robustness of Urban Rail Transit Networks Considering Cascade Failure under Attacks: A Case Study of Nanjing, China

Zhuanglin Ma; Dawei Hu; Steven I-Jy Chien; Jie Liu; Yue Liu; Ke Wu

Identification of Causes and Individuals at Risk of Falls during Vertical Formwork Operation in Construction

Vigneshkumar Chellappa, Ph.D.; Urmi Ravindra Salve, Ph.D.

Performance-Based Risk Assessment for Large-Scale Transportation Networks Using the Transitional Markov Chain Monte Carlo Method

Anteneh Z. Deriba; David Y. Yang, Ph.D.

Multilevel Damage Indicator–Enabled Seismic Damage Evolution Analysis and Fragility Assessment of Structures

Yi-Zheng Xu; Zi-Xuan Gui; Xu-Yang Cao, Ph.D.; De-Cheng Feng, Ph.D.

Improved Probabilistic Seismic Demand–Intensity Relationship: Heteroscedastic Approaches

Libo Chen

Quantitative Analysis of Risk Influential Factors of Evacuation Accidents for Passenger Ships

Zhongyuan Liu; Xinjian Wang; Wenjie Cao; Jiashi Wang; Siming Fang; Sean Loughney

Advance Rate Predictions of Tunnel Boring Machines Using Bayesian-Optimized CNN-LSTM

Xiaoxiong Men; Yuanfei Li; Baohe Guo; Lai Wang; Xinyu Ye; Qiujing Pan

Reliability of Steel Girder Bridges Subjected to Blast Loads

Ahmad Alsendi, Ph.D.; Christopher D. Eamon

Analysis of Deformation Characteristics of Layered Rock Tunnel Excavation Based on Statistical Mechanics of Rock Masses

Faquan Wu; Weixin Wan; Yun Tian; Ying Yang; Bing Yang

Probabilistic Analysis of Performance of Three-Dimensional Supported Excavations Considering Soil Spatial Variability

Liang Zhang; Hamed Dehghanpour; Jiajie Cheng; Lei Wang

Active Learning of Small Failure Probabilities of Highly Nonstationary Geotechnical Systems by Adaptive Bayesian Compressive Sensing and Subset Simulation

Peiping Li

Interpolation of Sparse Measurements and Quantification of Measurement Error Using Enhanced Kriging with Sparse Representation of Covariance Function

Cong Miao; Yu Wang

Adaptive Monte Carlo Methods for Estimating Rare Events in Power Grids

Jianpeng Chan; Roger Paredes; Iason Papaioannou; Leonardo Duenas-Osorio; Daniel Straub

Health Evaluation of Frame Structures Based on the Gray Cloud Network Model: Proposal and Experimental Study

Kaixuan Zheng; Huiyong Guo; Jin Di; Chen Liu

Smart Heuristics in Civil Engineering: Unearthing the Unexploited

Peter E. D. Love, Ph.D.

Find More in the ASCE Library

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

Extreme Wind Speed Map for Mainland China Considering the Directional Effect

Robust Optimum Design for Hybrid Vibration Control of Structures under Multihazard Scenarios of Earthquakes and Winds

System Reliability–Based Disaster Resilience Analysis of Cable-Stayed Bridge under Tank Truck Fire Hazards

Gaussian Process Regression–Based Model Error Diagnosis and Quantification Using Experimental Data of Prestressed Concrete Beams in Shear

Decomposition of the Hierarchical Variability of Concrete Random Fields and Its Influence on the Hysteretic Behavior of Structural Components

Robustness of Urban Rail Transit Networks Considering Cascade Failure under Attacks: A Case Study of Nanjing, China

Identification of Causes and Individuals at Risk of Falls during Vertical Formwork Operation in Construction

Performance-Based Risk Assessment for Large-Scale Transportation Networks Using the Transitional Markov Chain Monte Carlo Method

Multilevel Damage Indicator–Enabled Seismic Damage Evolution Analysis and Fragility Assessment of Structures

Improved Probabilistic Seismic Demand–Intensity Relationship: Heteroscedastic Approaches

Quantitative Analysis of Risk Influential Factors of Evacuation Accidents for Passenger Ships

Advance Rate Predictions of Tunnel Boring Machines Using Bayesian-Optimized CNN-LSTM

Reliability of Steel Girder Bridges Subjected to Blast Loads

Analysis of Deformation Characteristics of Layered Rock Tunnel Excavation Based on Statistical Mechanics of Rock Masses

Probabilistic Analysis of Performance of Three-Dimensional Supported Excavations Considering Soil Spatial Variability

Active Learning of Small Failure Probabilities of Highly Nonstationary Geotechnical Systems by Adaptive Bayesian Compressive Sensing and Subset Simulation

Interpolation of Sparse Measurements and Quantification of Measurement Error Using Enhanced Kriging with Sparse Representation of Covariance Function

Adaptive Monte Carlo Methods for Estimating Rare Events in Power Grids

Health Evaluation of Frame Structures Based on the Gray Cloud Network Model: Proposal and Experimental Study

Smart Heuristics in Civil Engineering: Unearthing the Unexploited

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