1-20 of 34
Failure
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

Accepted Manuscript
Vishal G. Salunkhe, S.M. Khot, Prashant S. Jadhav, Nitesh Yelve, Mahadev B. Kumbhar
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-23-1573
https://doi.org/10.1115/1.4066595
Published Online: September 19, 2024
View Article titled, Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing
Open the PDF for Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing in another window
Topics: Bearings, Condition monitoring, Convolutional neural networks, Rollers, Machinery, Failure, Independent component analysis, Noise (Sound), Vibration, Computer simulation
Journal Articles

A Survey of Function Failure Identification and Propagation Analysis Methods for System Design

David Jensen, Douglas L. Van Bossuyt, Oladapo Bello, Bryan M. O’Halloran, Nikolaos Papakonstantinou
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090801.
Paper No: JCISE-23-1390
https://doi.org/10.1115/1.4065630
Published Online: July 5, 2024
View Article titled, A Survey of Function Failure Identification and Propagation Analysis Methods for System Design
Open the PDF for A Survey of Function Failure Identification and Propagation Analysis Methods for System Design in another window
Topics: Design, Failure, Modeling, Simulation, Decision making, Safety, Risk, Flow (Dynamics)
Journal Articles

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061003.
Paper No: JCISE-23-1426
https://doi.org/10.1115/1.4065212
Published Online: April 23, 2024
View Article titled, An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults
Open the PDF for An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults in another window
Topics: Dynamic time warping, Motors, Probability, Quality control charts, Signals, Sensors, Failure, Modeling, Vehicles, Engines
Journal Articles

Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials

Nicoleta A. Apetre, John G. Michopoulos, Steven N. Rodriguez, Athanasios Iliopoulos, John C. Steuben, Benjamin D. Graber, Attilio Arcari
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051011.
Paper No: JCISE-23-1381
https://doi.org/10.1115/1.4065201
Published Online: April 18, 2024
View Article titled, Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials
Open the PDF for Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials in another window
Topics: Additive manufacturing, Cycles, Density, Design, Failure, Fatigue, Geometry, Metamaterials, Stress, Struts (Engineering)
Journal Articles

Determination of Multi-Component Failure in Automotive System Using Deep Learning

John O’Donnell, Hwan-Sik Yoon
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021005.
Paper No: JCISE-22-1160
https://doi.org/10.1115/1.4063003
Published Online: August 14, 2023
View Article titled, Determination of Multi-Component Failure in Automotive System Using Deep Learning
Open the PDF for Determination of Multi-Component Failure in Automotive System Using Deep Learning in another window
Topics: Failure, Failure mechanisms, Exhaust gas recirculation, Electromagnetic radiation, Compressors
Journal Articles

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Omey M. Manyar, Junyan Cheng, Reuben Levine, Vihan Krishnan, Jernej Barbič, Satyandra K. Gupta
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030903.
Paper No: JCISE-22-1284
https://doi.org/10.1115/1.4056295
Published Online: December 9, 2022
View Article titled, Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds
Open the PDF for Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds in another window
Topics: Composite materials, Failure, Flaw detection, Physics, Pipelines, Texture (Materials), Manufacturing, Simulation, Carbon fibers, Image segmentation
Journal Articles

A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency

Bharath Pidaparthi, Samy Missoum
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011008.
Paper No: JCISE-22-1131
https://doi.org/10.1115/1.4055508
Published Online: September 27, 2022
View Article titled, A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency
Open the PDF for A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency in another window
Topics: Failure, Heat exchangers, Probability, Reliability, Support vector machines, Shells, Algorithms
Journal Articles

Combining Uneliminated Algebraic Formulations With Sparse Linear Solvers to Increase the Speed and Accuracy of Homotopy Path Tracking for Kinematic Synthesis

Jeffrey Glabe, Mark Plecnik
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061007.
Paper No: JCISE-22-1042
https://doi.org/10.1115/1.4055241
Published Online: September 15, 2022
View Article titled, Combining Uneliminated Algebraic Formulations With Sparse Linear Solvers to Increase the Speed and Accuracy of Homotopy Path Tracking for Kinematic Synthesis
Open the PDF for Combining Uneliminated Algebraic Formulations With Sparse Linear Solvers to Increase the Speed and Accuracy of Homotopy Path Tracking for Kinematic Synthesis in another window
Topics: Algebra, Kinematics, Polynomials, Linear systems, Failure, Computation, Dimensions
Journal Articles

Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing

Sequoia R. Andrade, Hannah S. Walsh
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031001.
Paper No: JCISE-21-1424
https://doi.org/10.1115/1.4054688
Published Online: August 8, 2022
View Article titled, Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing
Open the PDF for Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing in another window
Topics: Design, Failure, Natural language processing, Modeling
Journal Articles

Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation

Sarah Al-Hussaini, Neel Dhanaraj, Jason M. Gregory, Rex Jomy Joseph, Shantanu Thakar, Brual C. Shah, Jeremy A. Marvel, Satyandra K. Gupta
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2022, 22(5): 050906.
Paper No: JCISE-21-1287
https://doi.org/10.1115/1.4054088
Published Online: April 13, 2022
View Article titled, Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation
Open the PDF for Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation in another window
Topics: Collisions (Physics), Failure, Manipulators, Probability, Risk, Robots, Uncertainty, Grasping
Journal Articles

Sequential Design Process for Screening and Optimization of Robustness and Reliability Based on Finite Element Analysis and Meta-Modeling

Tim Brix Nerenst, Martin Ebro, Morten Nielsen, Kanishk Bhadani, Gauti Asbjörnsson, Tobias Eifler, Kim Lau Nielsen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2022, 22(4): 040902.
Paper No: JCISE-21-1325
https://doi.org/10.1115/1.4053074
Published Online: February 7, 2022
View Article titled, Sequential Design Process for Screening and Optimization of Robustness and Reliability Based on Finite Element Analysis and Meta-Modeling
Open the PDF for Sequential Design Process for Screening and Optimization of Robustness and Reliability Based on Finite Element Analysis and Meta-Modeling in another window
Topics: Design, Finite element analysis, Optimization, Robustness, Simulation, Reliability, Experimental design, Metamodeling, Failure
Journal Articles

Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit

Nikhil M. Thoppil, V. Vasu, C. S. P. Rao
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021012.
Paper No: JCISE-21-1161
https://doi.org/10.1115/1.4052838
Published Online: December 9, 2021
View Article titled, Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit
Open the PDF for Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit in another window
Topics: Algorithms, Optimization, Service life (Equipment), Vibration, Failure, Architecture, Signals, Feature selection, Maintenance
Journal Articles

Digital Twin-Driven Human-Centered Design Frameworks for Meeting Sustainability Objectives

H. Onan Demirel, Lukman Irshad, Salman Ahmed, Irem Y. Tumer
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031012.
Paper No: JCISE-20-1229
https://doi.org/10.1115/1.4050684
Published Online: April 19, 2021
View Article titled, Digital Twin-Driven Human-Centered Design Frameworks for Meeting Sustainability Objectives
Open the PDF for Digital Twin-Driven Human-Centered Design Frameworks for Meeting Sustainability Objectives in another window
Topics: Design, Failure, Sustainability, Ergonomics, Modeling, Errors
Journal Articles

Digital Twins: Review and Challenges

Maria G. Juarez, Vicente J. Botti, Adriana S. Giret
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 030802.
Paper No: JCISE-20-1194
https://doi.org/10.1115/1.4050244
Published Online: April 2, 2021
View Article titled, Digital Twins: Review and Challenges
Open the PDF for Digital Twins: Review and Challenges in another window
Topics: Computer software, Cycles, Decision making, Machinery, Manufacturing, Modeling, Simulation, Failure, Multi-agent systems, Ontologies
Journal Articles

Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage

Xinpeng Wei, Daoru Han, Xiaoping Du
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2021, 21(4): 041006.
Paper No: JCISE-20-1217
https://doi.org/10.1115/1.4049509
Published Online: February 11, 2021
View Article titled, Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage
Open the PDF for Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage in another window
Topics: Design, Failure, Physics, Reliability, Stochastic processes, Event history analysis, Statistics, Testing, Errors, Experimental design
Journal Articles

Strategies for Speeding Up Manipulator Path Planning to Find High Quality Paths in Cluttered Environments

Pradeep Rajendran, Shantanu Thakar, Prahar M. Bhatt, Ariyan M. Kabir, Satyandra K. Gupta
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2021, 21(1): 011009.
Paper No: JCISE-20-1137
https://doi.org/10.1115/1.4048619
Published Online: December 10, 2020
View Article titled, Strategies for Speeding Up Manipulator Path Planning to Find High Quality Paths in Cluttered Environments
Open the PDF for Strategies for Speeding Up Manipulator Path Planning to Find High Quality Paths in Cluttered Environments in another window
Topics: Collisions (Physics), Failure, Manipulators, Path planning, Approximation, Switches
Journal Articles

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Junchuan Shi, Tianyu Yu, Kai Goebel, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021004.
Paper No: JCISE-20-1129
https://doi.org/10.1115/1.4048215
Published Online: October 13, 2020
View Article titled, Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features
Open the PDF for Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features in another window
Topics: Algorithms, Bearings, Errors, Service life (Equipment), Feature selection, Vibration, Signals, Failure
Journal Articles

Automated Generation of Fault Scenarios to Assess Potential Human Errors and Functional Failures in Early Design Stages

Lukman Irshad, H. Onan Demirel, Irem Y. Tumer
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051009.
Paper No: JCISE-19-1274
https://doi.org/10.1115/1.4047557
Published Online: July 9, 2020
View Article titled, Automated Generation of Fault Scenarios to Assess Potential Human Errors and Functional Failures in Early Design Stages
Open the PDF for Automated Generation of Fault Scenarios to Assess Potential Human Errors and Functional Failures in Early Design Stages in another window
Topics: Design, Errors, Failure
Journal Articles

Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making

Charlie DeStefano, David Jensen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061013.
Paper No: JCISE-19-1059
https://doi.org/10.1115/1.4047354
Published Online: June 22, 2020
View Article titled, Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making
Open the PDF for Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making in another window
Topics: Complex systems, Failure, Maintenance, Robots, Service life (Equipment), Downtime, Decision making, Simulation, Physics
Journal Articles

Determination of Time-to-Failure for Automotive System Components Using Machine Learning

John O’Donnell, Hwan-Sik Yoon
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061003.
Paper No: JCISE-19-1333
https://doi.org/10.1115/1.4046818
Published Online: May 26, 2020
View Article titled, Determination of Time-to-Failure for Automotive System Components Using Machine Learning
Open the PDF for Determination of Time-to-Failure for Automotive System Components Using Machine Learning in another window
Topics: Failure, Machine learning, Vehicles, Shock absorbers, Algorithms