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Issues
June 2021
ISSN 1530-9827
EISSN 1944-7078
In this Issue
Special Issue: Digital Twin-Driven Design and Manufacturing
Guest Editorial
Special Issue: Digital Twin-Driven Design and Manufacturing
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 030301.
doi: https://doi.org/10.1115/1.4050982
Topics:
Design
,
Manufacturing
,
Sensors
Review Articles
Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 030801.
doi: https://doi.org/10.1115/1.4049537
Topics:
Gears
,
Service life (Equipment)
Digital Twins: Review and Challenges
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 030802.
doi: https://doi.org/10.1115/1.4050244
Topics:
Computer software
,
Cycles
,
Decision making
,
Machinery
,
Manufacturing
,
Modeling
,
Simulation
,
Failure
,
Multi-agent systems
,
Ontologies
Research Papers
Performance Evaluation of the Data Clustering Techniques and Cluster Validity Indices for Efficient Toolpath Development for Incremental Sheet Forming
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031001.
doi: https://doi.org/10.1115/1.4048914
Topics:
Algorithms
,
Linkages
,
Density
,
Shapes
,
Computer-aided design
,
Machine learning
,
Performance evaluation
,
Feature extraction
A Digital Twin-Driven Method for Product Performance Evaluation Based on Intelligent Psycho-Physiological Analysis
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031002.
doi: https://doi.org/10.1115/1.4049895
Topics:
Design
,
Electroencephalography
,
Performance evaluation
,
Physiology
,
Machine learning
,
Human factors
,
Elevators
,
Signals
,
Product design
Real-Time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031003.
doi: https://doi.org/10.1115/1.4049153
Topics:
Machine tools
,
Maintenance
,
Service life (Equipment)
,
Manufacturing
,
Workshops (Work spaces)
,
Errors
A Deep Lifelong Learning Method for Digital Twin-Driven Defect Recognition With Novel Classes
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031004.
doi: https://doi.org/10.1115/1.4049960
Topics:
Data collection
,
Delays
,
Sensors
,
Weight (Mass)
,
Manufacturing
,
Machine learning
Multidimensional Data Modeling and Model Validation for Digital Twin Workshop
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031005.
doi: https://doi.org/10.1115/1.4049634
Topics:
Dynamic time warping
,
Modeling
,
Workshops (Work spaces)
,
Tensors
,
Manufacturing
Posture-Invariant Three Dimensional Human Hand Statistical Shape Model
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031006.
doi: https://doi.org/10.1115/1.4049445
Topics:
Shapes
,
Construction
,
Algorithms
,
Bone
Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031007.
doi: https://doi.org/10.1115/1.4050245
Topics:
Assembly lines
,
Optimization
,
Simulation
Quality Deviation Control for Aircraft Using Digital Twin
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031008.
doi: https://doi.org/10.1115/1.4050376
Topics:
Aircraft
,
Manufacturing
Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031009.
doi: https://doi.org/10.1115/1.4050377
Topics:
Additive manufacturing
,
Cooling
,
Physics
,
Temperature
,
Temperature distribution
,
Errors
,
Process monitoring
,
Gears
Digital Twin-Driven Controller Tuning Method for Dynamics
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031010.
doi: https://doi.org/10.1115/1.4050378
Topics:
Control equipment
,
Dynamics (Mechanics)
,
Construction
Digital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031011.
doi: https://doi.org/10.1115/1.4050617
Topics:
Assembly lines
,
Design
,
Optimization
,
Manufacturing
,
Workshops (Work spaces)
Digital Twin-Driven Human-Centered Design Frameworks for Meeting Sustainability Objectives
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031012.
doi: https://doi.org/10.1115/1.4050684
Topics:
Design
,
Failure
,
Sustainability
,
Ergonomics
,
Modeling
,
Errors
Technical Brief
Tool Wear Online Monitoring Method Based on DT and SSAE-PHMM
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 034501.
doi: https://doi.org/10.1115/1.4050531
Topics:
Wear
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Manufacturing Feature Recognition with a Sparse Voxel-based Convolutional Neural Network
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