1-20 of 1605
Algorithms
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
Proceedings Papers

Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure

Ethan Wescoat, Matthew Krugh, Laine Mears
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A012, October 30–November 3, 2022
Paper No: IMECE2022-93869
DOI: https://doi.org/10.1115/IMECE2022-93869
View Paper titled, Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure
Click here to open pdf in another window PDF for Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure
Topics: Bearings, Failure, Failure data, Damage, Fatigue, Algorithms, Condition monitoring, Digital twin, Maintenance, Manufacturing
Proceedings Papers

Damaged Apple Detection Using Artificial Intelligence

Sathish K. Gurupatham, Caleb Bailey
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A045, October 30–November 3, 2022
Paper No: IMECE2022-96162
DOI: https://doi.org/10.1115/IMECE2022-96162
View Paper titled, Damaged Apple Detection Using Artificial Intelligence
Click here to open pdf in another window PDF for Damaged Apple Detection Using Artificial Intelligence
Topics: Artificial intelligence, Machine learning, Artificial neural networks, Algorithms, Mechanical engineering, Quality control, Assembly lines, Brain, Errors, Machine components
Proceedings Papers

In-Process Intelligent Inspection of the Specimen Using Machine Vision

Adarsh Mahor, Ram Singar Yadav
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A057, October 30–November 3, 2022
Paper No: IMECE2022-95347
DOI: https://doi.org/10.1115/IMECE2022-95347
View Paper titled, In-Process Intelligent Inspection of the Specimen Using Machine Vision
Click here to open pdf in another window PDF for In-Process Intelligent Inspection of the Specimen Using Machine Vision
Topics: Inspection, Machinery, Algorithms, Dimensions, Manufacturing, Assembly lines, Computers, Shapes, Artificial neural networks, Conveyor belts
Proceedings Papers

Unsupervised Machine Learning Algorithms for Analysis of Low Velocity Impact Damage in Composite Structures From CT Image Data

Olesya I. Zhupanska, Pavlo A. Krokhmal
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A012, October 30–November 3, 2022
Paper No: IMECE2022-96262
DOI: https://doi.org/10.1115/IMECE2022-96262
View Paper titled, Unsupervised Machine Learning Algorithms for Analysis of Low Velocity Impact Damage in Composite Structures From CT Image Data
Click here to open pdf in another window PDF for Unsupervised Machine Learning Algorithms for Analysis of Low Velocity Impact Damage in Composite Structures From CT Image Data
Topics: Algorithms, Composite materials, Computerized tomography, Damage, Image segmentation, Machine learning
Proceedings Papers

Nonlinear Transient Response of Isotropic and Composite Structures With Variable Kinematic Beam and Plate Finite Elements

Rodolfo Azzara, Matteo Filippi, Alfonso Pagani, Erasmo Carrera
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A025, October 30–November 3, 2022
Paper No: IMECE2022-94973
DOI: https://doi.org/10.1115/IMECE2022-94973
View Paper titled, Nonlinear Transient Response of Isotropic and Composite Structures With Variable Kinematic Beam and Plate Finite Elements
Click here to open pdf in another window PDF for Nonlinear Transient Response of Isotropic and Composite Structures With Variable Kinematic Beam and Plate Finite Elements
Topics: Composite materials, Finite element analysis, Kinematics, Transients (Dynamics), Algorithms, Constitutive equations, Deflection, Displacement, Dynamic response, Newton's method
Proceedings Papers

Model Order Reduction of Scramjet Isolator Shock Dynamics During Unstart

Jack Sullivan, Datta Gaitonde
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A026, October 30–November 3, 2022
Paper No: IMECE2022-94316
DOI: https://doi.org/10.1115/IMECE2022-94316
View Paper titled, Model Order Reduction of Scramjet Isolator Shock Dynamics During Unstart
Click here to open pdf in another window PDF for Model Order Reduction of Scramjet Isolator Shock Dynamics During Unstart
Topics: Dynamics (Mechanics), Scramjets, Shock (Mechanics), Trains, Oscillations, Algorithms, Boundary layers, Databases, Gasdynamics, Modal analysis
Proceedings Papers

Uncertainty Quantification in Material Properties of Additively Manufactured Materials for Application in Topology Optimization

Zahra Kazemi, Craig A. Steeves
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A009, October 30–November 3, 2022
Paper No: IMECE2022-95195
DOI: https://doi.org/10.1115/IMECE2022-95195
View Paper titled, Uncertainty Quantification in Material Properties of Additively Manufactured Materials for Application in Topology Optimization
Click here to open pdf in another window PDF for Uncertainty Quantification in Material Properties of Additively Manufactured Materials for Application in Topology Optimization
Topics: Additive manufacturing, Machine learning, Materials properties, Topology optimization, Uncertainty quantification, Elastic moduli, Chaos, Young's modulus, Algorithms, Design
Proceedings Papers

Improved Accuracy of Non-Contact Respiratory Function Measurement for Patients With Severe Motor and Intellectual Disabilities

Takumi Nakahama, Remi Kosumi, Ryota Sakamoto, Norihiko Kato, Ken’ichi Yano, Shotaro Iwamoto, Tomohiro Tsujioka, Yuya Takahashi, Noriko Yamakawa
Proc. ASME. IMECE2022, Volume 4: Biomedical and Biotechnology; Design, Systems, and Complexity, V004T05A068, October 30–November 3, 2022
Paper No: IMECE2022-95552
DOI: https://doi.org/10.1115/IMECE2022-95552
View Paper titled, Improved Accuracy of Non-Contact Respiratory Function Measurement for Patients With Severe Motor and Intellectual Disabilities
Click here to open pdf in another window PDF for Improved Accuracy of Non-Contact Respiratory Function Measurement for Patients With Severe Motor and Intellectual Disabilities
Topics: Engines, Motors, Ventilation, Accuracy and precision, Algorithms, Biomedicine, Fluctuations (Physics), Geometry, Medical devices, Minimally invasive devices
Proceedings Papers

Aerial Vehicle Rapid 3D Map Generation for Safe Landing Area Detection

Akin Tatoglu, Cheng Chun Yin, Brianna Cervello, Antonio Corrado, Bernard Balko, Kiwon Sohn
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A073, October 30–November 3, 2022
Paper No: IMECE2022-95849
DOI: https://doi.org/10.1115/IMECE2022-95849
View Paper titled, Aerial Vehicle Rapid 3D Map Generation for Safe Landing Area Detection
Click here to open pdf in another window PDF for Aerial Vehicle Rapid 3D Map Generation for Safe Landing Area Detection
Topics: Aircraft, Robust control, Algorithms, Control systems, Measurement units and standards, Resolution (Optics), Robotics, Servomechanisms
Proceedings Papers

Autonomous Topographic Mapping of Unknown Environments by Dynamic Visual Data

Vomsheendhur Raju, Majura F. Selekwa
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A072, October 30–November 3, 2022
Paper No: IMECE2022-95497
DOI: https://doi.org/10.1115/IMECE2022-95497
View Paper titled, Autonomous Topographic Mapping of Unknown Environments by Dynamic Visual Data
Click here to open pdf in another window PDF for Autonomous Topographic Mapping of Unknown Environments by Dynamic Visual Data
Topics: Algorithms, Autonomous vehicles, Errors, Robots, Sensors, Texture (Materials), Topology, Vehicles
Proceedings Papers

A Neural Network-Augmented Bayesian Approach to Uncertain Parameter Estimation in Nonlinear Dynamic Systems

Roja Zakeri, Praveen Shankar
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A054, October 30–November 3, 2022
Paper No: IMECE2022-95563
DOI: https://doi.org/10.1115/IMECE2022-95563
View Paper titled, A Neural Network-Augmented Bayesian Approach to Uncertain Parameter Estimation in Nonlinear Dynamic Systems
Click here to open pdf in another window PDF for A Neural Network-Augmented Bayesian Approach to Uncertain Parameter Estimation in Nonlinear Dynamic Systems
Topics: Algorithms, Artificial neural networks, Chain, Damping, Design, Dynamic systems, Kinematics, Nonlinear dynamical systems, Nonlinear dynamics, Parameter estimation
Proceedings Papers

On the Efficacy of Non-Holonomic Canonical Momentum Analysis of Constrained Multi-Body Mechanical Systems – Application in Ground Vehicle Double Wishbone Suspension Dynamics

Oluwaseyi J. Olorunfemi, Alan A. Barhorst
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A089, October 30–November 3, 2022
Paper No: IMECE2022-95181
DOI: https://doi.org/10.1115/IMECE2022-95181
View Paper titled, On the Efficacy of Non-Holonomic Canonical Momentum Analysis of Constrained Multi-Body Mechanical Systems – Application in Ground Vehicle Double Wishbone Suspension Dynamics
Click here to open pdf in another window PDF for On the Efficacy of Non-Holonomic Canonical Momentum Analysis of Constrained Multi-Body Mechanical Systems – Application in Ground Vehicle Double Wishbone Suspension Dynamics
Topics: Dynamics (Mechanics), Equations of motion, Momentum, Vehicles, Suspension systems, Modeling, Simulation, Vehicle dynamics, Algorithms, Degrees of freedom
Proceedings Papers

Identification of Mechanical Fault of Induction Motor by Combining Lyapunov Exponent and Random Forest Algorithm

Yan Liu, Jincheng Geng, Yuchen Li, Yiming He
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A094, October 30–November 3, 2022
Paper No: IMECE2022-94758
DOI: https://doi.org/10.1115/IMECE2022-94758
View Paper titled, Identification of Mechanical Fault of Induction Motor by Combining Lyapunov Exponent and Random Forest Algorithm
Click here to open pdf in another window PDF for Identification of Mechanical Fault of Induction Motor by Combining Lyapunov Exponent and Random Forest Algorithm
Topics: Algorithms, Electromagnetic induction, Motors, Signals, Vibration, Entropy
Proceedings Papers

Using Machine Learning Methods Towards Identifying College Campus Load Profiles and Energy Storage Application for Reducing Peak Energy Demand From the Utility Grid

Christopher J. Sweeny, Jackson R. Smith, Afsaneh Ghanavati, James R. McCusker
Proc. ASME. IMECE2022, Volume 6: Energy, V006T08A062, October 30–November 3, 2022
Paper No: IMECE2022-94830
DOI: https://doi.org/10.1115/IMECE2022-94830
View Paper titled, Using Machine Learning Methods Towards Identifying College Campus Load Profiles and Energy Storage Application for Reducing Peak Energy Demand From the Utility Grid
Click here to open pdf in another window PDF for Using Machine Learning Methods Towards Identifying College Campus Load Profiles and Energy Storage Application for Reducing Peak Energy Demand From the Utility Grid
Topics: Energy storage, Machine learning, Principal component analysis, Stress, Energy consumption, Algorithms, Residential construction, Structures, Matlab, State estimation
Proceedings Papers

Benchmarking Various Nonlinear Control Design Techniques for a Two-Link Planar Robot Arm

Zeki Ilhan
Proc. ASME. IMECE2022, Volume 7: Engineering Education, V007T09A004, October 30–November 3, 2022
Paper No: IMECE2022-95524
DOI: https://doi.org/10.1115/IMECE2022-95524
View Paper titled, Benchmarking Various Nonlinear Control Design Techniques for a Two-Link Planar Robot Arm
Click here to open pdf in another window PDF for Benchmarking Various Nonlinear Control Design Techniques for a Two-Link Planar Robot Arm
Topics: Computer simulation, Engineering design processes, Robots, System dynamics, Algorithms, Control equipment, Design, Dynamic modeling, Dynamics (Mechanics), Education
Proceedings Papers

A Reduced Three-Phase Model for Solidification of Liquid in Large Tanks

Shashank Terala, Sandip Mazumder, Gurpreet Matharu, Dhaval Vaishnav, Syed Ali
Proc. ASME. IMECE2022, Volume 8: Fluids Engineering; Heat Transfer and Thermal Engineering, V008T11A053, October 30–November 3, 2022
Paper No: IMECE2022-95217
DOI: https://doi.org/10.1115/IMECE2022-95217
View Paper titled, A Reduced Three-Phase Model for Solidification of Liquid in Large Tanks
Click here to open pdf in another window PDF for A Reduced Three-Phase Model for Solidification of Liquid in Large Tanks
Topics: Solidification, Ice, Water, Domes (Structural elements), Flow (Dynamics), Freezing, Algorithms, Computation, Computational methods, Diesel
Proceedings Papers

Proper Orthogonal Decomposition Analysis of Particle Image Velocimetry Data at the Inlet of a Centrifugal Compressor

Deb Banerjee, Ahmet Selamet, Rick Dehner
Proc. ASME. IMECE2022, Volume 8: Fluids Engineering; Heat Transfer and Thermal Engineering, V008T10A016, October 30–November 3, 2022
Paper No: IMECE2022-94308
DOI: https://doi.org/10.1115/IMECE2022-94308
View Paper titled, Proper Orthogonal Decomposition Analysis of Particle Image Velocimetry Data at the Inlet of a Centrifugal Compressor
Click here to open pdf in another window PDF for Proper Orthogonal Decomposition Analysis of Particle Image Velocimetry Data at the Inlet of a Centrifugal Compressor
Topics: Compressors, Particulate matter, Principal component analysis, Surges, Flow (Dynamics), Algorithms, Boundary layers, Ducts, Fully developed turbulent flow, Shapes
Proceedings Papers

Numerical Analysis of Interfacial Electrohydrodynamic Flow With Modal Decomposition

Sílvio Cândido, José C. Páscoa
Proc. ASME. IMECE2022, Volume 8: Fluids Engineering; Heat Transfer and Thermal Engineering, V008T10A004, October 30–November 3, 2022
Paper No: IMECE2022-95100
DOI: https://doi.org/10.1115/IMECE2022-95100
View Paper titled, Numerical Analysis of Interfacial Electrohydrodynamic Flow With Modal Decomposition
Click here to open pdf in another window PDF for Numerical Analysis of Interfacial Electrohydrodynamic Flow With Modal Decomposition
Topics: Electrohydrodynamics, Flow (Dynamics), Numerical analysis, Electric charge, Dynamics (Mechanics), Electric fields, Emissions, Fluctuations (Physics), Algorithms, Density
Proceedings Papers

Sparse Data Recovery Algorithm Based on BP Neural Network for Ultrasonic Guided Wave Imaging

Xiaocen Wang, Min Lin, Jian Li, Dingpeng Wang, Yang Liu
Proc. ASME. IMECE2022, Volume 1: Acoustics, Vibration, and Phononics, V001T01A023, October 30–November 3, 2022
Paper No: IMECE2022-96700
DOI: https://doi.org/10.1115/IMECE2022-96700
View Paper titled, Sparse Data Recovery Algorithm Based on BP Neural Network for Ultrasonic Guided Wave Imaging
Click here to open pdf in another window PDF for Sparse Data Recovery Algorithm Based on BP Neural Network for Ultrasonic Guided Wave Imaging
Topics: Algorithms, Artificial neural networks, Imaging, Waves
Proceedings Papers

A Machine Learning Framework for Physics-Based Multi-Fidelity Modeling and Health Monitoring for a Composite Wing

Gaurav Makkar, Cameron Smith, George Drakoulas, Fotis Kopsaftopoulos, Farhan Gandhi
Proc. ASME. IMECE2022, Volume 1: Acoustics, Vibration, and Phononics, V001T01A008, October 30–November 3, 2022
Paper No: IMECE2022-94850
DOI: https://doi.org/10.1115/IMECE2022-94850
View Paper titled, A Machine Learning Framework for Physics-Based Multi-Fidelity Modeling and Health Monitoring for a Composite Wing
Click here to open pdf in another window PDF for A Machine Learning Framework for Physics-Based Multi-Fidelity Modeling and Health Monitoring for a Composite Wing
Topics: Artificial neural networks, Composite materials, Finite element analysis, Machine learning, Modeling, Physics, Structural health monitoring, Wings, Damage, Unmanned aerial vehicles