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eBook Chapter

A Machine Learning Framework for Decision Support in Design and Manufacturing

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Publisher: ASME
Published: 2021
https://doi.org/10.1115/1.862025_ch15
ISBN: 9780791862025
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Topics: Design, Machine learning, Manufacturing
Proceedings Papers

Orthogonal Distance Fields Representation for Machine-Learning Based Manufacturability Analysis

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Aditya Balu, Sambit Ghadai, Soumik Sarkar, Adarsh Krishnamurthy
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A044, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22487
https://doi.org/10.1115/DETC2020-22487
View Paper titled, Orthogonal Distance Fields Representation for Machine-Learning Based Manufacturability Analysis
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Topics: Machine learning, Design for Manufacturing, Computer-aided design, Design, Feedback, Machinery, Manufacturing, Algorithms, Artificial neural networks, Graphics processing units
Journal Articles

Supervisory Control and Distributed Optimization of Building Energy Systems

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Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Atul G. Kelkar, Soumik Sarkar
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. October 2020, 142(10): 101008.
Paper No: DS-19-1308
https://doi.org/10.1115/1.4047448
Published Online: June 26, 2020
View Articletitled, Supervisory Control and Distributed Optimization of Building Energy Systems
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Topics: Algorithms, Optimization, Temperature, Energy consumption, Heating, HVAC equipment, Energy / power systems
Journal Articles

Data-Driven Performance Monitoring of Dynamical Systems Using Granger Causal Graphical Models

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Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. August 2020, 142(8): 081006.
Paper No: DS-19-1499
https://doi.org/10.1115/1.4046673
Published Online: April 6, 2020
View Articletitled, Data-Driven Performance Monitoring of Dynamical Systems Using Granger Causal Graphical Models
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Topics: Delays, Dynamic systems, Root cause analysis, Spatiotemporal phenomena, Time series, Probability, Entropy, Control equipment, Modeling, Risk-based maintenance
Includes: Supplementary data
Proceedings Papers

Deep Reinforcement Learning for Adaptive Traffic Signal Control

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Kai Liang Tan, Subhadipto Poddar, Soumik Sarkar, Anuj Sharma
Proc. ASME. DSCC2019, Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles, V003T18A006, October 8–11, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2019-9076
https://doi.org/10.1115/DSCC2019-9076
View Paper titled, Deep Reinforcement Learning for Adaptive Traffic Signal Control
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Topics: Signals, Traffic, Control equipment, Sensors, Engineers, Intersections, Simulation
Journal Articles

A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting

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Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2019, 141(11): 111401.
Paper No: MD-19-1165
https://doi.org/10.1115/1.4044397
Published Online: September 16, 2019
View Articletitled, A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting
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Topics: Design, Flow (Dynamics), Shapes, Columns (Structural), Microfluidics, Optimization
Includes: Supplementary data
Proceedings Papers

Characterizing Combustion Instability Using Deep Convolutional Neural Network

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Tryambak Gangopadhyay, Anthony Locurto, Paige Boor, James B. Michael, Soumik Sarkar
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T13A004, September 30–October 3, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2018-9208
https://doi.org/10.1115/DSCC2018-9208
View Paper titled, Characterizing Combustion Instability Using Deep Convolutional Neural Network
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Topics: Artificial neural networks, Combustion, Trains, Acoustics, Combustion systems, Flames, Robustness, Sound pressure, Transients (Dynamics)
Proceedings Papers

Navigation Strategies for a Multi-Robot Ground-Based Row Crop Phenotyping Platform

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Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Singh, Sourabh Bhattacharya
Proc. ASME. DSCC2018, Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control, V003T32A009, September 30–October 3, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2018-9096
https://doi.org/10.1115/DSCC2018-9096
View Paper titled, Navigation Strategies for a Multi-Robot Ground-Based Row Crop Phenotyping Platform
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Topics: Navigation, Robots, Algorithms, Collisions (Physics), Engineering simulation, Scalar functions, Simulation, Teams
Proceedings Papers

Autonomous Mobile Sensing Platform for Spatio-Temporal Plant Phenotyping

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Homagni Saha, Tianshuang Gao, Hamid Emadi, Zhanhong Jiang, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Singh, Sourabh Bhattacharya
Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T21A005, October 11–13, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2017-5207
https://doi.org/10.1115/DSCC2017-5207
View Paper titled, Autonomous Mobile Sensing Platform for Spatio-Temporal Plant Phenotyping
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Topics: Decision making, Design, Dynamics (Mechanics), Flow (Dynamics), Modeling, Navigation, Robots, Steering systems
Proceedings Papers

Damage Detection of Bridge Network With Spatiotemporal Pattern Network

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Chao Liu, Yongqiang Gong, Simon Laflamme, Brent Phares, Soumik Sarkar
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T12A003, October 12–14, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2016-9858
https://doi.org/10.1115/DSCC2016-9858
View Paper titled, Damage Detection of Bridge Network With Spatiotemporal Pattern Network
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Topics: Bridges (Structures), Damage, Spatiotemporal phenomena, Maintenance, Decision making, Dynamic response, Feature extraction, Filtration, Finite element methods, Noise (Sound)
Proceedings Papers

Detection and Analysis of Combustion Instability From Hi-Speed Flame Images Using Dynamic Mode Decomposition

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Sambuddha Ghosal, Vikram Ramanan, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T12A005, October 12–14, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2016-9907
https://doi.org/10.1115/DSCC2016-9907
View Paper titled, Detection and Analysis of Combustion Instability From Hi-Speed Flame Images Using Dynamic Mode Decomposition
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Topics: Combustion, Flames, Dynamics (Mechanics), Flow (Dynamics), Stability, Combustion chambers, Computer simulation, Feature extraction, Flight, Fluid dynamics
Proceedings Papers

Comparative Evaluation of Control-Oriented Zone Temperature Prediction Modeling Strategies in Buildings

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Venkatesh Chinde, Jeffrey C. Heylmun, Adam Kohl, Zhanhong Jiang, Soumik Sarkar, Atul Kelkar
Proc. ASME. DSCC2015, Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications, V002T34A009, October 28–30, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2015-9864
https://doi.org/10.1115/DSCC2015-9864
View Paper titled, Comparative Evaluation of Control-Oriented Zone Temperature Prediction Modeling Strategies in Buildings
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Topics: Modeling, Structures, Temperature, Artificial neural networks, Complex systems, Computation, Energy consumption, Energy resources, Robustness, Structural dynamics
Proceedings Papers

Understanding Wind Turbine Interactions Using Spatiotemporal Pattern Network

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Zhanhong Jiang, Soumik Sarkar
Proc. ASME. DSCC2015, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems, V001T05A001, October 28–30, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2015-9784
https://doi.org/10.1115/DSCC2015-9784
View Paper titled, Understanding Wind Turbine Interactions Using Spatiotemporal Pattern Network
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Topics: Spatiotemporal phenomena, Wind turbines, Modeling, Turbines, Renewable energy, Wind, Wind energy, Wind power
Proceedings Papers

Scalable Anomaly Detection and Isolation in Cyber-Physical Systems Using Bayesian Networks

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Sudha Krishnamurthy, Soumik Sarkar, Ashutosh Tewari
Proc. ASME. DSCC2014, Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing, V002T26A006, October 22–24, 2014
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2014-6365
https://doi.org/10.1115/DSCC2014-6365
View Paper titled, Scalable Anomaly Detection and Isolation in Cyber-Physical Systems Using Bayesian Networks
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Topics: Cyber-physical systems, Algorithms, Commercial construction
Journal Articles

Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines

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Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2013, 135(1): 014506.
Paper No: DS-11-1309
https://doi.org/10.1115/1.4007699
Published Online: November 7, 2012
View Articletitled, Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines
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Topics: Flaw detection, Gas turbines, Time series, Transients (Dynamics), String, Probability, Engines, Testing
Journal Articles

Data-Driven Fault Detection in Aircraft Engines With Noisy Sensor Measurements

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Soumik Sarkar, Xin Jin, Asok Ray
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research Papers
J. Eng. Gas Turbines Power. August 2011, 133(8): 081602.
https://doi.org/10.1115/1.4002877
Published Online: April 6, 2011
View Articletitled, Data-Driven Fault Detection in Aircraft Engines With Noisy Sensor Measurements
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Topics: Feature extraction, Flaw detection, Optimization, Sensors, Time series, Gas turbines, Noise (Sound), Aircraft, Simulation, Engines
Proceedings Papers

Optimization of Time-Series Data Partitioning for Parameter Identification

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Soumik Sarkar, Kushal Mukherjee, Xin Jin, Asok Ray
Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 1, 867-874, September 12–15, 2010
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2010-4058
https://doi.org/10.1115/DSCC2010-4058
View Paper titled, Optimization of Time-Series Data Partitioning for Parameter Identification
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Topics: Optimization, Time series, Construction, Dynamics (Mechanics), Entropy, Machinery, Nonlinear dynamical systems, Nonlinear systems