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Janis Terpenny
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Journal Articles

Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction

Yupeng Wei, Dazhong Wu, Janis Terpenny
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2022, 5(2): 021009.
Paper No: NDE-21-1041
https://doi.org/10.1115/1.4053620
Published Online: February 18, 2022
View Article titled, Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction
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Topics: Sensors, Signals, Service life (Equipment), Complex systems
Proceedings Papers

A Survey of Methods and Approaches to Knowledge Management in the Product Development Environment

Maria Benson, Janis Terpenny
Proc. ASME. IDETC-CIE2001, Volume 1: 21st Computers and Information in Engineering Conference, 557-565, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/CIE-21288
https://doi.org/10.1115/DETC2001/CIE-21288
View Paper titled, A Survey of Methods and Approaches to Knowledge Management in the Product Development Environment
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Topics: Knowledge management, Product development, Engineering design, Collaboration, Concurrent engineering, Databases, Design, Engineering design processes, Expert systems, Strategic planning
Proceedings Papers

A Decision-Level Data Fusion Approach to Surface Roughness Prediction

Yupeng Wei, Dazhong Wu, Janis Terpenny
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A030, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2976
https://doi.org/10.1115/MSEC2019-2976
View Paper titled, A Decision-Level Data Fusion Approach to Surface Roughness Prediction
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Topics: Additive manufacturing, Data fusion, Process monitoring, Surface roughness
Proceedings Papers

Surface Roughness Prediction in Additive Manufacturing Using Machine Learning

Dazhong Wu, Yupeng Wei, Janis Terpenny
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A018, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6501
https://doi.org/10.1115/MSEC2018-6501
View Paper titled, Surface Roughness Prediction in Additive Manufacturing Using Machine Learning
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Proceedings Papers

Scalable Detection of Defects in Additively Manufactured PLA Components

Amol Kulkarni, Amey Vidvans, Mustafa Rifat, Gregory Bicknell, Xi Gong, Guha Manogharan, Janis Terpenny, Saurabh Basu
Proc. ASME. MSEC2018, Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing, V001T01A042, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6623
https://doi.org/10.1115/MSEC2018-6623
View Paper titled, Scalable Detection of Defects in Additively Manufactured PLA Components
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Topics: Additive manufacturing, Rotation, Imaging, Lasers, Resolution (Optics)
Journal Articles

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

Dazhong Wu, Connor Jennings, Janis Terpenny, Soundar Kumara, Robert X. Gao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. April 2018, 140(4): 041005.
Paper No: MANU-17-1344
https://doi.org/10.1115/1.4038002
Published Online: February 12, 2018
View Article titled, Cloud-Based Parallel Machine Learning for Tool Wear Prediction
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Topics: Algorithms, Machine learning, Wear, Manufacturing, Milling, Cloud computing, Cutting, Sensors, Vibration
Proceedings Papers

Ensemble Prognostics With Degradation-Dependent Weights: Prediction of Remaining Useful Life for Aircraft Engines

Zhixiong Li, Dazhong Wu, Chao Hu, Janis Terpenny, Sheng Shen
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A045, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68315
https://doi.org/10.1115/DETC2017-68315
View Paper titled, Ensemble Prognostics With Degradation-Dependent Weights: Prediction of Remaining Useful Life for Aircraft Engines
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Topics: Aircraft engines, Algorithms, Engines, Service life (Equipment), Weight (Mass)
Proceedings Papers

Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear

Dazhong Wu, Connor Jennings, Janis Terpenny, Robert Gao, Soundar Kumara
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A048, June 4–8, 2017
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2017-2679
https://doi.org/10.1115/MSEC2017-2679
View Paper titled, Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear
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Topics: Wear, Artificial neural networks, Manufacturing systems, Artificial intelligence, Algorithms, Failure, Machine learning, Machinery, Maintenance, Manufacturing
Journal Articles

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

Dazhong Wu, Connor Jennings, Janis Terpenny, Robert X. Gao, Soundar Kumara
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. July 2017, 139(7): 071018.
Paper No: MANU-16-1567
https://doi.org/10.1115/1.4036350
Published Online: April 18, 2017
View Article titled, A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
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Topics: Algorithms, Artificial neural networks, Wear, Machine learning
Journal Articles

Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data

Kevin Lesniak, Janis Terpenny, Conrad S. Tucker, Chimay Anumba, Sven G. Bilén
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research-Article
J. Comput. Inf. Sci. Eng. September 2017, 17(3): 031010.
Paper No: JCISE-16-2084
https://doi.org/10.1115/1.4035001
Published Online: February 16, 2017
View Article titled, Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data
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Topics: Algorithms, Rendering, Sensors, Virtual reality, Design
Proceedings Papers

Networked, Real Time Translation of 3D Mesh Data to Immersive Virtual Reality Environments

Kevin Lesniak, Conrad S. Tucker, Sven Bilen, Janis Terpenny, Chimay Anumba
Proc. ASME. IDETC-CIE2016, Volume 1B: 36th Computers and Information in Engineering Conference, V01BT02A053, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59762
https://doi.org/10.1115/DETC2016-59762
View Paper titled, Networked, Real Time Translation of 3D Mesh Data to Immersive Virtual Reality Environments
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Topics: Virtual reality, Algorithms, Computer-aided design, Computers, Design, Engineering prototypes, Internet, Rendering, Sensors, Teams
Proceedings Papers

A Survey of Cloud-Based Design and Engineering Analysis Software Tools

Dazhong Wu, Janis Terpenny, Dirk Schaefer
Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A016, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59341
https://doi.org/10.1115/DETC2016-59341
View Paper titled, A Survey of Cloud-Based Design and Engineering Analysis Software Tools
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Topics: Computer software, Design, Internet, Thread
Proceedings Papers

Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems

Dazhong Wu, Janis Terpenny, Li Zhang, Robert Gao, Thomas Kurfess
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A032, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8559
https://doi.org/10.1115/MSEC2016-8559
View Paper titled, Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems
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Topics: Manufacturing, Machinery, Internet of things, Maintenance, Cloud computing, Computer software, Cyber-physical systems, Data storage systems, Failure, Machine learning
Proceedings Papers

Forecasting Obsolescence Risk Using Machine Learning

Connor Jennings, Dazhong Wu, Janis Terpenny
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A033, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8625
https://doi.org/10.1115/MSEC2016-8625
View Paper titled, Forecasting Obsolescence Risk Using Machine Learning
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Topics: Machine learning, Risk, Bills of materials, Design, Electronics, Innovation, Product design
Proceedings Papers

Performance Evaluation of Cloud-Based High Performance Computing for Finite Element Analysis

Dazhong Wu, Xi Liu, Steve Hebert, Wolfgang Gentzsch, Janis Terpenny
Proc. ASME. IDETC-CIE2015, Volume 1A: 35th Computers and Information in Engineering Conference, V01AT02A043, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-46381
https://doi.org/10.1115/DETC2015-46381
View Paper titled, Performance Evaluation of Cloud-Based High Performance Computing for Finite Element Analysis
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Topics: Finite element analysis, Performance evaluation, Cloud computing, Computer-aided engineering, Simulation, Bridges (Structures)
Journal Articles

Economic Benefit Analysis of Cloud-Based Design, Engineering Analysis, and Manufacturing

Dazhong Wu, Janis Terpenny, Wolfgang Gentzsch
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. August 2015, 137(4): 040903.
Paper No: MANU-14-1607
https://doi.org/10.1115/1.4030306
Published Online: August 1, 2015
View Article titled, Economic Benefit Analysis of Cloud-Based Design, Engineering Analysis, and Manufacturing
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Topics: Cloud computing, Computer software, Design, Economics , Manufacturing
Proceedings Papers

A Study of Correlation Between DMSMS Obsolescence and Counterfeit Electronics

Liyu Zheng, Nihal Orfi, Janis Terpenny
Proc. ASME. IDETC-CIE2014, Volume 1B: 34th Computers and Information in Engineering Conference, V01BT02A005, August 17–20, 2014
Publisher: American Society of Mechanical Engineers
Paper No: DETC2014-35424
https://doi.org/10.1115/DETC2014-35424
View Paper titled, A Study of Correlation Between DMSMS Obsolescence and Counterfeit Electronics
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Topics: Electronics, Aircraft, Avionics, Decision making, Governments, Manufacturing, Military systems, Risk, Ships, Testing
Proceedings Papers

Ontology-Enabled Data Inquiry for Cost Analysis and Obsolescence Mitigation

Xiaomeng Chang, Liyu Zheng, Janis Terpenny
Proc. ASME. IDETC-CIE2013, Volume 2B: 33rd Computers and Information in Engineering Conference, V02BT02A006, August 4–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DETC2013-12251
https://doi.org/10.1115/DETC2013-12251
View Paper titled, Ontology-Enabled Data Inquiry for Cost Analysis and Obsolescence Mitigation
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Topics: Ontologies
Proceedings Papers

Design Refresh Planning Models for Managing Obsolescence

Liyu Zheng, Janis Terpenny, Peter Sandborn, Raymond Nelson, III
Proc. ASME. IDETC-CIE2012, Volume 5: 6th International Conference on Micro- and Nanosystems; 17th Design for Manufacturing and the Life Cycle Conference, 579-590, August 12–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: DETC2012-70743
https://doi.org/10.1115/DETC2012-70743
View Paper titled, Design Refresh Planning Models for Managing Obsolescence
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Topics: Cycles, Design, Uncertainty
Proceedings Papers

Ontology-Based Malfunction Forecast and Root Cause Analysis in Product Design

Xiaomeng Chang, Janis Terpenny
Proc. ASME. IDETC-CIE2012, Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B, 937-945, August 12–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: DETC2012-70754
https://doi.org/10.1115/DETC2012-70754
View Paper titled, Ontology-Based Malfunction Forecast and Root Cause Analysis in Product Design
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Topics: Ontologies, Product design, Root cause analysis, Errors, Design, Cycles, Knowledge management