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Proc. ASME. IDETC-CIE2020, Volume 2: 16th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V002T02A011, August 17–19, 2020

Paper No: DETC2020-22597

DOI: https://doi.org/10.1115/DETC2020-22597

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Topics: Pendulums, Computer simulation, Data mining, Design, Nonlinear dynamics, Simulation results, Time series

Proceedings Papers

Research on an Intelligent Diagnostic Equipment Suitable for Rail Traffic Braking System

Changzheng Fang, Jing Yang, Quan Liu, Furen Feng, Jianyong Zuo

Proc. ASME. IDETC-CIE2019, Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, V009T12A032, August 18–21, 2019

Paper No: DETC2019-97600

DOI: https://doi.org/10.1115/DETC2019-97600

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Topics: Brakes, Braking, China, Data mining, Design, Rail transportation, Rails, Safety, Subways, Traffic

Proceedings Papers

An Association Rule Approach for Identifying Physical System-User Interactions and Potential Human Errors Using a Design Repository

Nicolás F. Soria Zurita, Melissa Anne Tensa, Vincenzo Ferrero, Robert B. Stone, Bryony DuPont, H. Onan Demirel, Irem Y. Tumer

Proc. ASME. IDETC-CIE2019, Volume 7: 31st International Conference on Design Theory and Methodology, V007T06A003, August 18–21, 2019

Paper No: DETC2019-98424

DOI: https://doi.org/10.1115/DETC2019-98424

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Topics: Design, Errors, Flow (Dynamics), Data mining, Engineering prototypes, Failure mechanisms, Design engineering, Design methodology, Human factors, Safety

Proceedings Papers

Reliability Analysis Using Deep Learning

Chong Chen, Ying Liu, Xianfang Sun, Shixuan Wang, Carla Di Cairano-Gilfedder, Scott Titmus, Aris A. Syntetos

Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A040, August 26–29, 2018

Paper No: DETC2018-86172

DOI: https://doi.org/10.1115/DETC2018-86172

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Topics: Event history analysis, Failure, Maintenance, Automobiles, Data mining, Design, Stress

Proceedings Papers

Automated Graph Grammar Generation for Engineering Design With Frequent Pattern Mining

Shraddha Sangelkar, Daniel A. McAdams

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A006, August 6–9, 2017

Paper No: DETC2017-67520

DOI: https://doi.org/10.1115/DETC2017-67520

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Topics: Data mining, Design, Engineering design, Machinery, Mining, Principal component analysis, Testing

Proceedings Papers

Concept Drift and Evolution Detection in Fusion Diagnosis With Evolving Data Streams

Amirmahyar Abdolsamadi, Pingfeng Wang

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A046, August 6–9, 2017

Paper No: DETC2017-68373

DOI: https://doi.org/10.1115/DETC2017-68373

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Topics: Data mining, Engineering systems and industry applications, Flow (Dynamics), Sensors

Proceedings Papers

A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining

Liuqing Chen, Feng Shi, Ji Han, Peter R. N. Childs

Proc. ASME. IDETC-CIE2017, Volume 7: 29th International Conference on Design Theory and Methodology, V007T06A001, August 6–9, 2017

Paper No: DETC2017-67228

DOI: https://doi.org/10.1115/DETC2017-67228

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Topics: Computers, Data mining, Creativity, Algorithms, Databases, Evaluation methods, Mining

Proceedings Papers

Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques

Christine A. Toh, Elizabeth M. Starkey, Conrad S. Tucker, Scarlett R. Miller

Proc. ASME. IDETC-CIE2017, Volume 7: 29th International Conference on Design Theory and Methodology, V007T06A010, August 6–9, 2017

Paper No: DETC2017-68304

DOI: https://doi.org/10.1115/DETC2017-68304

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Topics: Creativity, Data mining, Mining, Design, Machine learning, Reliability, Evaluation methods, Testing

Proceedings Papers

Linking Creativity Measurements to Product Market Favorability: A Data-Mining Approach

Christian E. Lopez B., Xuan Zheng, Scarlett R. Miller

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A013, August 6–9, 2017

Paper No: DETC2017-67622

DOI: https://doi.org/10.1115/DETC2017-67622

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Topics: Creativity, Data mining, Design, Uncertainty, Bridges (Structures)

Proceedings Papers

Leveraging Logged Intermediate Design Attributes for Improved Knowledge Discovery in Engineering Design

Hyunseung Bang, Daniel Selva

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A014, August 6–9, 2017

Paper No: DETC2017-67835

DOI: https://doi.org/10.1115/DETC2017-67835

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Topics: Design, Engineering design, Algorithms, Data mining, Databases, Optimization algorithms, Satellites, Space

Proceedings Papers

Analysis of Drilling Process Knowledge Derived From Microdrill Catalog Database Using Data-Mining Method

Shogo Tabata, Eiichi Aoyama, Toshiki Hirogaki, Hiroyuki Kodama

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A076, August 6–9, 2017

Paper No: DETC2017-67680

DOI: https://doi.org/10.1115/DETC2017-67680

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Topics: Data mining, Databases, Drilling, Drills (Tools), Printed circuit boards, Alloy steel, Cutting, Density

Proceedings Papers

A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems

Nikolaos Papakonstantinou, Scott Proper, Douglas L. Van Bossuyt, Bryan O’Halloran, Irem Y. Tumer

Proc. ASME. IDETC-CIE2016, Volume 1B: 36th Computers and Information in Engineering Conference, V01BT02A015, August 21–24, 2016

Paper No: DETC2016-59916

DOI: https://doi.org/10.1115/DETC2016-59916

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Topics: Flaw detection, Modeling, Testing, Artificial intelligence, Data mining, Nuclear power stations, Safety

Proceedings Papers

iFEED: Interactive Feature Extraction for Engineering Design

Hyunseung Bang, Daniel Selva

Proc. ASME. IDETC-CIE2016, Volume 7: 28th International Conference on Design Theory and Methodology, V007T06A037, August 21–24, 2016

Paper No: DETC2016-60077

DOI: https://doi.org/10.1115/DETC2016-60077

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Topics: Algorithms, Data mining, Design, Dynamics (Mechanics), Engineering design, Engineering systems and industry applications, Feature extraction, Tradeoffs, Visualization

Proceedings Papers

Spike Sorting via Multi Cluster Feature Selection

Azadeh Dinparastdjadid, Ehsan T. Esfahani

Proc. ASME. IDETC-CIE2016, Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices, V003T11A008, August 21–24, 2016

Paper No: DETC2016-60456

DOI: https://doi.org/10.1115/DETC2016-60456

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Topics: Feature selection, Brain, Computers, Data mining, Machine learning, Optimization

Proceedings Papers

Framework and Feasibility Study for Pairwise Comparison Tool

Asko Ellman, Robert Wendrich, Tarja Tiainen

Proc. ASME. IDETC-CIE2016, Volume 1B: 36th Computers and Information in Engineering Conference, V01BT02A041, August 21–24, 2016

Paper No: DETC2016-59886

DOI: https://doi.org/10.1115/DETC2016-59886

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Topics: Data collection, Data mining, Design, Engineering simulation, Innovation, Simulation, User interfaces

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When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020

A Prescription for Information Prospecting, Data Mining, and Design Refinement

Data Mining From Endmill Tool Catalog Information Based on the Use of a Machine Learning Method

Using Decision Trees Supported by Data Mining to Improve Function-Based Design

Optimizing an Algorithm for Data Mining a Design Repository to Automate Functional Modeling

Data Driven Model Identification for a Chaotic Pendulum With Variable Interaction Potential

Research on an Intelligent Diagnostic Equipment Suitable for Rail Traffic Braking System

An Association Rule Approach for Identifying Physical System-User Interactions and Potential Human Errors Using a Design Repository

Reliability Analysis Using Deep Learning

Automated Graph Grammar Generation for Engineering Design With Frequent Pattern Mining

Concept Drift and Evolution Detection in Fusion Diagnosis With Evolving Data Streams

A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining

Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques

Linking Creativity Measurements to Product Market Favorability: A Data-Mining Approach

Leveraging Logged Intermediate Design Attributes for Improved Knowledge Discovery in Engineering Design

Analysis of Drilling Process Knowledge Derived From Microdrill Catalog Database Using Data-Mining Method

A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems

iFEED: Interactive Feature Extraction for Engineering Design

Spike Sorting via Multi Cluster Feature Selection

Framework and Feasibility Study for Pairwise Comparison Tool

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