2018 Guangbin Yang

Reliability Symposium

Engineering Center, Oakland University,
Rochester, MI

Sponsored by:

Hosted by:

Organized by:

Highlights

Keynote Speaker

Message from our Sponsor:
ASQ Automotive Division Chair

Speakers

Consultant & Instructor

GM Retiree

Good FMEAs, Bad FMEAs, What's the Difference?

Carl S. Carlson

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Manager - Calibration Innovation & Technical Problem Solving

FCA US LLC

Variance Estimate from a Single Emissions Test

John Phillips

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Professor

John F. Dodge Chair of Engineering

Oakland University

Recent Advances in Random Vibrations of Nonlinear Systems for Reliability, Durability and Accelerated Testing

Zissimos Mourelatos, Ph.D.

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Assistant Professor

Stewart School of Industrial and Systems Engineering

Georgia Tech University

Machine Learning Meets Prognostics: Analysis of High-Dimensional Data Streams for Time-to-Failure Prediction

Kamran Paynabar, Ph.D.

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Six Sigma Master Black Belt

Ford Motor Company

Strategies for Successful DMAIC Problem Solving

Scott Sterbenz

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Associate Professor

Wayne State University

From Micro to Macro: Reliability Analysis and Failure prediction of Advanced High Strength Steels considering Material Microstructure Image Information

Qingyu Yang, Ph.D.

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Global Reliability Engineering Leader

Aptiv

Applying Failure Prognostics to Reduce the Duration of Automotive Electronics Reliability Testing

Andre Kleyner Ph.D.

Poster Session Participants

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Mechanical Engineering Department

Oakland University

Sheared Edge Stretchability of Advanced High Strength Steels

Saeid Nasheralahkami,

Sergey Golovashchenko, Ph.D.

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Mechanical Engineering Department

Oakland University

Modeling and Simulation of Repairable Systems for Warranty Forcasting

Themistoklis Koutsellis, Ph.D., Zissimos P. Mourelatos, Ph.D.

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Industrial and Systems Engineering Department

Wayne State University

A Statistical Approach to Microstructures with Application in Reliability Analysis

Mohammad Aminisharifabad,

Qingyu Yang, Ph.D.

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Department of Electrical and Computer Engineering

Oakland University

Prognostics Models for Automotive ECUs

Subramaniam Ganesan, Ph.D.

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Assistant Professor

Decision & Information Sciences

University of Massachusetts Dartmouth

Advanced Analytics for Large-Scale Failure Time Data

Keivan Sadeghzadeh, Ph.D.

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Expo Session Participants

IEOM Society

Industrial and Systems Engineering Department

Plato

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Harpco Systems

ASQ Automotive Division

DFR Solutions

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