Download YAN CHEN, Ph.D. - Center for Intelligent Maintenance Systems

YAN CHEN, Ph.D.
Phone: (513) 237-1470
2403 Montana Ave
[email protected]
Cincinnati, OH 45211
GOAL
To pursue a challenging professional career in the field of data mining and predictive
analytics.
EXPERTISE

Intelligent data analysis and signal processing techniques

Data mining algorithm development, testing, and validation in complex systems

Application of a systematic body-of-knowledge of prognostics and health management
techniques in a diverse variety of industries including aviation, machinery, food &
beverage, process, semiconductor, and automotive.
EDUCATION
Ph.D. Mechanical Engineering
University of Cincinnati, Ohio, USA
09/2006~03/2012
GPA 3.89 (out of 4.00)
Dissertation: "Data Quality Assessment Methodology for Improved Prognostics Modeling"
M.Sc. Mechanical Engineering
Shanghai Jiao Tong University, China
09/2003~03/2006
GPA 2.78 (out of 3.00)
Thesis: "Escalator System Dynamic Analysis and Health Monitoring"
B.Sc. Mechanical and Automation Engineering
09/1999~09/2003
Tianjing University, China
University of Cincinnati
04/2012-Present
PROFESSIONAL Postdoctoral Research Associate
EXPERIENCE

National Science Foundation (NSF) Industry/University Cooperative Research Center
(I/UCRC) for Intelligent Maintenance System

Leading the center's projects and research initiatives with industry members, as well as
managing research publications and submittal to journals and conferences; proposal
preparation and writing to government and non-government agencies.
Doctoral Research Assistant
University of Cincinnati
04/2006-03/2012

National Science Foundation (NSF) Industry/University Cooperative Research Center
(I/UCRC) for Intelligent Maintenance System

Leading and supporting fundamental research and industry projects; taking charge of
developing and delivering demonstrations to industry members
Research Consultant at GE Global Research Center, NY, US
06/2010-09/2010

Applied data mining algorithms on jet engine component failure diagnosis

Developed sequential pattern recognition algorithms for alarm event management in
manufacturing process

Developed sensorless solutions for 5-axis grinding machine health management
Research Project Leader at GE CTC, Shanghai, China
08/2009-10/2009

Data acquisition system design and installation

Developed Condition based Monitoring (CBM) solution for large-scale machine tools
in wind-turbine manufacturing
Product Engineer at Ingersoll Rand Machinery Co., Ltd., China

INDUSTRY
PROJECT
EXPERIENCE
03/2006-09/2006
Air tools prototype design and new product design
1. GE Aviation (Aerospace Industry)
10/2010-08/2011
Developed and applied Multiple Variable Statistical Process Control algorithms for
anomaly detection; delivered a validated intelligent prognostic system in factory
environment
2. Procter & Gamble (Process Industry)
09/2006-09/2009
Designed and developed a Data Mining software package for production process
monitoring, including a toolbox of algorithms: Robust Stepwise Regression; Bayesian
Networks; Coupled Hidden Markov Model; Principal Component Analysis; Association
rule discovery; Neural Network / Self-organizing Map; and Support Vector Machine
Embedded online signal processing and anomaly detection techniques in Allen-Bradley
ControlLogix automation system (the system is validated and used in global facilities)
3. Hiwin Corporation (Taiwan Machinery Industry)
01/2012-03/2012
Developed and applied a Gaussian Process Regression based Remaining Useful Life
(RUL) prediction algorithm for machine feed axis health prognosis
4. Applied Materials (Semiconductor Industry)
09/2012-03/2013
Benchmarked feature selection, clustering, classification data mining algorithms for their
utilization in Wafer Fab Equipment (WFE) health monitoring and prognosis, including
Spectral clustering, KNN, SVM, Fisher criteria, Information Gain, Local Outlier Factor
5. Woodward, Inc (Automation/Control Industry)
04/2012-01/2013
Developed and applied a General Neural Network based Remaining Useful Life Prediction
algorithm for engine actuator health monitoring
6. Goodyear (Tire & Automotive Components Industry)
03/2010-05/2010
Initialized a project for Smart Service & Intelligent Maintenance of Tire Systems
7. TechSolve, Inc (Ohio Edison Technology Center)
03/2008-01/2009
Developed Neural Network based data analysis algorithms for signal processing, system
failure detection and prediction of a variety of machinery systems and sub-components.
8. Industrial Technology Research Institute (Taiwan National R&D Organization )
03/2010-01/2011
Investigated data modeling method for Lithium-ion battery capacity fading prediction;
patented and to be applied for Electric Vehicle battery health monitoring and smart service
models
Yan Chen C.V. - Page 2
PUBLICATIONS
(SELECT)

Y Chen, F Zhu, J Lee, “Data Quality Evaluation and Improvement for Prognostic
Modeling using Visual Assessment based Data Partitioning Method”, Computers in
Industry (In Press)

Y Chen, J Lee, “Autonomous Mining for Alarm Correlation Patterns based on Timeshift Similarity Clustering in Manufacturing System”, 2011 IEEE International
Conference on Prognostics and Health Management

Y Chen, H Wang, J Lee, “A new method for Feature Selection and gear defect
Detection”, Proceedings of the ASME Conference on Manufacturing Science and
Engineering (MSEC2007), SYMP 9 Diagnostics, Performance Prediction and Decision
Making for Intelligent Maintenance of Manufacturing Systems

J Lee, Y Chen, “A systematic approach for predictive maintenance service design:
methodology and applications”. International Journal of Internet Manufacturing and
Services 2009 - Vol. 2, No.1 pp. 76 - 94

Y Chen, W Li, “Spectral Clustering and Its application in Machine Failure Prognosis”
Book Chapter: Graph Theory, ISBN 979-953-307-303-2

S Wang, A Mathew, Y Chen, “Empirical analysis of support vector machine ensemble
classifiers”. Expert Systems with Applications, vol. 36, pp. 6466-6476, 2009
PATENTS
Provisional Patent 113-027 : Virtual Battery
COMPUTER
SKILLS
Programming / Data Mining / Specialty Applications:

MATLAB, SAS, JMP, NI LabVIEW, Visual C++, Java, UGS, AutoCAD, ANSYS,
ProE, SQL, RapidMiner, Statistica, Minitab
General Applications:
LANGUAGES
REFERENCES

MS Office (Excel, Word, PowerPoint, Access, Project); Adobe Acrobat

English (Proficient)

Chinese (Native Tongue)
Available upon request
Yan Chen C.V. - Page 3