Conferences

PHM15

San Diego, California
Oct 19 - Oct 24, 2015

Key Dates

- Abstract Due: Apr 10, 2015
- Doctoral Symposium Proposals: May 04, 2015
- Paper Submission Due: May 15, 2015
- Technology Demos proposals: June 12, 2015
- Panel Session proposals: June 12, 2015
- Paper Review Feedback: July 17, 2015
- Final Papers Due: August 07, 2015

Just Concluded

PHM14

Fort Worth, Texas
Sep 29 - Oct 2, 2014

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Sponsors

Hybrid particle Petri nets for systems health monitoring under uncertainty
Quentin Gaudel, Elodie Chanthery, Pauline Ribot    Read
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems
Johann Schumann, Kristin Y. Rozier, Thomas Reinbacher, Ole J. Mengshoel, Timmy Mbaya, Corey Ippolito    Read
Global Sensitivity Analysis applied to Model Inversion Problems: A Contribution to Rail Condition Monitoring
René Schenkendorf, Jörn C. Groos    Read
Sensor-Based Degradation Prediction and Prognostics for Remaining Useful Life Estimation – Validation on Experimental Data of Electric Motors
Federico Barbieri, J. Wesley Hines, Michael Sharp, Mauro Venturini    Read
  

The department of Human Factors, Controls, and Statistics is looking for a summer graduate intern to work on monitoring, diagnosis, and prognosis research. During the internship, student will interact with a team of dynamic researchers and customers. Student will be developing diagnostic and prognostic models for large electric motors used in nuclear power plants.

Internship Duration: May 18, 2015 to August 15, 2015

Student with background in electrical, mechanical, nuclear, or related engineering field are encouraged to send their CV to Vivek Agarwal at vivek.agarwal@inl.gov.

  

Multiple Ph.D. scholarships are available at the Singapore University of Technology and Design (SUTD) for a highly qualified candidate in the field of prognostics and system health management (PHM). The candidate should have a relevant background in applied mathematics / statistics and be interested in applying different mathematical tools and techniques for real-time lifecycle prediction of engineering devices and systems in general.

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Data Scientist-Milwaukee WI
Responsibilities

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Internship opportunity available at PARC in Monitoring, Prognostics, Diagnostics, and Action Recommendations

About the Job

PARC is working on an innovative project to monitor the health condition of devices, enabling accurate inferences about their state. This will be used to deliver recommendations for decision support. The analytics will focus on fusion of multiple sources of data from device; fusion of physics-based modeling and machine learning approaches, which allows insight generation and accurate “actionable” recommendations.

Responsibilities

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One post-doctoral position is available at the Singapore University of Technology and Design (SUTD) for a highly qualified candidate in the field of prognostics and system health management (PHM). The candidate should have a relevant background in applied mathematics / statistics and be interested in applying different mathematical tools and techniques for real-time lifecycle prediction of engineering devices and systems in general.

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