Utrecht, The Netherlands
3 - 6 July 2018

Key Dates

- Abstracts sue: 31 Jan 2018 28 Feb 2018
- Paper & poster submissions due: 15 Apr 2018
- Paper Review Feedback: mid-May 2018
- Final paper & poster due: 31 May 2018


Philadelphia, Pennsylvania
24 - 27 September 2018

Key Dates

  • Paper Submission Due: 30 Apr 2018
  • Doctoral Symposium Submission Due: 7 May 2018
  • Paper Review Feedback: 1 Jul 2018
  • Final Papers Due: 1 Aug 2018
Bayesian based Prognostic Model for Predictive Maintenance of Offshore Wind Farms
Masoud Asgarpour, John Dalsgaard Sørensen    Read
A Review of Oil and Gas Pipeline Pitting Corrosion Growth Models Applicable for Prognostic and Health Management
Roohollah Heidary, Steven A.Gabriel, Mohammad Modarres, Katrina M.Groth, Nader Vahdati    Read
On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine
Elisabeth Källström, Tomas Olsson, John Lindström, Lars Håkansson, Jonas Larsson    Read
Diagnosing and Predicting Wind Turbine Faults from SCADA Data Using Support Vector Machines
Kevin Leahy, R. Lily Hu, Ioannis C. Konstantakopoulos, Costas J. Spanos, Alice M. Agogino, Dominic T.J. O'Sullivan    Read
PARC, a Xerox Company
Date Posted: 
March 5, 2018

Senior Researcher with PhD in Electrical, Mechanical Engineering or related fields with experience in prognostics, predictive analytics, diagnostics, image/data

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SGT Inc.
Date Posted: 
February 25, 2018

NASA is actively involved in researching and developing validated tools, technologies, and techniques for automated detection, diagnosis and prognosis that enable mitigation of adverse events during flight for current and next generation aerospace systems. Adverse events include those that arise from system, subsystem, or component faults or failures due to damage, degradation, or environmental hazards that occur during flight.

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PARC, a Xerox Company
Date Posted: 
December 21, 2017

Exciting internship opportunity available at PARC in System Analytics, Anomaly Detection, Failure Modeling, Monitoring, Prognostics, Diagnostics, and Action Recommendations

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One postdoctoral position is available at the Singapore University of Technology and Design (SUTD) for highly qualified candidate in the field of Failure Diagnosis, Prognostics and Health Management (PHM). The selected candidate should have a relevant background in applied mathematics / Bayesian statistics / industrial engineering / data analytics and be interested in applying different mathematical tools and techniques to real-time remaining useful life estimation of a wide variety of electronic and mechanical devices and systems, in general.

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The Institute for Energy and Environment (Department of Electronic and Electrical Engineering) in collaboration with the Maritime Safety Research Centre (Department of Naval Architecture, Ocean and Marine Engineering) at the University of Strathclyde (Glasgow, Scotland, U.K.), offers a Ph.D. position in the area of prognostics and health management methods for reliability, availability, maintainability and safety (RAMS) of maritime systems.

PhD Research Description

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