Conferences

PHME18

Utrecht, The Netherlands
3 - 6 July 2018

Key Dates

- Abstracts sue: 31 Jan 2018 28 Feb 2018
- Paper & poster submissions due: 15 Apr 2018 30 Apr 2018
- Paper Review Feedback: mid-May 2018 1 Jun 2018
- Final paper & poster due: 31 May 2018 15 Jun 2018

PHM18

Philadelphia, Pennsylvania
24 - 27 September 2018

Key Dates

  • Paper Submission Due: 30 Apr 2018 14 May 2018
  • Doctoral Symposium Submission Due: 7 May 2018
  • Paper Review Feedback: 1 Jul 2018
  • Final Papers Due: 1 Aug 2018
Performance Assessment of a Wind Turbine Using SCADA based Gaussian Process Model
Ravi Pandit, David Infield    Read
Traffic sensor health monitoring using spatiotemporal graphical modeling
Linjiang Wu, Chao Liu, Tingting Huang, Anuj Sharma, Soumik Sarkar    Read
Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles
Edward F. Hogge, Brian M. Bole, Sixto L. Vazquez, Chetan S. Kulkarni, Thomas H. Strom, Boyd L. Hill, Kyle M. Smalling, Cuong C. Quach    Read
Selecting Suitable Candidates for Predictive Maintenance
Wieger Tiddens, Jan Braaksma, Tiedo Tinga    Read
  
Company: 
NIO
Date Posted: 
June 1, 2018

The next generation computing platform will be the autonomous driving electric vehicle. With data from in-car sensors, a mobile internet connected car, increased computing power, and new user interfaces that support a seamless autonomous driving experience, they will dramatically improve our lives. After home and work, the car is where we spend the most time, and we will be working on making that experience pleasurable. NIO is much more than a car company.

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GIS conducts applied research in the area of sustainable manufacturing, and also provides technical assistance in a wide variety of areas to industry. We are looking for an engineer or scientist with a strong experimental and analytical background to support existing research programs in prognostics and health management (PHM), and data analytics. Our two primary application areas are transportation systems, including DoD systems, manufacturing equipment and processes, and embedded product monitoring.

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Company: 
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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Company: 
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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Company: 
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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