Conferences

PHMAP17

Jeju, Korea
Jul 12 - Jul 15, 2017


Key Dates

  • Abstract Due: 20 January, 2017 10 February, 2017
  • Short or Full Paper Submission Due: 24 February, 2017
  • Paper Review Feedback: 21 April, 2017
  • Final Papers Due: 19 May, 2017
  • Pre-registration Due: 19 May, 2017

PHM17

St. Petersburg, Florida
Oct 2 - Oct 5, 2017


Key Dates

  • Abstract Due: 21 April 2017
  • Doctoral Symposium Proposals: 8 May 2017
  • Paper Submission Due: 19 May 2017
  • Technology Demos proposals: 9 June 2017
  • Paper Review Feedback: 14 July 2017
  • Final Papers Due: 4 August 2017
Condition Based Maintenance of Low Speed Rolling Element Bearings using Hidden Markov Model
Guru Prakash, Sriram Narasimhan, Mahesh Pandey    Read
A Bayesian approach to fault identification in the presence of multi-component degradation
Yufei Lin, Skaf Zakwan, Ian Jennions    Read
Feature Selection for Monitoring Erosive Cavitation on a Hydroturbine
Seth W. Gregg, John P.H. Steele, Douglas L. Van Bossuyt    Read
Novel In-Service Combustion Instability Detection Using the Chirp Fourier Higher Order Spectra
Len Gelman, Colin Parrish, Ivan Petrunin, Mark Walters    Read
  

You set up research projects with top companies in Flanders to develop autonomous machines, robots and vehicles. You and your team execute the projects by modeling the system design, the controller and testing and validating the autonomous systems in the brand new lab infrastructure.

Flanders Make researchers help manufacturing companies in making high-performance, flexible and autonomous machines, robots and vehicles, f.e. by rethinking the entire system architecture using a variety of (beyond) state-of-the art technologies.

Develop intelligent, self-learning supervisory controllers

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Company: 
PARC, a Xerox Company
Date Posted: 
January 17, 2017

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

PARC’s System Sciences Lab (SSL) is unlike any organization in the world. Combine the best of an esteemed research organization, a top notch university, an entrepreneurial startup, and a premiere technology company and you get SSL, a team that melds its world-class innovation chops with a focus on researching and developing real world applications that have market potential.

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Company: 
PARC, a Xerox Company
Date Posted: 
January 2, 2017

Exciting Opportunity for Senior Researchers in Condition-Based Maintenance and Systems Management Technologies at PARC, a Xerox Company in Palo Alto, CA.

Senior Researcher with PhD in Electrical, Mechanical Engineering or related fields with experience in prognostics, predictive analytics, diagnostics, image/data analysis, machine learning or control systems.

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The aim of this project is develop an advanced framework that integrates the capability of automatic feature learning provided by machine learning with the physics-based and the domain knowledge-based feature selection methods.

If you are eligible to apply for this research studentship, please complete the online application form which can be found at:

https://www.cranfield.ac.uk/research/phd/intelligent-feature-extraction-and-selection-framework-for-fault-diagnosis-and-prognosis

Many thanks,

Dr Zakwan Skaf

IVHM Centre
Cranfield University

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