Conferences

PHME16

Bilbao, Spain
July 5-8, 2016

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Key Dates

- Abstract Submission Open: September 1, 2015
- Abstract Submission Due: February 15, 2016
- Full Paper Submission Due: March 31, 2016 April 15, 2016
- Registration Opens: March 01, 2016
- Paper Review Feedback: May 16, 2016
- Final Papers Due: May 30, 2016



PHM16

Denver, Colorado
Oct 2 - Oct 6, 2016

Key Dates

  • Abstract Due: 15 Apr 2016 13 May 2016
  • Doctoral Symposium Proposals: May 09, 2016 May 20, 2016
  • Paper Submission Due: 13 May 2016 10 June 2016
  • Technology Demos proposals: June 10, 2016
  • Panel Session proposals: June 03, 2016
  • Paper Review Feedback: July 15, 2016
  • Final Papers Due: August 05, 2016
PHM-Based Wind Turbine Maintenance Optimization Using Real Options
Xin Lei, Peter A. Sandborn    Read
A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults
Wei Xiao    Read
Prognostic of RUL based on Echo State Network Optimized by Artificial Bee Colony
Edgar J. Amaya, Alberto J. Alvares    Read
Fault Log Recovery Using an Incomplete-data-trained FDA Classifier for Failure Diagnosis of Engineered Systems
Hyunjae Kim, Jong Moon Ha, Jungho Park, Sunuwe Kim, Keunsu Kim, Beom Chan Jang, Hyunseok Oh, Byeng D. Youn    Read
  

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity.

Come work on the Amazon Prime Air Team!

The Prime Air team is seeking a Sr. leader of Reliability Engineering to develop and administer the vehicle and mission-specific hardware reliability programs. Activities within these programs include:
- Reliability models and budgets
- Component failure prognostics

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Company: 
Palo Alto Research Center (PARC, a Xerox Company)
Date Posted: 
April 27, 2016

Research position in system modeling with applications in model-based design, reasoning, diagnosis and prognosis.

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Company: 
Palo Alto Research Center (PARC, a Xerox Company)
Date Posted: 
January 4, 2016

Exciting internship opportunities available at PARC in system failure modeling, prognostics and health management.

  
Company: 
Palo Alto Research Center (PARC, a Xerox Company)
Date Posted: 
January 4, 2016

PARC is seeking an applied research scientist in prognostics, systems health management, data analytics, machine learning, control systems, or related fields to join a team of researchers developing innovative device fleet management systems. The focus area is automated predictive analytics based on transactional, image, machine logs, and other modality data streams from a fleet of complex electromechanical devices/systems.

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