Conferences

PHM-E’12

ISBN: 978-1-936263-04-2
Dresden, Germany
July 3-5, 2012

Key Dates

Registration Opens: March 16, 2012
Final Papers Due: June 1, 2012

PHM’12

ISBN: 978-1-936263-05-9
Minneapolis, MN USA
Sept 23-27, 2012

Key Dates

Paper submission Opens: December 6, 2011
Paper Submission Due: June 4, 2012 (Extended)
Registration Opens: June 1, 2012
Final Papers Due: August 20, 2012

Feature Extraction and Pattern Identification for Anemometer Condition Diagnosis
Longji Sun, Chao Chen, Qi Cheng    Read
Applying Weibull Distribution and Discriminant Function Techniques to Predict Damage Cup Anemometers in the 2011 PHM Competition
Joshua Cassity, Christopher Aven, Danny Parker    Read
An Auto-Associative Residual Processing and K-means Clustering Approach for Anemometer Health Assessment
David Siegel, Jay Lee    Read
Remaining Useful Lifetime (RUL) - Probabilistic Predictive Model
Ephraim Suhir    Read
  
Company: 
SGT (NASA Ames Research Center)
Date Posted: 
April 25, 2012
Contact: 
abhinav.saxena@nasa.gov

RESEARCH BACKGROUND

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Company: Analatom Incorporated
Position: Artificial Intelligence / Data Mining Engineer (US Permanent Residency or Citizenship Required) Location: Sunnyvale, CA Web: www.analatom.com

Analatom provides research and development services to industry and government institutions. Its core technologies are Micro Electro Mechanical Systems (MEMS) sensors and Structural Health Monitoring/Management Systems based on sensor data and advanced analytical techniques.

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Company: 
SGT (NASA Ames Research Center)
Date Posted: 
February 5, 2012
Contact: 
kai.goebel@nasa.gov

Work performed for this Research Scientist position will explore different methods to predict remaining life of components, subsystems, and systems within the aerospace domain. To that end, physics-based models of the component in question will be designed as well as models of the degradation mechanisms. These will be used in conjunction with appropriate algorithms (such as – but not constrained to – Particle Filters, Kalman Filters, and similar) to assess the health of a component and predict the remaining life conditional on anticipated future load and future environmental conditions.

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The presentations and notes from the Battery Management Systems Workshop are posted here. The workshop was held on September 26 during PHM'11 in Montreal, with nearly 60 people from industry, academia, and government in attendance.

  
 
 
 

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