Conferences

PHM18

Philadelphia, Pennsylvania
24 - 27 September 2018
Download Brochure (Updated 22 Sep 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

PHME18

Utrecht, The Netherlands
3 - 6 July 2018

Gas Turbine Engine Condition Monitoring Using Gaussian Mixture and Hidden Markov Models
William R.Jacobs, Huw L. Edwards, Ping Li, Visakan Kadirkamanathan, Andrew R. Mills    Read
Prognostics Health Estimation of Lithium-ion Batteries in Charge-Decay Estimation Uncertainties – A Comparative Analysis
Chinedu Ossai    Read
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
  

In Memoriam

Dr. Myeongsu (Kay) Kang

Dr. Myeongsu Kang passed away unexpectedly Saturday, July 28, at his home. He was 38 years old. Dr. Kang was a member of the Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland.

Dr. Kang received B.E. and M.S. degrees in computer engineering and information technology and a Ph.D. in electrical, electronics, and computer engineering from the University of Ulsan, South Korea. When he joined CALCE in September 2015, he brought expertise in data analytics, machine learning, system modeling, and statistics that he applied to research in prognostics and health management (PHM). Dr. Kang published more than 60 journal papers in the field of PHM and high-performance multimedia signal processing. He recently finished editing a book on electronics PHM that will be published shortly. He also developed and taught a course on PHM.

Kay is survived by his wife Yeoung-Seon and two sons, Matthew and Mark.


Bruce Wallin

Senior Fellow, UTC Aerospace Systems
Mar 22, 1959 – Apr 28, 2018

The PHM Community has lost a dear friend and colleague. Bruce Wallin passed away suddenly on April 28 at the age of 59.

Bruce was an active member and contributor to the PHM Society and to the MFPT Society. He was a recognized world expert in rotating and torsional dynamics. He developed numerous dynamic design tools and created novel experimental methods in support of the design, development, and troubleshooting of aircraft products. His colleagues described him as smart, helpful, expert, good listener, invaluable, and “a little bit of a hippy.” Just four days prior to his death, Bruce was recognized as a Senior Fellow in his long tenure of excellence as a technical expert, mentor, and teacher.

  

Apply Here:
https://www.amazon.jobs/en/jobs/675882/aws-machine-learning-scientist-audio

DESCRIPTION

Amazon is looking for talented scientists and engineers to help with our audio related initiatives within AWS AI. We are a new team of audio experts and growing fast!

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Company: 
SGT Inc., NASA Ames Research Center
Date Posted: 
September 24, 2018
Contact: 
Indranil Roychoudhury
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Company: 
Lockheed Martin
Date Posted: 
September 24, 2018
Contact: 
Mccormick, KEVIN P <kevin.p.mccormick@lmco.com>

Lockheed Martin RMS's Analytics, PHM and Artificial Intelligence (APA) Innovations team applies technology, processes and expertise to a wide variety of platform data in order to drive proactive decision-making throughout the business. Data generated from on-board Health and Usage Monitoring Systems (HUMS), aircraft operations, and aircraft maintenance is collected, conditioned and analyzed to optimize operation and maintenance of the aircraft as well as identify opportunities for improvements to an aircraft’s design and supportability.

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Company: 
Global Technologies
Date Posted: 
September 22, 2018
Contact: 
Ash Thakker

Global Technology Connection (GTC) is looking for a dynamic and motivated individual to come join a company that wants to develop and commercialize new and exciting technologies in support of industry and military objectives. GTC has been working in the area of machine learning, condition monitoring, and failure analysis for over 15 years developing innovative methods to improve performance of a wide range of engineering problems.

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Company: 
SGT Inc., NASA Ames Research Center
Date Posted: 
September 21, 2018
Contact: 
Chetan Kulkarni (SGT, NASA Ames)

PROGNOSTICS

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