Philadelphia, Pennsylvania
24 - 27 September 2018
Download Brochure (Updated 19 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


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.

GE Global Research
Date Posted: 
September 19, 2018

Are you looking to make a meaningful impact? To solve real problems, many different skills need to come together. That is why we come together as a team to solve the toughest and most impactful industrial problems using latest technologies. If interested or curious, explore these positions open for GE Global Research's two locations Silicon Valley and New York based positions in AI & machine learning org -
Contact: Abhinav Saxena & Weizhong Yan - or meet us personally at the PHM18 conference

 Login or register to post comments

I am looking for MASc students candidates at the University of Windsor to join my research team on DPHM research for analytical and data-driven approaches towards space and aerial applications of fault diagnosis and prognosis.

If interested contact me for more information.


INRIA, APSYS-AIRBUS and NOKIA Germany are working together for a European funding project "EIT Digital- Industry 4.0"dedicated to predictive maintenance et more precisely to Root Cause Analysis.

The goal of the project is to develop a set of data-science methods, algorithms and plugins to enable manufacturers identify why and where a failure or anomaly occurred and ease dysfunctional goods reparation.

Continue reading...

An Inria spin-off, PAM is a software publisher dedicated to predictive maintenance for industry. On the strength of several collaborative ventures with large-scale industrial firms, we wish to continue developing a solution that integrates the latest R&D technologies and meets the needs of experts in the field.

Continue reading...
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.

Continue reading...

follow us

PHM Society on Facebook Follow PHM Society on Twitter PHM Society on LinkedIn PHM Society RSS News Feed