Conferences

PHM19

Scottsdale, Arizona, USA
21 – 26 September 2019

Key Conference Dates

  • PHM Short Courses: 21–22 Sep 2019
  • Doctoral Symposium: 23 Sep 2019
  • Measurement & Evaluation for PHM in Manufacturing Workshop: 23 Sep 2019
  • Technical Program: 24–26 Sep 2019

Key Submission Dates

  • Abstract Submissions Due: 4 Mar 2019 18 Mar 2019
  • Abstract Acceptance Notification: 15 Mar 2019 29 Mar 2019
  • Paper Submission Due: 6 May 2019 13 May 2019
  • Paper Acceptance Notification: 8 Jul 2019
  • Final Papers Due: 5 Aug 2019

PHME20

Turin, Italy
1 – 3 July 2020

A Review: Prognostics and Health Management in Automotive and Aerospace
Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus Olhofer, Steffen Limmer, and Thomas Baeck    Read
Diagnostics of actuation system by Hadamard product of integrated motor current residuals applied to electro-mechanical actuators
Sreedhar Babu G., Sekhar A.S., Lingamurthy A    Read
A Predictive Maintenance Approach for Complex Equipment Based on a Failure Mechanism Propagation Model
Olivier Blancke, Amélie Combette, Normand Amyot, Dragan Komljenovic, Mélanie Lévesque, Claude Hudon, Antoine Tahan, Noureddine Zerhouni    Read
Automated Fault Detection of Wind Turbine Gear Box using Data-Driven Approach
Hemanth Mithun Praveen, Tejas, Sabareesh G R    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.

  

Job Description

The data scientist hired into this position will work with the consultant
and product teams to primarily assist in the development of predictive monitoring and predictive quality models for various industrial and manufacturing applications. In developing these models, the data scientist will employ pre-processing techniques, feature extraction, anomaly detection, supervised regression and classification methods.

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Offshore renewable energy technologies have the potential to support traditional renewable energy sources and contribute to the energy mix in the short-medium term. Wave energy is an emerging area among the offshore renewable energy systems, where the motion of ocean waves is converted into electricity. Different technologies have been suggested [1], but all include different components to convert mechanical energy into electricity [2,3], which have a significant impact on the final performance and maintenance of the wave energy devices.

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Idaho National Laboratory is seeking a Postdoctoral Research Associate in a Nuclear, Electrical, Mechanical, Computer Engineering or related field for the Instrumentation, Controls, and Data Science Department.

You will be working on the project funded by different U.S Department of Energy programs that include, Light Water Reactor Sustainability Program, Nuclear Energy Enabling Technology Program, and others.

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Company: 
General Motors R&D
Date Posted: 
September 23, 2019
Contact: 
Yilu Zhang, yilu.zhang@gm.com

GM R&D is hiring!

About GM

There’s never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why work for us

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Company: 
GE Aviation
Date Posted: 
September 22, 2019
Contact: 
Yan3.Chen@ge.com

The ideal candidate for Lead Engineer - Analytics, Engineering Data Science Lab will lead all digital aspects of Engineering division process initiatives. He/she will help identify, drive, and execute strategic process Initiatives aligned to the organizational blueprint. This role will be responsible for developing a culture of process innovation connecting our business digitally through data, quality transformation, and process excellence.

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Company: 
Global Technology Connection Inc.
Date Posted: 
September 12, 2019
Contact: 
jwilliams@globaltechinc.com

Global Technology Connection Inc. is an award-winning engineering firm with over 20 years of history as a wide range of product and service provider in the areas of Predictive Analytics; Modeling and Simulation; Data Science and Failure Analysis for analyzing, predicting the health of critical assets. We are recognized as one of the leading innovators in the field of complex asset Condition-Based maintenance (CBM) and Prognostics and Health Management (PHM) technologies.

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REQUESTED POSITION TITLE: Senior Prognostics and Health Management Engineer

COLLEGE / DIVISION / DEPARTMENT: Golisano Institute for Sustainability

POSITION SUMMARY - Brief overview of job purpose. (Why does the job exist? What is the main function or overall purpose of the job?)

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Company: 
Seagate Technology
Date Posted: 
June 17, 2019
Contact: 
Allan Luk (allan.luk@seagate.com)

About Our Group

The Analytics Business Solutions team from Operations & Technology Advanced Analytics Group is seeking a talented Machine Learning Engineer in Singapore for a high profile initiative helping our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.

About the Role - You will

Be our 'Go-to' Machine Learning Engineer. Focus on Seagate advanced analytics projects related to Machine Learning (ML) and/or Artificial Intelligence (AI).

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Company: 
Seagate Technology
Date Posted: 
June 17, 2019
Contact: 
Allan Luk (allan.luk@seagate.com)

About the Role – You will:

A key function of this role is to facilitate the advancements of modern analytical techniques across the organizations.

Leverage and/or develop innovative data mining and machine learning methods to solve novel and diverse business problems
Focus on edge analytics, edge computing projects by applying techniques in machine learning, deep learning, and statistical algorithms
Develop data science solutions for analytics challenges in the areas of Edge Computing, IoT sensors, Industry 4.0, Prognostics and Health Management, and other technical areas

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The positions are civilian position with the Navy in Patuxent River, MD.

The individual would work in the Propulsion and Power Engineering Department working in the diagnostics branch. The propulsion diagnostics branch personnel support the aircraft the US Navy/Marine Corp fly performing Prognostic and Health Management (PHM) on aircraft propulsion and power systems.

We have numerous efforts involving predictive analytics, big data analysis, Machine Learning, and Condition Based Maintenance (CBM) in support of Naval Aviation.

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