Join NVIDIA's GPU Technology Conference (#GTC20 Digital) on 5 – 9 Oct

Of note, under the Public Sector Summit, they will feature an AI Platform Sustainment track consisting for 3 talks and a distinguished panel:

Deep Learning and Predictive Analytics for Platform Sustainment Panel (Wednesday, 7 Oct 2020, 16:00 EDT)
Please join NVIDIA at this exclusive, online event to share lessons and best practices for applying AI to Predictive Maintenance and Sustainment use cases for mission critical assets, systems and processes. Learn from interactive discussion with practice owners and subject matter experts: How AI led industrial inspection, predictive maintenance, logistics, NLP and Conversational AI technologies are transforming the sustainment landscape with an aim towards realization of holist Digital Twins - to realize the safer, reliable and efficient operations while meeting the desired sustainment cost reduction objectives.

  • Greg Kacpryznski, Sr. Manager – Data Analytics Innovations, Lockheed Martin
  • Ret. Admiral John Ailes, Senior Advisor to the US Navy, US Navy (Ret.)
  • Dr. Abhinav Saxena, Senior Scientist in AI & Learning Systems, GE Research
  • Mark Roboff, General Manager, Digital Transformation, Aerospace & Defense, DXC Technology
  • Chris Milroy, Senior Data Scientist, NVIDIA

Promo Code NVEALFRIEND for $10 off $49 early bird (through Sep. 24) or $99 regular registration
NVIDIA is a sponsor of PHM20


PHME20 (now virtual)

Turin, Italy
27 – 31 July 2020 (Click here for the latest information.)
Physical conference now scheduled for 2021

PHM20 (now virtual)

Nashville, Tennessee, USA
10 – 13 November 2020 (Click here for the latest information.)
Physical conference now scheduled for 2021

Now a digital online event!

NVIDIA is a sponsor of PHM20

Latest News: We are pleased to announce that the International Journal of Prognostics and Health Management has now officially been indexed in the prestigious Emerging Sources Citation Index as part of the Web of Science Master Journal List by Clarivate Analytics (formerly Thomson Reuters).
IJPHM Journal cover


ISSN 2153-2648
SCImago Journal & Country Rank IJPHM at a Glance

Recently Published

Predictive maintenance of lead-acid batteries with sparse vehicle operational data
Sergii Voronov, Mattias Krysander, Erik Frisk    Read
Enhancing Decisions in Prognostics and Health Management Framework
Omar Bougacha, Christophe Varnier, Noureddine Zerhouni    Read
Fatigue Crack Length Estimation and Prediction using Trans-fitting with Support Vector Regression
Myeongbaek Youn, Yunhan Kim, Dongki Lee, Minki Cho, Byeng D. Youn    Read
A Hybrid Approach of Data-driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth
Hyeon Bae Kong, Soo-Ho Jo, Joon Ha Jung, Jong M. Ha, Yong Chang Shin, Heonjun Yoon, Kyung Ho Sun, Yun-Ho Seo, Byung Chul Jeon    Read

Idaho National Laboratory is seeking a Post-Doctoral Research Associate with experience in Machine Learning to join the Instrumentation, Controls, and Data Science Department. The research will focus on using machine learning to develop equipment-agnostic anomaly detection methods that can be applied to process sensors data used in the nuclear power industry. The research will also develop language processing methods to classify documents in support of anomaly detection and streamlined operations and maintenance in the nuclear industry.

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You develop advanced signal processing strategies for the design of intelligent and interconnected machines, vehicles, robots and drones.

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Seagate Technology
Date Posted: 
March 30, 2020
[email protected]

About our group:

We are part of the Operations & Technology Advanced Analytics Group. We are seeking a talented Data Scientist for a high profile initiative which will help our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.

About the role:

This role is to facilitate the advancement of modern analytical techniques across Seagate organizations

Leverage and/or develop innovative data mining and machine learning methods to solve novel and diverse business problems

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Date Posted: 
March 19, 2020
Kai Goebel - [email protected]

PARC is incubating a new software venture in the Industrial Internet of Things (IIoT) space. We are looking for an experienced Research Scientist who will be responsible for developing models for anomaly detection, diagnostics, and prognostics of failure using physics-based approaches and physics-based approaches that are infused with data driven techniques using streaming sensor data from industrial equipment.

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Cranfield University, UK
Date Posted: 
February 12, 2020
Ian Jennions, [email protected]

Cranfield University’s Integrated Vehicle Health Management Centre (IVHM) was established in 2008 between Boeing, Cranfield, and a number of other highly regarded aerospace companies (including BAE Systems, Rolls-Royce, Meggitt and Thales). The Centre is now globally recognised, having defined the subject area and developed its capability on several fronts. The development of the Centre, along with two other areas in the University, significantly contributed to the recent £65m DARTeC (Digital Aviation Research and Technology Centre) proposal success.

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Date Posted: 
February 10, 2020
Ed Alfriend ([email protected])

* Develop Industrial and PdM ecosystem for the defense and aerospace community with cross functional team: Product, Engineering, Applied Research, Marketing, and Sales
* Lead and develop strategic relationship with key startups, OEMs, ISV’s, and leading industries’ developers
* Know all NVIDIA GPU / AI computing platforms from datacenter to edge and effectively articulate the value proposition to the sustainment developer community
* Drive adoption of NVIDIA SDK’s into developer products
* Funnel relevant startups to participate in NVIDIA Inception program

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University of Strathclyde
Date Posted: 
February 10, 2020
[email protected]

EngD in the new EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures at the University of Strathclyde collaborating with Natural Power.

Developing Future Leaders in Wind and Marine Renewable Energy:

A new Centre for Doctoral Training (CDT) at the University of Strathclyde will train researchers to EngD and PhD level in wind and marine energy. Funded by the Engineering and Physical Sciences Research Council (EPSRC), a total of 70 PhD students will be recruited for four years of training and research.

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This PhD Position is funded by the Marie Curie program of the European Union through the innovative training network (ITN) “GW4SHM” on Guided Waves for Structural Health Monitoring.
-Job Location: Safran Group - Safran Tech - Paris Saclay: Safran Sensing System Department-Rue des jeunes bois Châteaufort - CS 80112, 78772 Magny-les-Hameaux Cedex-France
-Contact: Dr. Rafik HADJRIA. Email: [email protected]
-Doctoral School: Delft University of Technology-Faculty of Aerospace Engineering-Department of Aerospace Materials and Structures
-PhD Subject Description

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The Marie Skłodowska-Curie Actions Innovative Training Network (H2020-MSCA-ITN-2019-859957) “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) invites applications for 10 early-stage research (ESR) positions available with a starting date in the period June 1st –Sept 1st 2020 for a period of three years.

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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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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.


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