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
Automated Fault Detection of Wind Turbine Gear Box using Data-Driven Approach
Hemanth Mithun Praveen, Tejas, Sabareesh G R    Read
Editorial: Special Issue on PHM for Human Health & Performance
Wolfgang Fink    Read
Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility
Kevin Leahy, Colm Gallagher, Peter O'Donovan, Dominic T.J. O'Sullivan    Read
Application of FURIA for Finding the Faults in a Hydraulic Brake System Using a Vibration Analysis through a Machine Learning Approach
Alamelu Manghai T.M, Jegadeeshwaran 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.

  

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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[Download CFP]
Abstract/NOI Deadline March 31, 2019 April 8, 2019
Submission Deadline June 15, 2019
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Company: 
Palo Alto Research Center (PARC, a Xerox Company)
Date Posted: 
January 21, 2019

PARC Internship in System Analytics, Anomaly Characterization, System Modeling, Monitoring, Prognostics, Diagnostics, and Planning - Palo Alto, California, USA

As one of the most prolific innovation centers in the world with a rich legacy of pioneering technology breakthroughs, PARC offers an exceptional internship experience. Considered valuable members of our community, interns are fully integrated into the daily activities of PARC's highly collaborative, multidisciplinary culture.

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- About National Oilwell Varco
Every single day, we put the oil and gas industry’s best minds and more than 150 years of experience to work to help our customers achieve lasting success. We have the people, capabilities, and vision to serve the needs of a significant and evolving industry. One the world can’t live without.
Throughout every region in the world, and across every area of drilling and production, our company provides the technical expertise, advanced equipment and operational support necessary for success – now and in the future.

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Flanders Make
Flanders Make is the strategic research centre for the manufacturing industry. From our sites in Lommel, Leuven and Kortrijk, we stimulate open innovation through excellent research.

Our purpose: realising a top-level research network in Flanders that delivers full support to the innovation projects of manufacturing companies. This way, we want to contribute to new products and production processes that help to realise the vehicles, machines and factories of the future.

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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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