PHM Society Short Course - Analytics for PHM – Advanced Course

Date: Saturday, September 26, 2020 – Sunday, September 27, 2020
Time: 8:00 AM – 5:00 PM

This course is intended for engineers, scientists, and managers who are interested in data driven methods for asset health management. You will learn how to identify potential data driven projects, visualize data, screen data, construct and select appropriate features, build models of assets from data, evaluate and select models, and deploy asset monitoring systems. By the end of the course, you will have learned the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, detecting anomalous behavior, diagnosing faults, and estimating remaining useful life. Note that this course is an advanced course with only a brief, high-level overview of PHM presented - students are expected to know the basics of PHM already. New practitioners are encouraged to take the fundamentals course or contact the course leader to examine their background and skills.

The course is about two thirds lecture, and an optional one third hands-on lab. Students who elect to take the lab will be ex expected to bring a laptop with analytics software (R, Python, Matlab, or something similar) that they are familiar with pre-installed. Lab example solutions will be presented in Python.

Topics include:

  • Overview of data-driven PHM
  • Review of Fundamental statistics
  • Data Visualization
  • Machine learning - introduction and concepts
  • Data transformation & feature extraction
  • Classification
  • Regression
  • Introduction to Neural Networks
  • Hands-on Lab
  • Feature selection
  • Characterizing performance
  • Model Selection
  • Anomaly detection
  • Deep Learning I
  • Deep Learning II
  • Applications
  • Practical matters
  • Hands-on Lab

Instructor:
Neil Eklund, Ph. D. is an experienced technologist in the space of data science, Industrial Artificial Intelligence, machine learning, and evolutionary algorithms for multi-objective optimization, with significant experience in developing fielded solutions to industrial problems. With 20 years of deep technical experience across multiple industry segments – Aerospace, Energy, Healthcare, Finance, Rail, Oil & Gas, and US Government Research (DARPA; NASA, Department of Defense) – he has been the technical lead on a wide range of high-impact projects, resulting in 16 patents, with another four pending, and over 70 technical publications. Dr. Eklund has worked at some of the largest companies in the world – including General Electric Research and Schlumberger – and also a couple of five-person start-ups. This has allowed him to work on a wide variety of research projects, from early detection of cataract using intraocular photoluminescence to multi-objective bond portfolio optimization. Most recently, his work has focused on fielded, commercially viable asset management systems related to remote monitoring and diagnostics for military and commercial aircraft and oil & gas equipment.

… Bottom Line: Education is important to The PHM Society Education
Taking a course first is an excellent preparation to benefit from the conference and to meet students, professors and industry people from around the world and across diverse sectors.

Come for the entire conference and get reduced tuition. Special rates for fulltime students.

The educational and training experience is even better at the conference- free tutorials, workshops, peer-reviewed technical papers, poster sessions, technology demonstrations, doctoral symposium, data challenge and panel sessions. And the social events are planned to help make networking easy and enjoyable.

For information contact [email protected]

  
 
 
 

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