Short Course: Analytics for PHM
Course Dates: October 30 – 31, 2022
Course Administrator: Jeff Bird, TECnos and PHM Society Education & Professional Development Chair, firstname.lastname@example.org
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 expected to bring a laptop to use the Colab application developed for the course (see below).
Topics include (most with embedded case studies and examples):
- Overview of data-driven PHM
- Review of Fundamental statistics
- Data Visualization
- Machine learning – introduction and concepts
- Data transformation & feature extraction
- Introduction to Neural Networks
- Hands-on Lab
- Feature selection
- Characterizing performance
- Model Selection
- Anomaly detection
- Deep Learning I
- Deep Learning II
- Practical matters
- Hands-on Lab
We will go around the room on the first day to have short introductions from each participant to know their name, organization, and what they would like to get out of the course. We usually have a great mix of organizations and nations!! Please raise your hand for clarification during the talks. Provocative or wider domain questions are welcome but may be gathered for discussion in a plenary segment. Paper copies of the slides will be available when you arrive the first morning. No soft copies are provided.
Technical: The optional (but encouraged) labs correspond to some of the big topics of the lectures. The labs will be on Google’s Colab, which is a free notebook environment (although you do need a Google account) that runs entirely in the cloud. Colab will allow you to run all of the necessary Python libraries. There is a Colab tutorial HERE.
If you intend to participate in the lab portion of the course, we will send you a link with the code and data to verify that you are able to open and execute it before the start of the course. Data, code, and libraries are already in the Colab doc so you could you will be able to try them out to tweak and explore the tools and results.
We look forward to meeting you.
Dr. Neil Eklund, PARC
Jeff Bird, TECnos and PHM Society Education and Professional Development Chair