Short Courses

The PHM Society offers this updated 14 hour intensive short course titled PHM Fundamentals and Case Studies— From Monitoring/Sensing to Fault Diagnosis/Failure Prognosis and Case Studies, on PHM tools, methods, applications and case studies. This follows from the first offering at the PHM14 conference in Fort Worth, TX with 48 attendees and regular ratings of 4/5.   It was also run in 2015 in San Diego, 2016 in both Bilbao, Spain and Denver USA, in St. Petersburg, USA in 2017 and Philadelphia in 2018. And Utrecht, Netherlands in July 2018, Scottsdale at PHM19, virtually in 2020, 2021 and 2022 and in Salt Lake City, 2023.

As in the previous offerings, the course will be taught by recognized international experts in the PHM field and will cover the current state of the art in PHM technologies, sensors and sensing strategies, data mining tools, CBM+ technologies, novel diagnostic and prognostic algorithms as well as a diverse array of application examples/case studies. It is addressed to engineers, scientists, operations managers, educators, small business principals and system designers interested to learn how these emerging technologies can impact their work environment.

With a lecture (with Q&A), networking and workshop format with specialist experts, participants will:

1. Establish a baseline for defining the capabilities of PHM, specifically needs and organization
2. Identify specific details of PHM Applications (metrics, sensors, cost benefits, reliability) and PHM Methods (diagnostics, prognostics, data driven methods and uncertainty)
3. Identify issues, needs and a way forward including Continuing Professional Development
4. Examine case studies of PHM applications in several domains to identify solutions and impacts
5. Plan a PHM application in two mini workshop settings with expert group leaders

Note: A PHM Society Certificate can be provided for 1.4 Continuing Professional Development Units to each participant completing the course, on request.

Workshop topic: We will work in small groups on small realistic problems: Segment one: developing PHM requirements- needs, stakeholders and metrics and Segment 2- data and modeling approaches, operational issues.  Participants are asked to bring a problem statement from their organization: Problem definition, asset of interest, health management objectives, and customer(s).

THIS SHORT COURSE IS CANCELLED

Overview: This proven 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):

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 Labs: 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 https://www.tutorialspoint.com/google_colab/google_colab_introduction.htm . 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.