Analytics for PHM Short Course
Saturday and Sunday, 30 September – 1 October 2017
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.
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, and have some free software pre-installed.
Two, eight-hour days.
A PHM Society Certificate will be provided for nominally 1.4 Continuing Professional Development Units to each participant completing the lecture and lab portion of the course, or 1.0 Continuing Professional Development Units to each participant completing only the lecture.
Who Should Attend
The course is designed for two primary types of students:
- Managers who oversee asset health management projects, and want to know more about the technical details behind the process.
- Practitioners who want to know the theory and get hands-on experience for data driven PHM, including:
- New engineers and scientists
- Experienced engineers and scientists looking to update their skills and
understanding data driven methods
- Project managers who incorporate data driven PHM in their projects
- Individuals with a general understanding of analytics who want to see how
it is applied to PHM
Note that this course is an advanced course with only a cursory background in PHM presented – students are expected to know the basics of PHM already. New practitioners are encouraged to take the PHM fundamentals course or contact the course leader to examine their background and skills.
Course Schedule (all sessions in “Williams & Demens” room: