Overview of Analytics for PHMThis course is intended for engineers, scientists, and managers who are interested in data driven methods for asset health management. You will learn how to asses potential projects, identify appropriate data sets, evaluate and select models, assess the performance of pilot projects (either internal or from third-party vendors), and deploy asset monitoring systems.
|1||Overview of data-driven PHM|
|2||Machine learning - introduction and concepts|
|5||Identifying a Good Project|
|6||Introduction to Neural Networks|
… Bottom Line: Education is important to The PHM SocietyTaking 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.