ABOUT THIS COURSE
In our increasingly digitized and networked environment, the expectations for asset management excellence are ever-growing. While an abundance of maintenance and sensor data has become available, the proper application of the data in maintenance strategies must be developed. In this course, you will discover the potential of your operational and maintenance data in the context of asset management. We will explore different machine learning algorithms and how they may be leveraged to unleash hidden patterns in your asset management strategies. We will discuss the role of the industrial internet of things in Maintenance and secure navigation of the field. This course will prepare you to lead your organization in the Industry 4.0 revolution.
WHAT YOU’LL LEARN
- Describe the main components of Industry 4.0, their key benefits, and drawbacks
- Evaluate asset management processes and strategies, and identify those most relevant to your organization
- Identify potential applications of machine learning and artificial intelligence in maintenance and reliability problemEvaluate suitability of different machine learning algorithms for a variety of applications
- Implement some basic machine learning algorithms in Python
Course Brochure: SCS PAM brochure undated