Introduces various technologies used for the purposes of condition monitoring in order to enable the application of Predictive Maintenance Techniques. The course will present the basic theories and methodologies of vibration analysis, infrared imaging, tribology (oil analysis), ultrasonic detection, and motor current signature analysis. The advantages, disadvantages, typical applications, and costs of each technology will be discussed as they pertain to industrial environments. This course will give an understanding of the typical tools and other resources required in order to establish a Predictive Maintenance Program. Expected ROI will also be reviewed for each technology. The student will demonstrate their knowledge by reviewing additional case studies in a laboratory setting.
Course Length
Minimum 8 hours. Four 2 hour sessions, 2 times a week for 2 weeks.
Certification Exam
25 Questions, 1 hour time limit, Open Book
Students who successfully complete this course will be able to:
- Understand the basic theories of various predictive maintenance technologies – specifically vibration analysis, infrared imaging, oil analysis, ultrasonic measurement, and motor current signature analysis.
- Recommend specific predictive maintenance technologies for typical industrial systems.
- Know how to estimate costs to implement and costs saved by the various technologies.
- Communicate the advantages and disadvantages of the various technologies.
- Gain a basic understanding of tools available to implement a Predictive Maintenance Program.
- Gain a basic understanding of the manpower and other resources required to implement a Predictive Maintenance Program.
This course has the following starting date currently offered. Click below for registration.
2 Week Course
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