Predictive Maintenance Strategy Training
Predictive maintenance (PdM) is not a tool, technique, or certification. Predictive maintenance is a philosophy that uses the equipment’s operating condition to make data-driven decisions and improve quality, productivity, and profitability. Unlike industry courses that focus on applying specific technologies like vibration monitoring or oil analysis, this course focuses on establishing, managing, and sustaining results from a comprehensive PdM program.
The Predictive Maintenance Strategy course considers predictive maintenance as a component of a larger asset management strategy to diagnose, prevent, and postpone failures. During this three-day course, you will learn the theory and application of multiple PdM technologies. You will review critical success factors of results-producing PdM programs. Through group activities and case studies, you will determine which predictive technologies to use, how to set goals for your program, track progress, and practice how to communicate results to different stakeholders. By the end of the session, you will have outlined what a successful PdM program can look like at your organization.
Learn How To
Describe the theory, application, and safety considerations of five PdM technologies:
- Vibration analysis
- Tribology (oil analysis)
- Motor circuit analysis
Draft a predictive maintenance strategy that incorporates critical success factors in the following areas:
- Data and measurement requirements
- Planning and set-up
- Monitoring the program
- Showing results
Recognize visual inspection as a component of a PdM program
Compare your current PdM program to best practices and build a plan to meet your PdM goals
Explain how a combination of predictive maintenance, condition monitoring, and non-destructive testing mitigates risk and optimizes your asset maintenance plan.
Who Should Attend
Continuing Education Students
Any person responsible for justifying or managing duties related to a PdM program