Predictive Maintenance and Condition Monitoring
Available in both virtual and in-person, instructor-led formats, this course provides the fundamentals of Predictive Maintenance and Condition Monitoring applicable to facilities and manufacturing production lines. With ever increasing demands from top management to accomplish more work and decrease operating costs, investing in predictive maintenance and condition monitoring tools makes more sense today than ever before
Description
While many organizations still rely heavily on time-based, preventive maintenance, it’s a proven fact that condition-based monitoring increases personnel productivity, reduces equipment downtime and saves money. Predictive Maintenance (PdM) & Condition Monitoring will provide students with a framework to make the right decisions on what equipment needs condition monitoring, what technologies to use to meet their needs and how to measure the effectiveness of their decisions. In addition to exposing students to the principles and options for a program, they will learn about real world applications that have benefited other successful maintenance programs.
Course Outline
Day One - Discussion Topics
Classroom Introductions and Establishing Seminar Goals
The Aberdeen Group Study (2006)
Understanding Maintenance Program Types & Their Effectiveness
- Break down
- Preventive
- Predictive
- NASA’s Guiding Principles of Reliability Centered Maintenance (RCM)
The Need to Identify Critical Equipment
Root Cause Analysis Tools; Examining In-House Processes
- Elements of Root Cause Analysis (RCA)
- Applying the “5-Why?” Tool
- The Ishikawa (Fishbone) Diagram
- Root Cause Analysis Data Collection Forms
- What Happened? How? Why?
- How to do Cause/Effect Charting for RCA
- Implementation Steps
How to Sell Root Cause Analysis to Management
- Building the Analysis Team
- Preserving Evaluation Data
- Analyzing the Data
- Communication of Findings and Recommendations
- Tracking Cost Savings
- Calculating Bottom Line Results
Four Foundations for Improving Reliability
- Developing and Fostering the Culture of Reliability
- Product Mission
- Reliability Specifications
Dr. W. Edwards Deming & The Shift to Quality
- The Need to Consider Quality vs. Cost Controls
- Success in Post-1945 Japan
- Success in American (late-1970’s Ford Motor Company)
Cost/Benefit Analysis Tools
Exercise: Comparing Maintenance Strategies Based on Costs/Availability with “Truck Fleet Case History”
- Run to Failure
- Scheduled Repair/Parts Replacement/On-Condition Inspections
- Applying Reliability Centered Maintenance
- A Positive Financial Impact
Day Two - Discussion Topics
Determining Overall Equipment Efficiency (OEE)
- Another Metric for Equipment Performance
- Focusing the Process Improvement Effort
Understanding Return on Investment (ROI)
Predictive Maintenance (PdM) Tools
- Vibration
- Oil Analysis
- Infrared
- Ultrasound
How PdM Technologies Integrate with RCM-Reliability Centered Maintenance
On-Line Monitoring for Instant Machine Condition Diagnostics
- Monitoring Machine Conditions
- How to Make Recommendations for Maintenance/Repair
- The Future of PdM
Introducing FMEA (Failure Modes and Effects Analysis) and FMECA (Failure Modes and Effects with Cause Analysis)
- The “Flip Side” of Root Cause Analysis
- Recovering CMMS Data
- Basic FMEA Steps & Application
The Maintenance-Operations Planning Meeting:
- Facility-Wide Inputs; Gather your Subject Matter Experts
- Prioritizing Critical Equipment
- Equipment Availability
- Labor Utilization
- Final Maintenance Schedule Recommendation
Using Maintenance Log Data
- Times-To-Failure
- Suspension Time
- MTTR -Mean Time to Repair
- MTBF - Mean Time Between Failures
Review of Seminar Goals and Addressing Remaining Questions