Overview
Course Overview
Learn to implement predictive maintenance programs that reduce downtime and maintenance costs. This advanced course covers sensor deployment, data analysis, and ML-based predictions.
What You’ll Learn
- Condition Monitoring: Deploy sensors for critical equipment parameters
- Data Analysis: Interpret sensor data for maintenance insights
- Predictive Models: Build ML models for failure prediction
- Integration: Connect predictions to maintenance workflows
Industry Impact
Organizations implementing predictive maintenance typically see:
- 25-30% reduction in maintenance costs
- 70-75% decrease in equipment breakdowns
- 35-45% reduction in downtime
- 20-25% increase in production
Curriculum
01
video 20:00
Introduction to Predictive Maintenance
02
video 25:00
Condition Monitoring Fundamentals
03
video 30:00
Vibration Analysis
04
video 25:00
Temperature & Thermal Monitoring
05
video 25:00
Oil & Lubricant Analysis
06
video 20:00
Data Collection Strategies
07
video 35:00
Machine Learning Models
08
video 30:00
Failure Prediction Algorithms
09
video 25:00
Maintenance Scheduling Optimization
10
video 20:00
Integration with CMMS
11
reading 30:00
Case Study: Oil Refinery Implementation
12
quiz 45:00
Final Assessment
Certificate Requirements
Predictive Maintenance Engineer
- Complete all 12 modules
- Pass assessment with 80%+
- Review case study
