Program 02 · Specialized engineering program
Applied AI for Mechanical Engineers
Apply AI, engineering data and modern digital methods to practical mechanical engineering problems: reliability, condition monitoring, vibration analysis and rotating equipment diagnostics.
What it is
An applied program, not an academic course. The emphasis is on application, analysis, diagnosis and problem solving, using AI-assisted methods on realistic equipment problems.
Who it is for
Mechanical engineering students, and mechanical, reliability, maintenance and condition monitoring engineers, including those working with rotating equipment.
Focus areas
- Reliability Engineering
- Condition Monitoring
- Vibration Analysis
- Engineering Data Analysis
- Equipment Diagnostics
- Rotating Equipment
- Equipment Anomaly Investigation
- Engineering Case Studies
Rotating equipment
A major specialization.
Taught through investigation of real equipment behavior, using one repeatable method.
- Observe
- Investigate
- Analyze
- Diagnose
- Recommend
- Compressors
- Pumps
- Gas Turbines
- Steam Turbines
- Bearings
- Lubrication Systems
- Equipment Performance
- Equipment Health
Reliability
Understanding how and why equipment fails.
Condition Monitoring
Reading equipment health from data.
Vibration Analysis
Interpreting vibration behavior on machines.
Rotating Equipment
Compressors, pumps and turbines in service.
Anomaly Investigation
Separating real problems from false alarms.
Case studies
Learn through real engineering problems.
Compressor vibration anomaly
A compressor shows an unexpected rise in vibration.
- Problem
- Data
- Investigation
- Diagnosis
Bearing temperature increase
Bearing temperature climbs without an obvious cause.
- Problem
- Data
- Investigation
- Diagnosis
Pump performance degradation
A pump delivers less than it used to.
- Problem
- Data
- Investigation
- Diagnosis
Build practical AI capability.
Workshops and programs for students, engineers and campuses.