Predictive Maintenance with Sensor Data
Sensors on equipment produce data that mostly sits unused. This course covers turning continuous machine data into predictions that trigger maintenance before failure.
Course outline
What this programme covers, module by module.
- 01Sensor data that sits unused
- 02Selecting measurements that genuinely predict failure
- 03Baselines, normal behaviour and operating context
- 04Anomaly detection and recognising deterioration
- 05Thresholds, warnings and managing false alarms
- 06From prediction to planned work order
- 07Evaluating prediction accuracy and improving the model
What you will gain
- Select measurements that actually predict failure
- Establish baselines and normal operating behaviour
- Detect anomalies and developing deterioration
- Set thresholds that balance warning against false alarms
- Convert predictions into planned maintenance work
- Evaluate whether predictions proved correct
Who should attend
- Reliability and maintenance engineers
- Condition monitoring staff
- Data analysts supporting maintenance
- Maintenance planners
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 9 to 11 Nov 2026 | Durban | 3 Days | R13,000 | |
| 23 to 25 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 7 to 9 Dec 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 15 to 17 Feb 2027 | Dubai | 3 Days | US$1,500 | |
| 3 to 5 May 2027 | Pretoria | 3 Days | R13,000 | |
| 28 to 30 Jun 2027 | Durban | 3 Days | R13,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R13,000 per delegate
- Duration
- 3 Days
- Field
- Maintenance, Reliability & Asset Management
- Formats
- In-house, public, online
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