Failure Data and Reliability Statistics
Maintenance intervals are usually set by habit rather than by what failure data shows. This course covers collecting usable failure data and applying reliability analysis to set intervals and predict failures.
Course outline
What this programme covers, module by module.
- 01Why failure data is usually unusable and how to fix that
- 02Reliability measures and calculating them correctly
- 03Failure distributions and what each implies
- 04Infant mortality, random failure and wear out
- 05Setting maintenance intervals from data
- 06Availability, downtime and their true cost
- 07Predicting spares demand from failure behaviour
What you will gain
- Collect failure data that can actually be analysed
- Calculate reliability measures correctly
- Fit and interpret failure distributions
- Distinguish infant mortality, random and wear out failures
- Set maintenance intervals from data rather than habit
- Predict spares demand from failure behaviour
Who should attend
- Reliability engineers
- Maintenance planners and engineers
- Asset managers
- Data analysts supporting maintenance
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 9 to 11 Nov 2026 | Dubai | 3 Days | US$1,500 | |
| 30 Nov to 2 Dec 2026 | Pretoria | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | Durban | 3 Days | R13,000 | |
| 8 to 10 Feb 2027 | Cape Town | 3 Days | R13,000 | |
| 13 to 15 Apr 2027 | Johannesburg | 3 Days | R13,000 | |
| 21 to 23 Jun 2027 | London | 3 Days | US$1,500 |
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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