Engineering and TechnicalReliability Engineering and Life Data Analysis
Reliability decisions are commonly made on an average life figure that describes almost nothing about when equipment actually fails, and replacing a component at its mean life either wastes most of its useful service or misses the early failures entirely. This course covers the statistics that answer the question properly. Delegates work through failure distributions and what each implies about the underlying mechanism, life data analysis including censored data where most units have not yet failed, and Weibull analysis with the shape parameter that distinguishes infant mortality, random failure and wear out. Reliability block diagrams and system reliability follow. Optimum replacement interval is calculated. The course closes on accelerated testing, on availability modelling and on the data quality this all depends on.
Course objectives
- Select failure distributions and interpret what each implies
- Analyse life data including censored observations
- Apply Weibull analysis and interpret the shape parameter
- Distinguish infant mortality, random failure and wear out
- Build reliability block diagrams and calculate system reliability
- Determine an optimum replacement interval
- Model availability and assess whether your data supports any of it
Who should attend
- Reliability and maintenance engineers
- Asset managers and analysts
- Quality and process engineers
- Maintenance planners using failure data
- Engineers specifying equipment life requirements
Course outline
- 01An average that describes nothing
- 02Failure distributions and their meaning
- 03Life data and censored observations
- 04Weibull analysis and the shape parameter
- 05Infant mortality, random failure and wear out
- 06Reliability block diagrams
- 07Optimum replacement interval
- 08Accelerated testing, availability and data quality
Scheduled sessions
| Dates | Venue | Format | Price | Register |
|---|---|---|---|---|
| 9 to 13 November 2026 | Online | Online | R8,500 per delegate | |
| 28 December 2026 to 1 January 2027 | Lagos, Nigeria | Classroom | USD 1,325 per delegate | |
| 1 to 5 February 2027 | Cape Town, South Africa | Classroom | R19,950 per delegate | |
| 22 to 26 February 2027 | Maputo, Mozambique | Classroom | USD 1,325 per delegate |
Reliability Engineering and Life Data Analysis
From R8,500