Introduction to Reliability Engineering - Probabilistic Reliability
5 important questions on Introduction to Reliability Engineering - Probabilistic Reliability
Concept of reliability as a probablity
Why does quantifying numbers increase uncertainty?
- More information needed
- Varying environments
- creators of product
- consumers of product
- Subjectivity in classifications of failures by engineers
How is reliability quantified?
- Reliability
- 0-1 (1 being desirable)
- Failure
- 0-1 (0 being desirable)
Specifying reliability:
- Failure rate
- mean number of failures in a given time
- MTBF (mean time between failures)
- for items which are repaired and returned to use
- MTTF (mean time to failure)
- for items which are not repaired
- Proportion of total population of items failing during the mission life
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What is a limitation statistical distrbution concerning reliability?
- Variability hard to quantify
- Data expensive
What is a limitation of statistical variation concernign reliability?
- Operating cycles
- Diurnal or seasonal cycles
- Maintenance period
- AND SO ON
Reliabilty data from past cannot be used for forecasts of future behaviour without taking into account non-statistical factors such as:
- Design changes
- Maintainer training
- Unforeseeable problems in
- production
- service
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