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Reliability Theory can be defined as the process of calculating the probability of a device to perform the task that it was created for. This probability can only be calculated in a definite time period under the specified conditions. It can also be defined as the probability of success which means subtracting the value of failures from one. Reliability theory is used in reliability engineering for various purposes and one of them is for cost-effectiveness. Also, the terms like maintenance and testability are also part of this subject. This topic is used for judging the reliability of various products by using the various quantitative and qualitative measures.
The main points to understand from this definition are these:
- The reliability of a device will be always measured in comparison to the system requirement specification
- The reliability can only be tested in a time-bound setting
- Certain conditions and constraints should be maintained before moving on to reliability testing
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- Probability density function
- Mean time to failure
- Reliability testing
- Fault tolerance
- Increasing failure rate average (IFRA)
- Bounds and system reliability
- Decreasing mean residual life (DMRL)
- Software reliability
- Reliability versus quality
- Structural and reliability importance components
- Univariate shock models and the distributions arising
- Reliability function
- Six Sigma
- Stress-strength reliability
- Hazard rate
- Accelerated life testing
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