Source Data Applicability Impacts on Epistemic Uncertainty for Launch Vehicle Fault Tree Models
No abstract available
Al Hassan, Mohammad↗
Engineering topics
Al Hassan, Mohammad
Publications and source records attributed to Al Hassan, Mohammad.
Source Data Applicability Impacts on Epistemic Uncertainty for Launch Vehicle Fault Tree Models
No abstract available
Al Hassan, Mohammad↗
Data Applicability of Heritage and New Hardware For Launch Vehicle Reliability Models
Bayesian reliability requires the development of a prior distribution to represent degree of belief about the value of a parameter (such as a component's failure rate) before system specific data become available from testing or operations. Generic failure data are often provided in reliability databases as point estimates (mean or median). A component's failure rate is considered a random variable where all possible values are represented by a probability distribution. The applicability of the generic data source is a significant source of uncertainty that affects the spread of the distribution. This presentation discusses heuristic guidelines for quantifying uncertainty due to generic data applicability when developing prior distributions mainly from reliability predictions.
Al Hassan, Mohammad↗