Abstract: Methods for verifying satisfaction of prognostic algorithm requirements for a component of a certain device of interest are provided. A method according to an example of an embodiment of the invention can include providing a prognostic algorithm requirements statement for a preselected component contained in each of a plurality of a certain type device, receiving field data indicating a number of premature component failures and a total number of replacements including both due to premature failures and scheduled maintenance, determining a probability density function providing a probability of failing to replace the prematurely failed components, determining a confidence value indicating a level of confidence that failure avoidance requirements provided in the prognostic algorithm statement are being met, and verifying whether or not the prognostic algorithm requirements provided in the prognostic algorithm requirements statement are being satisfied according to a preselected minimum level of confidence.

Abstract: An manufacturing method that uses synthetic redundancy to optimize equipment reliability, performance, weight, and cost. The manufacturing method identifies critical components, that would ordinarily require a redundant component to meet reliability and safety requirements, and replaces them with a single, non-redundant component. Safety and reliability is maintained by using prognostic health management to replace the non-redundant critical component prior to its failure. Verification techniques are used to ensure reliability requirements are being met.

Abstract: Methods for verifying satisfaction of prognostic algorithm requirements for a component of a certain device of interest are provided. A method according to an example of an embodiment of the invention can include providing a prognostic algorithm requirements statement for a preselected component contained in each of a plurality of a certain type device, receiving field data indicating a number of premature component failures and a total number of replacements including both due to premature failures and scheduled maintenance, determining a probability density function providing a probability of failing to replace the prematurely failed components, determining a confidence value indicating a level of confidence that failure avoidance requirements provided in the prognostic algorithm statement are being met, and verifying whether or not the prognostic algorithm requirements provided in the prognostic algorithm requirements statement are being satisfied according to a preselected minimum level of confidence.

Abstract: An manufacturing method that uses synthetic redundancy to optimize equipment reliability, performance, weight, and cost. The manufacturing method identifies critical components, that would ordinarily require a redundant component to meet reliability and safety requirements, and replaces them with a single, non-redundant component. Safety and reliability is maintained by using prognostic health management to replace the non-redundant critical component prior to its failure. Verification techniques are used to ensure reliability requirements are being met.