ADS-79D-HDBK Downloaded from https://www.everyspec.com and integrated into a candidate system. The candidate system must be installed on the target platform and must be ready to collect additional data for the credit-seeking component. Due to the complexity of structural health monitoring technologies and desire of improving level of maturity, the process also includes certain development steps needed to have a comprehensive verification. In general, the process of verifying the credit methodology for structural health monitoring looks similar to the one associated with mechanical health monitoring.
However, structural health monitoring possesses some unique technical challenges and therefore several additional steps need to be followed in its credit verification process. These steps are highlighted in the dashed oval in the process map and discussed below. Structural damage detection capability is regarded as a critical aspect of overall damage tolerance (DT) based product design and operation management approach. Often, the requirements of detection and thresholds vary from one application to another.
Sometimes, a characteristic detection capability, such as a NDE (for example, a 90/95 representing detectable damage size of 90% probability of detection with 95% of confidence), would be sufficient to represent typical damage detection capability. In other cases, a more comprehensive requirement may follow, such as entire probability of detection curve as a function of damage size. Clearly, the difference in detection requirements dictates different level of rigor in V&V process. Therefore, the detection requirements and thresholds should be clearly defined at the beginning.
Once the required damage detection metrics and associated thresholds for the candidate application are defined, the next step is to identify the key attributes impacting desired detection capability. It is quite often that the credit methodology has been developed and further verified in sub-component / component which are the same as the credit seeking component. In other cases, the developmental work has been performed on similar components and the associated variation on similarity may alter the detection capability.
This step is essentially to provide additional means to ensure all the key attributes which affect the detection capability are fully addressed for the subject credit seeking application. If additional factors are identified, design of experiment (DOE) needs to performed to setup test for additional experimental data. Upon the completion of the aforementioned steps, the rest of the steps in Figure K-14 similar to the path used in Figure K-6 for Mechanical Health Monitoring Verification. 215