Downloaded from https://www.everyspec.com ADS-79D-HDBK of system validation. The topics to be addressed in the report submittal are provided in the paragraphs B.5.4.3 and B.5.4.4. B.5.4.3 Design of the structural monitoring system. The report will define the structural monitoring system, including software and hardware including location (on-board or ground-based). A data integrity verification check process will be designed into the system and documented in the report. Dataflow and data management are an integral part of a usage monitoring system and will be considered in the validation process.
The approach to ensure data integrity considering dataflow, data storage, access, and retrieval will be provided. Also, a system for identification and tracking the monitored components will be documented as will a procedure to address a condition of an inoperative monitoring system. Any Parametric, Regime, and Damage Fraction/Life data stored on the ground station should be stored using a common non-proprietary binary format which is clearly specified within appropriate interface control documentation to allow third parties to build data conversion routines, as necessary to meet changing or future joint-platform requirements. B.5.4.4 Parameter identification and algorithms development.
SUMS monitor aircraft state parameters in order to identify the maneuver that the aircraft is performing. Parameters will be selected and data collection rates established such that critical regimes will be decisively identified. Sufficient parameters will be monitored to differentiate between regimes that cause different levels of component fatigue damage. Aircraft GW, CG location (longitudinal and lateral), and store configurations are key characteristics of damaging regimes. An effective structural monitoring system will be capable of identifying the configuration of the aircraft in order to identify the correct regime and associated damage.
The following capabilities of the monitoring system will be substantiated: a. Ability to identify the regimes that cause fatigue damage to the identified components. The parameters sampling rate should be sufficient to identify the severity of the maneuver. However, in order to minimize the quantity of data, the sampling rate should not be higher than required for that purpose. b. Ability to identify the duration of regimes when damage depends on maneuver duration. c. Ability to identify and store the sequence of regimes for maneuver to maneuver damage. The formal report will document the algorithm development and verification.
The report will provide the basis of algorithm development, the flight test database utilized in the development of the algorithms, and a listing of all parameters utilized in regime recognition algorithms. The report will document the sensitivity of regime algorithms to specific parameters. The selection of data rates will be substantiated such that peak maneuver information is properly captured while excessive rates are not selected such that a large quantity of unnecessary data is collected. The process used for optimizing the regime recognition reliability will be provided, including the process utilized in selecting between similar regimes.
The process for identifying aircraft configuration (GW, CG, and stores) will be defined. Also, the configuration/regime association will be stated (example, the configuration associated with a regime will be the configuration at the start of the regime). B.5.4.5 Scripted flights. Scripted flights should be flown based on a series of flight cards that identify the maneuvers that correspond to the regimes that are damaging to components that have been identified to receive maintenance credits based on structural usage monitoring. The characteristics of the regime that are significant to component fatigue damage will be matched during the scripted flights.
The ability to identify aircraft configuration (GW, CG, and stores) will be demonstrated. The regimes identified by the structural monitoring system will be compared to the regimes defined by flight cards 59