Kilpatrick, Stephen A.; Whittington, Austin J.; Southwest Research Institute® (International Foundation for Telemetering, 2017-10)
      Traditional flight test sensing applications require installation of not only the sensor but also supporting cabling and interfacing infrastructure. The cost of this supporting infrastructure increases when it must cross pressure vessel boundaries, extend long distances, or interfere with operation of the aircraft. The continuing cost and schedule pressures on flight test programs demand approaches that minimize installation complexity and reduce the need to modify the aircraft under test. Some emerging approaches have leveraged wireless techniques for data transmission but this can only be used in certain circumstances and does not address the problem of power distribution. This paper describes ongoing research into alternative sensing approaches that utilize a mix of video processing, distributed processing, and power harvesting to provide additional solutions.

      Noonan, Patrick J.; Whittington, Austin J.; Ibaroudene, Hakima; Moodie, Myron L.; Southwest Research Institute® (International Foundation for Telemetering, 2017-10)
      The growth of network and distributed technologies in flight test instrumentation (FTI) has provided the benefits of flexibility, scalability, and compatibility with prevalent computing capabilities. However, to achieve these capabilities, the complexity of each piece of FTI and the overall system has increased dramatically. Even with systems composed of equipment from a single vendor, it is important to have management systems that provide the flexibility to adapt quickly to various system configurations and present unified information to the flight test users. The growth of network technologies and then standardized approaches such as iNET standards becoming accepted IRIG 106 standards is leading to the growth of multi-vendor systems. These multi-vendor systems further increase the need for rapidly reconfigurable management systems. This paper describes a constraints engine we have developed to enable flexible system management systems and reflects on how these techniques have been used successfully in the iNET System Manager.