An ANS based helicopter transmission diagnostic system

From the development effort for the CH-46 Helicopter Aft Transmission Fault Detector project the following can be concluded. The optimized-entropy training algorithm, successfully configured and optimized an ANS for processing vibration signals, albeit test signals from a test stand transmission with implanted faults. The ANS successfully analyzed the test data with, no false alarms, no failures to detect, and no misclassifications of original test data. Additionally, no false alarms, and no failures to detect and a very small percentage of misclassification rates (0.16%) on an expanded test data set. It is worth noting that diagnostic systems in use today are reported to have false alarms rates as high as 40 percent. The total detection time needed for classification to occur per instant is less than 0.002 seconds. When combining each instant with others into a time buffer the final classification always takes less than 1 second. The development of an ANS for use as a helicopter transmission fault detector diagnostic system is both feasible and has a high probability of success