Development of a smart system for diagnosing the operating conditions of a helicopter prototype via vibrations analysis

In the forward flight, wind loads affect helicopters and cause vibration. This paper analyzes behavior of a helicopter prototype composed by two blades when subjected to front load, similar forwarding flight condition. An Artificial Neural Network (ANN) processes experimental data in order identify pattern its dynamic behavior. The tests led Vibration analysis for different speeds. Also, indicates that vibration amplitude increases are fundamental frequency first harmonic on conducted without rotor plane tilt (hover flight). On other hand, second test performs 5-degree disc. this test, decreased frequency, related increased. ANN achieved 100% efficiency recognizing conditions prototype.