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Study on Health and Usage Monitoring System for Gearbox of Military Helicopter

Author: LiuBenJi
Tutor: GongShiYu
School: National University of Defense Science and Technology
Course: Military Equipment
Keywords: Military helicopters HUMS Gearbox Fault Diagnosis Wavelet Packet Genetic Algorithms BP network
CLC: V275.1
Type: Master's thesis
Year: 2011
Downloads: 33
Quote: 0
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Abstract


Helicopter power system as the heart of the military helicopter, its failure will directly affect the flight safety of the helicopter to carry out power system HUMS research has important practical significance for improving the power system security. As an important part of the helicopter power system the gearbox operating environment is often harsh and changeable, once failure often lead to serious accidents. In view of this article, select the gearbox of the helicopter to carry out as a typical parts and Usage Monitoring System, which lay the foundation for the power system HUMS achieve. In order to improve the effect of the helicopter gearbox fault diagnosis for the test object to a certain type of helicopter in the reducer, using wavelet packet analysis method, the extraction method for the in-depth study on the characteristics of the gearbox. The genetic algorithm optimized BP network method to improve the traditional BP network in the lack of a gearbox fault diagnosis, fault diagnosis accuracy and convergence rate. Helicopter gearbox monitoring and diagnosis prototype system is constructed on this basis. Specifically, the paper carried out the following research: (1) helicopter gearbox fault type and vibration mechanism, including the type of gear and bearing failure and Vibration Analysis, based on the gear box fault monitoring methods; ( 2) based on wavelet packet analysis gearbox feature extraction methods, and the effectiveness of the method is verified by experiments, provide feature inputs to the neural network approach to fault diagnosis; (3) research based on genetic algorithm optimized BP network gearbox fault diagnosis method proposed limitations and shortcomings of the genetic algorithm to optimize BP neural network to improve BP network, fault diagnosis model based on wavelet packet analysis and genetic BP network gearbox. Experimental verification of the method compared with the traditional BP network method has a convergence speed gearbox fault diagnosis faster, better stability and higher diagnostic accuracy; (4) to study the design of the power system of the helicopter HUMS software, including hierarchical fusion architecture and open ground for airborne architecture, and conducted in-depth research and analysis of the software modules in the power system of the helicopter HUMS system, initially established a general framework and design of the helicopter power system HUMS programs. Then inadequate the original monitoring function for the gearbox of the helicopter, the design of the overall structure of the helicopter gearbox HUMS, onboard monitoring system and ground the functional components of the diagnostic system and key technology were introduced. The dissertation is a practical guide for the engineering design of the power system of the helicopter HUMS.

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CLC: > Aviation, aerospace > Aviation > Various types of aircraft > Short-range and vertical - lift aircraft > Helicopters, rotorcraft
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