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This article describes the design, development, build and flight testing of a health monitoring system for the landing gear and the electrical power system on board the Demon prototype unmanned airborne vehicle. Demon is a flying technology demonstrator which successfully flew in September 2010. The Demon can achieve pitch and roll control without...
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Semi-active control system are becoming more popular because they offer the reliability of passive systems and the versatility of active control systems without imposing heavy power demands. It has been found that magnetorheological (MR) fluids can be designed to very effective vibration control actuators. MR damper is a semi-active control device...
Citations
... And, in the field of aerospace, Knight P ,Cook J and Azzam H used the large amount of data from Helicopter health and usage management systems(Hums) to detect faults of helicopters 13 . Lawson C.P and Al Monterzino G designed a health monitoring system for prototype unmanned airborne vehicle by real-time monitoring multiple parameters 14 . Here, we present a new method that applies ML to data processing of rudder test, and it can analyse large amounts of measurement data quickly and present the results accurately. ...
Rudders are the important components of aircrafts, missiles and ships, and their traditional test equipment is not intelligent enough, so we have to evaluate their performance by observing every parameter manually. This situation makes it impossible to test the rudders rapidly and in quantity. In this paper, we present a new application in the field of rudder test based on machine learning (ML) and describe new methods for performance evaluation and state prediction. The main topics are concentrated on prediction-oriented problems of multiple performance data mining and modeling: analysis and extraction of data feature, performance scoring based on regression algorithm and cross-validation, screening of defective products and fault location based on classification algorithm and accuracy evaluation. Besides, we propose a new optimized decision tree algorithm (SFLA-MWDT) which solves the common decision difficulty in tree models caused by low-precision decision and high-vote competition. Here, through ‘automatic acquisition + intelligent analysis’, we break through the shortcomings of traditional rudder testing methods and technical bottleneck of low parameter testing efficiency. This test method is applicable to those rudders that have already produced but not yet in use. Also, it provides guidance for the production and practice of rudders.
... Thus, it might be interesting to extend that approach to flying conditions. Some other prototypes integrate pressure sensors, but only dedicated to unmanned vehicles [9]. Therefore, improvements could be made to design a system with a small mechanical footprint, and an ability to help predictive maintenance. ...
During flight, the aircraft mass repartition has a deep impact on its stability together with the landing phase. As far as landing is one of the most critical phase of a flight, before taking off, pilots have to take care of the aircraft's center of gravity, by estimating masses and their repartition. Aircraft owners also would like to be informed of landing gears wear, so predictive maintenance would be an added value for safety. This paper presents the design of an embedded system prototype which continously provides monitoring about the status of the shock absorbers (pressure and accelerations inside them). Our theoritical model shows that, on the first hand, pressure inside shock absorbers is directly linked to the mass estimation; on the other hand, acceleration at landing phase is linked to the effort. The authors propose a mechatronic sytem to measure masses sustained by each landing gear, using low-power electronic boards, MEMS sensors, and a Java Human Machine Interface (HMI) for smartphones.
