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Study on Fault Detection and Diagnosis Methods for the Sensors of Liquid-Propellant Rocket Engines

Author: LiAnHe
Tutor: LiuHongGang
School: National University of Defense Science and Technology
Course: Aeronautical and Astronautical Science and Technology
Keywords: Liquid rocket engine Sensor Median filter Wavelet Analysis Principal Component Analysis Self - related neural network Fault detection and diagnosis
CLC: V434
Type: Master's thesis
Year: 2008
Downloads: 114
Quote: 0
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Abstract


Around the sensor test data preprocessing and fault detection and diagnosis , based on the median filter , wavelet analysis , linear principal component analysis , in -depth study of self - association neural network method of sensor fault detection and diagnosis of liquid rocket engine technology. First, the system introduces the course of the development of liquid rocket engine sensor fault detection and diagnosis of existing technology and the research status and development trend . Second, remove noise problem for sensor fault detection and diagnosis data , a median filter and wavelet analysis combined data preprocessing methods . The median filter is used to eliminate the impulse noise in the test data , the wavelet analysis was used to eliminate other stationary random noise in the test data . The test results show that this method can effectively remove the noise . Again, whether the measurement sensor based on liquid rocket engines correlation , respectively, based on the traditional linear principal component analysis and self- associated neural network nonlinear principal component analysis of the development of a sensor fault detection and diagnosis , fault sensor research data iterative method of recovery . The verification results show that the above method is not only effective detection and diagnosis of liquid rocket engine sensor failure , and better fault sensor data recovery . Finally, the design and implementation of integrated sensor data pre - denoising fault simulation , fault detection and diagnosis , and results of visual display function of the liquid rocket engine sensor fault detection and diagnosis simulation software . Thesis research results on the development of practical engineering of liquid rocket engine sensor health monitoring system to improve the reliability and accuracy of its fault detection and diagnosis has important reference value .

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CLC: > Aviation, aerospace > Aerospace ( Astronauts ) > Propulsion system ( engine, propeller ) > Liquid propellant rocket engine
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