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Fault Diagnosis on Fuel Control System of a Certain Aero-engine

Author: WangLei
Tutor: QuWeiDong
School: Shanghai Jiaotong University
Course: Control Theory and Control Engineering
Keywords: Aircraft engine Signed directed graph Fault Diagnosis Fuel conditioning system Hydraulic servo valve Principal Component Analysis Wavelet Packet Energy Eigenvector Support Vector Machine
CLC: V263.6
Type: Master's thesis
Year: 2012
Downloads: 73
Quote: 0
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Abstract


The fuel conditioning system is an important part of the aero-engine control systems. With the aero-engine control to improve accuracy, the performance of the pros and cons of the fuel conditioning system is particularly important. In addition, the failure of performance often encountered in practice, such as over-temperature super turn, speed swing, etc., are often due to regulator failure. Therefore, the fault diagnosis of aero-engine fuel conditioning system has a very important engineering significance. If the engine is not thoroughly understand and learn complex characteristics of the aero-engine fuel conditioning system working mechanism, will not be able to achieve the corresponding fault detection and diagnosis. In this paper, based on symbolic knowledge model directed graph SDG (Signed Directed Graph), the model is able to express complex causal relationship has the ability to accommodate large-scale potential information can be specific solutions for the complex structure of aero-engine, the cause of the malfunction problems. Relative to other fault diagnosis algorithm is simple and intuitive, SDG, convenient in practical engineering. From the engineering point of view, based on engineering experience for a particular type of aero-engine fuel control system to establish a the corresponding the SDG knowledge system model, customize the fault inference algorithm, and verify the effectiveness of the algorithm. The basis of the analysis of the overall failure of the fuel conditioning system, the key components of electro-hydraulic servo valve fault diagnosis. Electro-hydraulic servo valve as a key component of the fuel conditioning system, its performance is good or bad a direct impact on the stability and accuracy of the system. Present article analyzes the working principle of the electro-hydraulic servo valve, hydraulic simulation model and fault simulation, and thus access to fault data by adjusting the model parameters; respectively SVM (support vector machine, SVM), principal component analysis - support vector machine (principal component analysis-support vector machine, PCA-SVM) and wavelet packet energy feature vector - support vector machine (wavelet packet energy eigenvector-support vector machine, WPEE-SVM)) fault classification. Comprehensive comparative classification accuracy and speed, choose PCA-SVM as the best diagnostic algorithms, as well as to prove the validity of the PCA-SVM algorithm. Finally, the article describes the the engine integrated simulation platform. For the structure and function of the simulation platform, a brief description of a certain extent.

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CLC: > Aviation, aerospace > Aviation > Aeronautical Manufacturing Technology > Aero-engine manufacturing > Fault Analysis and
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