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Sensor Fault Diagnosis Method of Aeroengine Control System Based on AANN Network Group

A technology for aero-engine and sensor failures, applied in general control systems, control/adjustment systems, test/monitoring control systems, etc., can solve problems such as difficult to adapt to engine work uncertainties and complex working conditions, misjudgments, missed judgments, etc. , to achieve the effect of improving the fault detection rate, improving the rapidity, and good robustness

Active Publication Date: 2022-03-25
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

However, the basic AANN network cannot accurately simulate the interaction between variables in the engine gas system, so it is difficult to adapt to the uncertain and complex working conditions of the engine, which will cause misjudgment and missed judgment.

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  • Sensor Fault Diagnosis Method of Aeroengine Control System Based on AANN Network Group
  • Sensor Fault Diagnosis Method of Aeroengine Control System Based on AANN Network Group
  • Sensor Fault Diagnosis Method of Aeroengine Control System Based on AANN Network Group

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Embodiment Construction

[0061] It is difficult to establish a mathematical model for aero-engine control systems, and the effect of fault diagnosis is often restricted by the accuracy of the model; and the current fault diagnosis technology for sensors can complete fault diagnosis and isolation, but it needs to be carried out in two or more steps. There is also less research on signal reconstruction; according to the requirements of rapid diagnosis, the diagnosis system needs to be able to detect, isolate and restore faults at the same time. Moreover, the aero-engine sensors work under severe working conditions, and there are many interferences, and the basic AANN network is difficult to adapt to the uncertainty and changeable working conditions of the engine. Therefore, in order to solve the above problems, improve the accuracy of sensor fault diagnosis, efficiently and accurately identify the failure mode of complex nonlinear aero-engine systems, realize the synchronization of sensor fault detection...

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Abstract

The present invention proposes a method for diagnosing sensor faults in an aero-engine control system based on an AANN network group. Firstly, a number of measurable sensor data in the control system of an aero-engine are collected under different working conditions to obtain a sample data set; The AANN network; input the sample data set into the corresponding AANN network, and calculate the residual between the network input and output at each moment; then use the residual to calculate the adaptive threshold that changes in real time with the measurement state, and compare the residual and adaptive thresholds for fault diagnosis. The invention realizes the synchronization of sensor fault detection, isolation and signal reconstruction functions, meets the requirements of robustness, is insensitive to noise interference, and adapts to the uncertainty and changeable working conditions of aeroengines.

Description

technical field [0001] The invention belongs to the field of aero-engine control system fault diagnosis, in particular to an aero-engine control system sensor fault diagnosis method based on an AANN network group. Background technique [0002] Aero-engines are complex thermal machines that work in high-speed, high-load and high-temperature environments for a long time, and require extremely high reliability and safety. The aero-engine control system works on the basis of sensor measurement signals, but due to the large amount of sensor measurement data, wide distribution and special installation location, it is the easiest control system to work under high temperature, high pressure and strong vibration conditions for a long time. failed component. Once the sensor fails, it may lead to the failure of the entire control system, resulting in serious economic losses. Therefore, it is of great significance to carry out timely and effective fault diagnosis and signal reconstruc...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065
Inventor 李慧慧缑林峰刘志丹杨江
Owner NORTHWESTERN POLYTECHNICAL UNIV
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