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Airplane engine air compressor stall detection method

An aircraft engine and fault detection technology, applied in electrical testing/monitoring, testing/monitoring control systems, instruments, etc., can solve problems such as inability to accurately detect aircraft engines, time lag, and difficulty in finding engine stall faults in a timely and accurate manner

Inactive Publication Date: 2015-11-25
中国人民解放军空军勤务学院
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AI Technical Summary

Problems solved by technology

[0003] The detection of the stall fault of the aircraft engine compressor is currently mainly judged by the performance changes of the engine after the stall. It is an after-the-fact detection method, and there is a large time lag. It is difficult to find the stall fault of the engine in a timely and accurate manner.
Therefore, the current fault detection method cannot accurately detect the fault of aircraft engine stall.

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  • Airplane engine air compressor stall detection method

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Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055]When the high-speed multi-stage axial flow compressor works in a steady state at medium and high speeds, if the intermediate stage stalls, it will directly cause engine surge. Therefore, for most aircraft engines using axial flow compressors, in the steady state of medium and high speeds, the anti-surge system can be instructed to work by detecting the stall signal. It can prevent the large loss of the boost ratio and efficiency of the compressor, and is of great significance for improving the stability of the engine work.

[0056] The detection of aircraft engine compressor stall failure is currently mainly judged by the performance changes of the engine after the stall, which belongs to the post-event detection method, and there is a large time lag. When the compressor stalls, the pressure fluctuation caused by the stalled air mass will change the mode charact...

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Abstract

The invention discloses an airplane engine air compressor stall detection method. The method comprises steps: a sensor is firstly used for collecting pressure signals when the air compressor is in a normal working condition or in a stall condition, and pretreatment is carried out; a negative selection principle in an artificial immune system is then used for building a neural network detector, and the fault detection ability of the detector is improved through training; and finally, stall detection is carried out on the acquired airplane engine air compressor pressure fluctuation signals with a fault label. The negative selection principle in the artificial immune system is used for building the neural network detector, abnormal mode information of the air compressor is stored in the distributed detector through training, fault is found out according to activation of the detector, stall signals can be detected instantly when stall happens, and the detection speed is improved; existing historical data are fully used through training, and the detection rate is improved; and stall of the airplane engine air compressor can be accurately and effectively detected.

Description

technical field [0001] The invention relates to an aircraft engine fault detection method, in particular to an aircraft engine compressor stall fault detection method. Background technique [0002] When the high-speed multi-stage axial flow compressor works in a steady state at medium and high speeds, if the intermediate stage stalls, it will directly cause engine surge. Therefore, for most aircraft engines using axial flow compressors, in the steady state of medium and high speeds, the anti-surge system can be instructed to work by detecting the stall signal. It can prevent the large loss of the boost ratio and efficiency of the compressor, and is of great significance for improving the stability of the engine work. [0003] The detection of aircraft engine compressor stall failure is currently mainly judged by the performance changes of the engine after the stall, which belongs to the post-event detection method, and there is a large time lag. Therefore, the current faul...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0254G05B23/024
Inventor 李乐喜侯胜利史霄霈周扬王涛乔丽沐爱勤
Owner 中国人民解放军空军勤务学院
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