A civil aircraft APU performance evaluation and fault early warning method

A fault warning, civil aircraft technology, applied in the registration/indication of vehicle operation, registration/indication, instruments, etc., can solve problems such as lack, and achieve the effects of easy acquisition, improved sensitivity and reliability, and simple modeling

Active Publication Date: 2021-06-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0009] To sum up, there is a lack of a non-parametric modeling method to evaluate the performance of APU in the prior art, and real-time quantitative evaluation of the performance of the APU can be carried out without the physical model of the system or the fault or failure data of the system, effectively reducing APU outages. Failure to prevent APU from super-economic maintenance

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  • A civil aircraft APU performance evaluation and fault early warning method
  • A civil aircraft APU performance evaluation and fault early warning method
  • A civil aircraft APU performance evaluation and fault early warning method

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Embodiment Construction

[0050] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments.

[0051] The embodiment of the present invention provides a civil aircraft APU performance evaluation and fault early warning method, the flow chart is as follows figure 1 shown, including:

[0052] Step 1. Use machine learning technology to establish a "personalized" APU (Auxiliary Power Units, auxiliary power unit) health status model

[0053] 1. Assume that the working state of the APU is represented by the collected data of P sensors, and P is a positive integer. The specific data can be customized messages or QAR data. According to the actual engineering experience, the state data when the APU is started is selected. The maximum working state The one below can best reflect the actual performance level of the APU. Through correlation analysis, rel...

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Abstract

The invention discloses a civil aircraft APU performance evaluation and fault early warning method, and relates to the technical field of equipment state monitoring. On the basis of aircraft QAR data, the present invention uses machine learning technology to dig out the health state model of important parameters in the APU; then subtracts the predicted value of the health state model from the actual measured value of the APU state parameter to obtain the deviation value of the state parameter; then The deviation values ​​of several key parameters are fused into a health index using the regression model to characterize the severity of APU performance degradation, and a fault warning is issued in time according to the set warning value. The present invention is applied to civil aircraft APUs, especially for APUs that fail due to performance degradation. Events are planned to be issued; at the same time, the data for performance evaluation comes from the existing civil aircraft QAR data, which has strong practicability and operability.

Description

technical field [0001] The invention relates to the technical field of equipment state monitoring, in particular to a civil aircraft APU performance evaluation and fault early warning method. Background technique [0002] It is very beneficial to both airlines and maintenance companies to make accurate predictions in advance of the timing of APU (Auxiliary Power Units, auxiliary power units) of civil aircraft. Accurate forecasting can enable airlines and maintenance companies to make preparations in terms of funds, personnel and time in advance, so as to ensure the safety and efficiency of airline operations. Reasonable timing for repair is not only very important for aircraft, but also for APU. [0003] APU is the abbreviation of airborne auxiliary power unit. It is located at the tail of the aircraft and is a small turbine engine. Its main function is to provide power and air source. It is mainly used to start the main engine and cabin air-conditioning bleed air on the g...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07C5/00G07C5/08G06Q10/00
CPCG06Q10/20G07C5/006G07C5/0808G07C5/0816
Inventor 孙见忠王芳圆刘翠雷世英
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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