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Aircraft fault early warning method and system based on aircraft fault occurrence data

A fault occurrence and fault early warning technology, applied in aircraft parts, computer parts, instruments, etc., can solve the problems of large amount of SDR fault information data, long span time, and many abnormal situations, so as to save the manual data processing process, Accurate classification and the effect of improving the level of safety management and control

Pending Publication Date: 2022-05-10
SHANDONG AIRLINES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] SDR fault information has a large amount of data, a long span of time, and many abnormal situations. Through the calculation of traditional failure rate data, it is impossible to accurately display the trend changes of components within a certain period of time, and the accuracy of maintenance prediction is low.

Method used

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  • Aircraft fault early warning method and system based on aircraft fault occurrence data

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Comparison scheme
Effect test

Embodiment 1

[0040] This embodiment provides an aircraft failure early warning method based on aircraft failure occurrence data;

[0041] like figure 1 As shown, the aircraft failure early warning method based on aircraft failure data includes:

[0042] S101: Obtain historical failure data of aircraft to be processed;

[0043] S102: Classify the aircraft historical fault data to be processed according to a predefined classification standard;

[0044] S103: Preprocessing the classified historical failure data of each type of aircraft;

[0045] S104: Using the Poisson algorithm to calculate the preprocessed historical failure data of each type of aircraft to obtain an aircraft failure warning result.

[0046] Further, the S101: Obtain historical aircraft fault data to be processed; wherein, the historical aircraft fault data includes: non-routine fault data (ie NRC) and order maintenance data (ie PO).

[0047] Further, said S102: Classify the historical aircraft fault data to be processe...

Embodiment 2

[0073] This embodiment provides an aircraft failure early warning system based on aircraft failure occurrence data;

[0074] Aircraft failure early warning system based on aircraft failure data, including:

[0075] An acquisition module configured to: acquire aircraft history failure data to be processed;

[0076] A classification module configured to: classify the historical aircraft failure data to be processed according to a predefined classification standard;

[0077] A preprocessing module, which is configured to: preprocess the classified historical failure data of each type of aircraft;

[0078] The fault early warning module is configured to: use the Poisson algorithm to calculate the preprocessed historical fault data of each type of aircraft to obtain the aircraft fault early warning result.

[0079] It should be noted here that the acquisition module, classification module, preprocessing module and fault warning module correspond to steps S101 to S104 in the first...

Embodiment 3

[0083] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

[0084] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...

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Abstract

The invention discloses an aircraft fault early warning method and system based on aircraft fault occurrence data. The method comprises the following steps: acquiring to-be-processed airplane historical fault data; classifying the historical aircraft fault data to be processed according to a predefined classification standard; preprocessing the historical fault data of each class of the classified aircrafts; and calculating each type of preprocessed airplane historical fault data by adopting a Poisson algorithm to obtain an airplane fault early warning result. Based on SDR fault occurrence data, the Poisson distribution algorithm is adopted, and SDR fault occurrence calculation, prediction analysis and alarm are achieved.

Description

technical field [0001] The invention relates to the technical field of civil aviation and aircraft SDR failure alarm prediction, in particular to an aircraft failure early warning method and system based on aircraft failure occurrence data. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] Airlines put forward relatively high requirements for effectively grasping aircraft use, maintenance status and safety dynamics, and timely discovering safety hazards in aircraft operation. Through calculation, analysis and prediction of fault information data, effective alarm data is provided to reduce the probability of risk occurrence and improve Aircraft operation is safe. [0004] SDR fault information has a large amount of data, a long span of time, and many abnormal situations. The calculation of traditional failure rate data cannot accurate...

Claims

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Application Information

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IPC IPC(8): G06K9/62B64F5/00
CPCB64F5/00G06F18/2415
Inventor 焦毓葳李传明许洪澎任海军张敏
Owner SHANDONG AIRLINES CO LTD
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