A Sensitivity Analysis Method Based on Civil Aviation Maintenance Quality Assessment and Heterogeneous Ensemble Learning

A technique of sensitivity analysis and quality assessment, applied in the field of sensitivity analysis, it can solve the problems of complex parameter setting and lack of guiding parameters for selection, and achieve the effect of reducing the cost of regulation and control.

Active Publication Date: 2021-10-01
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

The current semi-supervised regression mainly includes the difference-based method and the manifold-based method. The parameter setting of the latter is relatively complicated, and there is a lack of a method for guiding the selection of parameters. Therefore, a sensitivity analysis method based on semi-supervised heterogeneous ensemble learning is proposed.

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  • A Sensitivity Analysis Method Based on Civil Aviation Maintenance Quality Assessment and Heterogeneous Ensemble Learning
  • A Sensitivity Analysis Method Based on Civil Aviation Maintenance Quality Assessment and Heterogeneous Ensemble Learning
  • A Sensitivity Analysis Method Based on Civil Aviation Maintenance Quality Assessment and Heterogeneous Ensemble Learning

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Embodiment Construction

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

[0055] (1) Data processing:

[0056] (1) Significant variable selection: The quality index system of aviation maintenance reflects the intrinsic requirements of aviation maintenance management, providing a judgment standard for control and inspection and maintenance work, to facilitate the comprehension of maintenance engineering, qualitative or quantitative analysis, correct Guidance maintenance is implemented as planned. Indicators involving overall maintenance safety can be seen in Table 1. The number of visible variables is close to 20, and if all as input variables will seriously eliminate the training and return time of the training, and the sensitivity will also be difficult to calculate, we need to use Limited marked samples reduce input variables. First, multi-factor-based variance analysis method calculates the effect of variables, and then performs a significant t...

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Abstract

The invention discloses a sensitivity analysis method based on civil aviation maintenance quality evaluation and heterogeneous integrated learning, including the following steps: (1) data analysis and processing: maximization and minimization method, multi-factor one-way analysis of variance; (2) semi-supervised heterogeneous Constructive ensemble learning machine training and regression: semi-supervised ensemble learning, using a small number of unlabeled samples for initial training, and then inputting unlabeled samples, adjusting the initial basic learning machine with the result of heterogeneous integration as the expectation, until the error no longer becomes smaller; (3) Sensitivity analysis: Variance decomposition method, using the trained heterogeneous integration to expand the marked samples, and calculate the main effect index and full effect index of each input; (4) Example analysis: through the maintenance safety of an airline in recent years The analysis of the data, the sensitivity control of the months with low overall safety performance, and finally meet the safety standards.

Description

Technical field: [0001] The present invention relates to a sensitivity analysis method based on civil aviation maintenance quality assessment and heterogeneous integration, which belongs to airline maintenance fields, as well as the overall maintenance of safety performance regulation issues. Background technique: [0002] With the rapid development of my country's civil aviation industry and the continuous improvement of airlines and passengers, the importance of maintenance safety is self-evident. According to the accident survey data statistics in the past 20 years, the air accident caused by maintenance errors increased by 4 percentage points. [0003] Aircraft maintenance is one of the important guarantees of aircraft safe operation. Under the promotion of airworthiness management, my country's civil aviation maintenance field has been continuously developed on the basis of application system engineering, and the maintenance unit has gradually established engineering managem...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06N20/00G06Q10/00
CPCG06Q10/20
Inventor刘君强张振良左洪福张曦黄亮
OwnerNANJING UNIV OF AERONAUTICS & ASTRONAUTICS