Scientific and Methodological Approaches for the Creation of Complex Diagnostic and Prognostics Systems of the Technical Condition of Units, Functional Systems and Power Structures of Helicopters

Author:

Belskiy Alexander,Dergachev Anton,Esipovich Olga

Abstract

This article discusses the approaches and requirements for creating a comprehensive system of diagnostics and prognostics of the technical condition (CSDP TC) of the helicopter units and prerequisites for its further integration into the after-sales service system. The systems of monitoring and diagnostics of the technical condition of aircraft (HUMS) being used on helicopters, allow the determining of the operation parameters of the power plant and transmission units within the framework of the flight, as well as during operational maintenance. First of all, the HUMS systems were created for the purpose of servicing the helicopter units according to their technical condition (servicing «on condition»), but it is not possible to determine the residual resources of the units using these systems. The proposed system for predicting the technical condition of aggregates and functional systems permits the use of recorded helicopter flight parameters and parameters recorded by the HUMS system, and allows you to analyse the causes of defects and predict the residual life of aggregates, taking into account the dynamics of the development of defects before reaching the pre-failure state. Aggregation of the received information about the state of the units into the analytical - information system will optimize the material and technical support of operating organizations and provide developers of aviation equipment with information about the results of operation and use it as input data to improve the characteristics of the helicopter and its aggregates and the gradual transition to the creation of integrated systems of the CSDP TC.

Publisher

EDP Sciences

Subject

General Medicine

Reference5 articles.

1. Health and Usage Monitoring Systems Toolkit. US JHSIT https://skybrary.aero/sites/default/files/bookshelf/4682.pdf

2. Ye Z., Research on Flight Data Processing Method Applied to Parameters Identification of Aircraft Model, DOI: 10.19452/j.issn1007-5453.2022.08.010

3. Fernandes A. et al. Conference: AIAA SCITECH 2023 Forum Prediction of Critical Aircraft Performance Model Parameters from Historical Flight Data DOI: 10.2514/6.2023-2532

4. Siegel D. et al. A particle filtering approach to remaining useful life prediction of aircraft engines https://www.researchgate.net/publication/287077773\

5. Li Wenqiang, Hou Ning, Aircraft Failure Rate Prediction Method Based on CEEMD and Combined Model DOI: 10.1155/2022/8455629

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