METHODS FOR MONITORING THE TECHNICAL CONDITION OF AIRCRAFT ELECTRONIC SYSTEMS

Authors

  • A.O. Plugoviy Kyiv Aviation Institute National University, Kyiv, Ukraine

DOI:

https://doi.org/10.31673/2786-8362.2026.016272

Abstract

The
article considers methods for monitoring the technical condition of aircraft electronic systems, taking into
account modern requirements for maintaining airworthiness, the development of information technologies,
and the specific features of operating an aging aircraft fleet. It is shown that monitoring the technical
condition of electronic systems cannot be limited to a single check of individual units, since under longterm operation a significant part of failures may have a hidden, intermittent, or gradual nature. The necessity
of combining functional, parameter-based, built-in, and predictive monitoring with the processing of
operational data received from onboard maintenance systems, BITE/BIT tools, sensors, and ground-based
information platforms is substantiated. Special attention is paid to the role of the Internet of Things and
other information technologies in expanding monitoring capabilities not only for electronic systems, but
also for the wider aircraft technical operation system. The problem of non-stationarity of diagnostic
parameters and the occurrence of the change-point effect, in which the statistical properties of the observed
process change, is considered. It is proposed to take this effect into account when processing data in a
moving window, detecting a change in the operating mode, refining parameter trends, and forming
maintenance decisions. The practical significance of the work lies in the possibility of using the obtained
results to improve diagnostic reliability, reduce unjustified replacement of electronic units, decrease
operating costs, and maintain aircraft airworthiness, especially under conditions of operating an aging
aircraft fleet.
Keywords: aircraft electronic systems, avionics, technical condition monitoring, Internet of Things,
aging aircraft fleet, change point, diagnostic data, predictive maintenance, airworthiness

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Published

2026-05-25

Issue

Section

Articles