A New Aircraft Maintenance Approach Based on the Markov Chains

Abstract

In the past, traveling by plane was a luxury, today it is one of the most desired transport options in the world, being at the same time accessible and safe. In the contemporary aviation industry, for an airline to remain competitive, means to carry out as many aeronautical activities as possible without any incidents. Technical problems play a significant role in establishing the root causes underlying the efficiency of an aircraft. Considering the systems complexity involved, maintenance can be difficult without an aircraft health monitoring system over time. This study aims to provide a methodology for early identification of an aircraft failures, in order to provide specific predictive maintenance. Over the 12 months, two critical systems belonging to a transport aircraft were monitored and with the help of the Markov chains model, the probability of those systems to fail in the foreseeable future was calculated.