Abstract
Under the background of the big data era, the concept and technology of civil aircraft health management have been continuously innovated. This paper investigates the progress of health management technologies of mainstream manufacturers and airlines. Based on the analysis of operational data, this paper proposes a big data platform architecture for civil health management applications. Besides, the case of applying QAR data for prediction is introduced in the typical fault of air conditioning system, and the effectiveness of AR model in short-term trend prediction is verified.
Highlights
Since the introduction of aircraft health management concepts and technologies by leading international civil aircraft manufacturers in the 1990s, a real-time monitoring and health management system based on air-ground data communication system has been established to monitor aircraft in real time after more than 20 years of development
The core of it is predictive analysis, in which big data technology and health management based on artificial intelligence and cloud computing will play an important role
In order to better explore the value of data and create endless possibilities, it is necessary to build a big data platform for civil health management applications
Summary
Since the introduction of aircraft health management concepts and technologies by leading international civil aircraft manufacturers in the 1990s, a real-time monitoring and health management system based on air-ground data communication system has been established to monitor aircraft in real time after more than 20 years of development. In the era of big data, more and more data collection and analysis tools will be added to the airline operation management in the field of aviation maintenance, providing technical support for maintenance and support personnel to determine the cause of failure and maintenance measures in a timely manner, and to arrange maintenance time reasonably This enables predictive maintenance, increases aircraft dispatch rates, and reduces maintenance costs. Chinese domestic airlines are actively exploring aircraft big data applications, such as Air China, China Southern Airlines, China Eastern Airlines, and Hainan Airlines They have independently developed relevant systems for real-time monitoring and health management of aircraft, optimizing fleet maintenance and engineering management [4]. Application architecture of big data technology in typical airborne system health management
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