Abstract
This paper aims to discuss the importance and the necessity of reasoning applications in the field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM system is required to optimize Condition Based Maintenance (CBM), avoid unplanned maintenance activities and reduce the costs inflicted thereupon. This IVHM system should be able to utilize the information from multiple subsystems of the vehicle to assess the health of those subsystems, their effect on the other subsystems, and on the vehicle as a whole. Such a system can only be realized when the supporting technologies like sensor technology, control and systems engineering, communications technology and Artificial Intelligence (AI) are equally advanced. This paper focuses on the field of AI, especially reasoning technology and explores how it has helped the growth of IVHM in the past. The paper reviews various reasoning strategies, different reasoning systems, their architectures, components and finally their numerous applications. The paper discusses the shortcomings found in the IVHM field, particularly in the area of vehicle level health monitoring and how reasoning can be applied to address some of them. It also highlights the challenges faced when the reasoning system is developed to monitor the health at the vehicle level and how a few of these challenges can be mitigated.
Highlights
A study in 2018 by International Air Transport Association (IATA)'s Maintenance Cost Task Force documents that the aerospace industry spent $76 billion for Maintenance Repair and Overhaul (MRO) of commercial aircraft in the financial year 2017 and this is expected to go up to $118 billion by 2027 [1]
The trend of technologies used for the Spacecraft health monitoring systems, show a correlation with the trends in the technologies used in the field of Artificial Intelligence (AI), wherein, those AI techniques that are introduced and matured over a few years are implemented in the aerospace Integrated Vehicle Health Management (IVHM) field in the few years
Following contributions are made in this literature review on reasoning in aerospace IVHM and its potential
Summary
A study in 2018 by International Air Transport Association (IATA)'s Maintenance Cost Task Force documents that the aerospace industry spent $76 billion for Maintenance Repair and Overhaul (MRO) of commercial aircraft in the financial year 2017 and this is expected to go up to $118 billion by 2027 [1]. Owing to the increased autonomy and the resulting complexity in aircraft systems, industries are investing heavily in health management systems to improve their Condition-based Maintenance (CBM) programs. This would help in increasing the availability and dispatch reliability of the aircraft, reduce the MRO cost significantly, and avoid any unplanned downtime or accidents. This paper focuses on the growth and the challenges in aerospace IVHM with respect to the field of AI, the technology of reasoning
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