Affiliation:
1. KeepFlying®, Singapore 339510, Republic of Singapore
2. Amrita Vishwa Vidyapeetham, Coimbatore 641 112, India
Abstract
The performance degradation of an aircraft and its engine components takes place over time due to a combination of factors like foreign object damage (FoD), domestic object damage (DoD), impact of environmental conditions (corrosive, temperate, hot, and dry), atmospheric particulate matter, and gases like [Formula: see text] and [Formula: see text]. While natural wear and tear happens gradually depending on a wide variety of operational characteristics, FoD and DoD are incidents that occur randomly. To model this degradation process so as to predict or estimate the remaining useful life is to enable optimal build goal and work-scope determination, reducing repair costs and increasing part and system reliability. Determining the impact of various parameters on reliability will help optimize maintenance costs and visit plans over the course of an aircraft’s or engine’s life. A substantial number of models have been proposed to address the reliability prediction problem, but practically only a few are employed. In this paper, we provide a precise yet comprehensive study of these models, classifying them broadly based on their methodology. We focus on the methods, their limitations, production readiness, and the associated datasets in an effort to facilitate faster industrial adoption of the techniques that have remained exclusively as a part of academic initiatives.
Publisher
American Institute of Aeronautics and Astronautics (AIAA)