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Abstract Every industry has utilized machines of various types for many functions. The manufacturing industry has utilized machines since the industrial revolution for mass manufacturing. Operating machines continuously can lead to faults and require maintenance and repairs. As computing power increased and various technologies such as embedded systems, artificial intelligence, deep learning, cloud computing etc. were developed, new systems were implemented to perform diagnostics on machines. In this paper, A conceptual system architecture of a cloud based AI system to predict potential failure of a component by analyzing data collected from various sources and develop inspection and maintenance schedules is proposed. The application of technologies such as Artificial Intelligence, Cloud computing and process mining in the system is discussed in detail. The operation of the system in a real world condition is discussed by developing a system architecture for maintenance and failure prediction of aircraft fan blades of an aircraft engine. The future application of the system with potential increase in capability is discussed.
Karthik et al. (Fri,) studied this question.