Abstract: This disclosure relates generally to health management, and more particularly to a method and system for artificial intelligence based diagnostic and prognostic health management of host systems. In an embodiment, the system includes a memory to store instructions, and a neural network controller coupled to the memory. The neural network controller is configured by the instructions to monitor a plurality of unique patterns generated in real-time. The plurality of system parameters is indicative of a system-level performance of the host system. The neural network controller is configured by the instructions to compare the plurality of unique patterns with a plurality of predetermined patterns corresponding to the plurality of system parameters to detect potential anomalies in the host system and one or more subsystems of the plurality of subsystems, where the one or more subsystems are responsible for contributing to the potential anomalies in the host system.

Abstract: This disclosure relates generally to health management, and more particularly to a method and system for artificial intelligence based diagnostic and prognostic health management of host systems. In an embodiment, the system includes a memory to store instructions, and a neural network controller coupled to the memory. The neural network controller is configured by the instructions to monitor a plurality of unique patterns generated in real-time. The plurality of system parameters is indicative of a system-level performance of the host system. The neural network controller is configured by the instructions to compare the plurality of unique patterns with a plurality of predetermined patterns corresponding to the plurality of system parameters to detect potential anomalies in the host system and one or more subsystems of the plurality of subsystems, where the one or more subsystems are responsible for contributing to the potential anomalies in the host system.