The goal of the paper is to provide a method to achieve prognostic health monitoring of the system using data analytics that includes model to identify the data set from a larger data set, define the prediction model to detect the health of system and identify the reasoning of the failure or failure prediction. This synopsis provide insight into identifying the parameters impacting the system failure using data analytics modelling based on the characteristic of a system and finalize the critical parameters for prognostic health monitoring based on the reasoning model. ![]() With the large amount of data collected in the avionics systems it is difficult finalize the list of the parameters that might be critical for data analytics and prognostic health monitoring. Real Time Monitoring: The operational status of the entire fleet of aircraft is known at all times, with instant updates when conditions change. To this end, fty recent review publications have been analysed. The aim of this analysis is to identify key clusters of research. Today data analytics are effectively used for predictive health management. vehicle health management (IVHM), Integrated System Health Management (ISHM) and prognostics and health management (PHM), have been collated and analysed using two natural language processing techniques. Hence critical system maintenance is ignored because of failure to identify the correct system component causing system health deterioration. Efficiently detecting whether an industrial component has deviated from its normal operating condition or predicting when a fault will occur are the main challenges these systems aim at addressing. However, the maintenance activities are performed in isolation based on the routine procedure and manual approach. Prognostic and Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution. The recording health status data provides useful information that will led to the root cause of a system failure. ![]() Aircraft system contains components to achieve system functionality, monitor its health and record the health status.
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