A Simplified Framework for Fault Prediction in Radar Transmitter based on Vector Autoregression Model

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Published Sep 4, 2023
Sheriff Murtala Soojung Hur Yongwan Park

Abstract

The prediction of faults in radar subsystems remains a challenge. It is common practice to use multiple sensors to monitor the performance of electronic components in radar. The complexity of processing the measurements increases with the number of monitored quantities. In this paper, we presented a simple method to predict the fault degradation of radar transmitter. Using historical data of monitored quantities leading to two different faults, the vector autoregression model is applied to predict future values of monitored quantities resulting in fault degradation in marine radar. The results showed that the proposed method can be useful for cases where failure in subsystem needs to be promptly detected and corrected to avoid overall system failure. We also demonstrated the performance of the proposed method on interpolated data generated from radar transmitter fault data.

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Keywords

radar transmitter, fault prediction, piecewise cubic hermite interpolating polynomial, vector autoregression model

References
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Section
Regular Session Papers