DEVICE FOR DETECTING A FASTENING ANOMALARY AND VEHICLE

Abstract

A fastening anomaly detection device includes a storage device that stores a trained model. The trained model was trained by machine learning to output information indicating whether loosening has occurred in a fastening structure when it receives predetermined input information. The input information consists of waveform data representing the current flowing through the fastening structure. The fastening anomaly detection device is configured to acquire the waveform data using a current sensor, input the acquired waveform data into the trained model, and determine, based on the output information from the trained model, whether loosening has occurred in the fastening structure.

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