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vibration

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We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.

  • Updated Jan 9, 2022
  • Python

This repository will simulate an IoT-based predictive maintenance system designed to monitor industrial equipment through sensors. It will include data ingestion, processing, and machine learning components to predict potential failures, optimizing maintenance schedules and reducing downtime.

  • Updated Nov 8, 2024
  • Python

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