Idemi-iam_2018.zip May 2026

to detect anomalies in rotating equipment. 📂 Contents of the ZIP File

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Data indicating "Healthy" vs. "Faulty" states for supervised learning. 🚀 How to Use the Data 1. Data Extraction Unzip the folder using standard tools (WinRAR, 7-Zip). Idemi-iam_2018.zip

Convert time-domain data to the frequency domain to identify specific mechanical faults (like bearing wear). 3. Model Training Split the data into Training and Testing sets. to detect anomalies in rotating equipment