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AIDS/AIMLIndustrial AI / Time SeriesIEEE Final Year Projects
Predictive Maintenance for Rotating Equipment
Vibration FFT spectral analysis and Remaining Useful Life (RUL) estimation using 1D-CNN and Random Forest models.
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Project Technical Overview
Processes tri-axial accelerometer data from motors, pumps, and gearboxes. Computes time/frequency domain features (kurtosis, skewness, peak frequency) to predict bearing degradation before catastrophic breakdown.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
Verified Included Components1 components linked
NodeMCU (ESP8266)
Qty: 1