awabsyed1/Multisensor-Systems---Pattern-Classification--KNN-Algorithm-

Monitoring the health condition of the rotating machine via extracting features from sensor data/measurement and applying Principal Component Analysis, PCA. Applied K-Nearest Neighbor Algorithm for classifying five faults, Fault 1 - Bearing, Fault 2 - Gear Mesh, Fault 3 - Resonance, Fault 4 - Imbalance, Fault 5 - Misalignment. In addition to this, deisgned MMSE estimator to predict the actual measured data (without noise) of wind turbine blades and implemented CUSUM two-sided test to identifiy if the measured data exceeds the desired threshold and generate an alert. A report was generated highlighting important findings and critically evaluating the results.

语言：MATLAB · GitHub 星标：9 · Fork：1

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