Algorithm in matlab using bayesian classifier for health monitoring of an aircraft engine?

To implement a Bayesian classifier for health monitoring of an aircraft engine in MATLAB, first, gather and preprocess data such as engine parameters (temperature, pressure, vibrations). Use the fitcnb function to train a Naive Bayes classifier on this data, categorizing the engine's health states (e.g., normal, degraded, faulty). After training, evaluate the model's performance using cross-validation or a test dataset, and apply the classifier to new engine data for real-time health assessment. Utilize visualization tools like confusion matrices to interpret results and improve the model iteratively.