Aerospace Predictive Maintenance using Machine Learning Technology

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Working Of The Project On A Test Case

Used 9 Categorical Model

1. Logistic Regression
2. K Neighbors
3. AdaBoost
4. Neural Network
5. SVM
6. Decision Tree
7. QuadraticDiscriminantAnalysis
8. RandomForest
9. Naive Bayse

Accuracy Of Models

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Logistic Regression ,K Neighbors and AdaBoost have the highest accuracy.
Logistic Regression was used For the prediction RUL (Binary 1: Okay & 0:Not Okay ).

Calculated The Mean Squared Error On 10 Diffrent Regression Model

1. SVM
2. Neural Network
3. RandomForest
4. Huber
5. BayesianRidge
6. Ridge
7. Linear
8. Lasso
9. Bagging
10. AdaBoost

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SVM has the lowset MSE.
SVR was used For the rediction RUL.