Update , like i finshed anlayzing the sensors . I plotted multiple sensors on graph and like for point i can observe pattern in the graph for changes like high spike in anomaly zone , but for contextual there was no similarity or pattern . even for point the spikes are not similar for every sensors . Some magintude and std is more compare to other . So i conclude that we cant make an rule based system for this dataset . I have to move towards implementing ml . So i used linear regression model first to train on first 10 input and than predict the 11th ouput , as i am doing time series analysis because my dataset is continuous data , so i have kept my window size 10 . so i am currently analyzing how many errors lie in our anoamly zone . If linear regression model didnt perfectly work i will try differnet model like random forest and if they also didnt work i have to move towards lstm .