We have a manufacturing production line with sensors collecting material weights at different locations along the line. The data structure looks like something below: enter image description here

We have noticed instances that some sensors do not capture data accurately and we hope to build a model to identify these sensors. Some of the potential model that we are considering but not sure how to implement are:

  1. Bayesian Model
  2. Time series model (e.g. ARIMA)

Any suggestions on model selection and implementation are highly appreciated.


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