Abstract: Systems, methods, and computer readable storage mediums for performing sensor health monitoring are described. The method includes receiving data characterizing measurement data values acquired by a sensor coupled to an industrial asset, identifying an anomalous data sample within the received data, removing the anomalous data sample to generate cleaned training data, training a model using the cleaned training data, generate a predicted asset data using the model, and determining an anomalous data in a new sample of asset data based on a difference between the new sample of the asset data to the predicted asset data.