Abstract: A method for monitoring valve health. The method may include receiving valve data from a source, pre-processing the received valve data, and detecting at least one event based on the pre-processed valve data to provide event signature data. The method may also include determining that the detected event is an anomaly based on the event signature data, classifying the anomaly based on the event signature data, and performing an action based on the classified anomaly. The method may also include training an event classification model to classify the anomaly according to the event signature data. Training the event classification model to classify the anomaly may include reviewing and labeling a plurality of plots of the event signature data by a subject matter expert and then providing the labeled event signature data to the event classification model, and validating the classification model by the subject matter expert.