K-- TIME-SERIES FAULT DETECTION FAULT CLASSIFICATION AND TRANSITION ANALYSIS USING A K-NEAREST-NEIGHBOR AND LOGISTIC REGRESSION APPROACH

摘要

Methods and systems for time series transient analysis of data are disclosed herein. The method includes receiving time series data; Generating a training data set comprising randomized data points; Using the set of randomized data points, within a time window, generating randomized data point combinations; Computing distance values based on the randomized data point combinations; Generating a classifier based on the plurality of computed distance values; And using the classifier, determining a probability that new time series data generated during a new execution of the process will match the time series data. A system for performing the method is also disclosed.