Abstract: High-dimensional data streams are becoming increasingly ubiquitous in industrial systems. Efficient detection of system faults from these data can ensure the reliability and safety of the ...
Abstract: This letter evaluates the performance of a nonsupervised clustering method for identifying abrupt changepoints in streaming sensor data. The proposed method utilizes the Jenks natural breaks ...