Dimensionalmechanics, Inc.

Jason K Ellis

Rajeev Dutt

A system and associated methods for the detection of anomalous behavior in a system. In some embodiments, time-series data that is obtained from the system (such as log data) may be used as an input to a process that converts the data into greyscale values. The greyscale values are used to construct an 'image' of the system operation that is used as an input to a convolutional neural network (CNN). The image is used to train the neural network so that the neural network is able to recognize when other input 'images' constructed from time-series data are anomalous or otherwise indicative of a difference between the prior (and presumed normal or acceptable) and the current operation of the system.

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Bellevue, WA, United States of America

Jason K Ellis