Abstract: A system for monitoring a machine includes a memory device operatively coupled with a processor. The memory device stores a plurality of operational measurements of the machine and is programmed with computer instructions that instruct the processor to record a first plurality of operational measurements of the machine, perform a full spectrum analysis thereof, and generate a first full spectrum data set therefrom. The instructions also instruct the processor to transmit the first full spectrum data set to a model stored within the memory device. The instructions further instruct the processor to determine variations between the first full spectrum data set and a second full spectrum data set. The second full spectrum data set is different from the first full spectrum data set.

Abstract: Systems and methods may be provided for generating a prediction using neural networks. The system and methods may include training a plurality of neural networks with training data, calculating an output value for each of the plurality of neural networks based at least in part on input evaluation points, applying a weight to each output value based at least in part on a confidence value for each of the plurality of neural networks; and generating an output result.

Abstract: An apparatus and method for receiving operational data and displaying summaries of processes for an industrial system includes a block object to define blocks for defining aspects of variables related to the operational data as well as a display client for using the blocks to provide useful and concise summaries of the processes.