Abstract: In an embodiment, a data processing method comprises storing one or more generic machine operating definitions, wherein each of the generic machine operating definitions describes expected operational behavior of one or more types of machines during one or more operating states; analyzing operating data that describes past operation of a plurality of machines of a plurality of types; based at least in part on the operating data and the one or more generic machine operating definitions, generating and storing one or more machine operating models that describe expected operational behavior corresponding to a plurality of operating states of the plurality of machines; wherein the one or more machine operating models comprise a plurality of data patterns, wherein each of the data patterns is associated with a different set of one or more operating states of one or more machines; wherein the method is performed by one or more computing devices.

Abstract: A computer-implemented method of obtaining a label for graphically presented operating behavior is disclosed.

Abstract: In an embodiment, a data processing method comprises storing one or more generic machine operating definitions, wherein each of the generic machine operating definitions describes expected operational behavior of one or more types of machines during one or more operating states; analyzing operating data that describes past operation of a plurality of machines of a plurality of types; based at least in part on the operating data and the one or more generic machine operating definitions, generating and storing one or more machine operating models that describe expected operational behavior corresponding to a plurality of operating states of the plurality of machines; wherein the one or more machine operating models comprise a plurality of data patterns, wherein each of the data patterns is associated with a different set of one or more operating states of one or more machines; wherein the method is performed by one or more computing devices.

Abstract: In an embodiment, a data processing method comprises storing one or more generic machine operating definitions, wherein each of the generic machine operating definitions describes expected operational behavior of one or more types of machines during one or more operating states; analyzing operating data that describes past operation of a plurality of machines of a plurality of types; based at least in part on the operating data and the one or more generic machine operating definitions, generating and storing one or more machine operating models that describe expected operational behavior corresponding to a plurality of operating states of the plurality of machines; wherein the one or more machine operating models comprise a plurality of data patterns, wherein each of the data patterns is associated with a different set of one or more operating states of one or more machines; wherein the method is performed by one or more computing devices.

Abstract: A computer-implemented method of obtaining a label for graphically presented operating behavior is disclosed.

Abstract: A method and apparatus for generating, causing display of, sending, or otherwise providing one or more interfaces for monitoring machines, classifying operating behavior of the machines, and/or predicting operational behavior of the machines. The interfaces may include a graphical user interface that that shows graphical elements changing in appearance over time according to a sequence of stored values that represent measurements. An interface manager may receive, via the graphical user interface, input comprising a label, and, based at least in part on the input, store the label in association with the displayed sequence or in association with a set or cluster of sequences that includes the displayed sequence.

Abstract: Techniques are described for condition monitoring and prediction. According to embodiments described herein one or more computing devices receive a set of sensor data from a set of sensors. The sensor data identifies a condition associated with at least one mobile item moving through a particular geographic region and route that correspond to at least one cell in a transportation network representation. The one or more computing devices determine, from the sensor data, a correlation between the condition associated with the at least one mobile item and a set of one or more other conditions that are associated with the at least one cell in the route. The one or more computing device generate, based, at least in part, on the correlation, a prediction of a quality of service for the particular item that is associated with the route including the particular geographic region and corresponding to at least one cell in the transportation network representation.

Abstract: A method and apparatus for generating, causing display of, sending, or otherwise providing one or more interfaces for monitoring machines, classifying operating behavior of the machines, and/or predicting operational behavior of the machines. The interfaces may include a graphical user interface that that shows graphical elements changing in appearance over time according to a sequence of stored values that represent measurements. An interface manager may receive, via the graphical user interface, input comprising a label, and, based at least in part on the input, store the label in association with the displayed sequence or in association with a set or cluster of sequences that includes the displayed sequence.

Abstract: In an embodiment, a data processing method comprises storing one or more generic machine operating definitions, wherein each of the generic machine operating definitions describes expected operational behavior of one or more types of machines during one or more operating states; analyzing operating data that describes past operation of a plurality of machines of a plurality of types; based at least in part on the operating data and the one or more generic machine operating definitions, generating and storing one or more machine operating models that describe expected operational behavior corresponding to a plurality of operating states of the plurality of machines; wherein the one or more machine operating models comprise a plurality of data patterns, wherein each of the data patterns is associated with a different set of one or more operating states of one or more machines; wherein the method is performed by one or more computing devices.

Abstract: A distributed coordination and control protocol may enable a set of mobile, self-organizing, robotic relay nodes to adaptively seek positions in such an environment that establishes a network, meeting desired coverage in terms of connected warfighters. Distributed coordination of robotic relay nodes may allow the network to dynamically adapt as positions of warfighters change and/or the network demands change. An algorithm is provided that may be scalable to a large number of robots and may be robust to random deployment of robots, robot platform failures, channel dynamics, and changing warfighter positions.