Abstract: In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.

Abstract: A system for managing mobility of an electrically-powered vehicle. The system includes a monitoring module comprising a plurality of sensors. Each of the plurality of sensors is configured to sense the status of at least one feature of each of the electrically-powered vehicle, an environment in which the electrically-powered vehicle is residing, and a state of health of a battery of the electrically-powered vehicle. A mobility analysis module estimates mobility of the electric-powered vehicle based on the sensed status, and a telematics module displays the sensed statuses, the estimated mobility, or both. The telematics module resides on a cloud-based server.

Abstract: In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.