Abstract: A system and Method of monitoring an industrial environment are provided. The method includes classifying datapoints of an industrial dataset associated with the industrial environment into one or more classes using a trained model, wherein the trained model is generated using training dataset, wherein the classes are associated with at least one of a physical quality identifier, one of a location identifier and a device identifier associated with generation of the datapoints, and a unit identifier of the datapoints; augmenting the industrial dataset, based on the classification, to include at least one of the physical quality identifier, the location identifier, the device identifier, and the unit identifier along with an associated confidence metric; and monitoring at least one asset or at least one process in the industrial environment using the augmented industrial dataset.

Abstract: A system and method include a non-linear dynamic sensor, such as a magnetic field sensor, having an oscillator with a dynamic response that passes through a critical point beyond which the oscillator responds in an oscillatory regime. A processor operatively connected to the non-linear dynamic sensor is configured to, based upon an input signal x received by the non-linear dynamic sensor, adaptively self-tune the non-linear dynamic sensor to a dynamic range within the oscillatory regime adjacent to the critical point such that the input signal x spans the entire dynamic range. An array of such sensors includes a global feedback capability to mitigate coupling losses.

Abstract: The dynamics of a nonlinear sensor are configured to mimic threshold crossing dynamics of an integrate-fire neuron with negatively correlated inter-spike intervals. The configuration of the sensor results in a biomimetic sensor that provides results with an accuracy that mimic neuron sensing.

Abstract: A nonlinear dynamic system comprising: a number N of nonlinear components, wherein each nonlinear component experiences intrinsic oscillation when a coupling parameter ? is tuned past a threshold value, and wherein the nonlinear components are unidirectionally coupled together in a ring configuration; and a signal generator configured to generate N coherent locking signals; wherein each locking signal is phase shifted by 2?/N with respect to the other locking signals; and wherein the signal generator is coupled to the nonlinear components such that each locking signal locks a frequency of the intrinsic oscillation of one of the nonlinear components to a frequency of the locking signal.