Abstract: Methods and systems for noise detection and removal in a motor are disclosed. An example system for monitoring a plurality of components of a motor in an industrial environment may include a data acquisition circuit to interpret a plurality of detection values, each detection value corresponding to a plurality of input sensors operationally coupled to the motor; a data processing circuit to utilize at least one of the detection values to perform at least one noise processing operation on at least a portion of the detection values; a signal evaluation circuit to determine a motor performance parameter in response to the noise processed portion of the of detection values; and a response circuit structured to perform at least one operation in response to the motor performance parameter.

Abstract: Systems and methods for monitoring a vehicle steering system are disclosed. An example monitoring system for a vehicle steering system may include a vehicle steering system comprising a rack, a pinion, and a steering column; a data acquisition circuit structured to interpret a plurality of detection values corresponding input sensors operationally coupled to the rack, the pinion, or the steering column; a data storage circuit structured to store specifications, and to buffer the plurality of detection values for a predetermined length of time. The example system may further include a timer circuit structured to generate a timing signal based on a first detected value of the plurality of detection values; a steering system analysis circuit to determine a steering system performance parameter in response to a relative phase difference and a response circuit structured to perform at least one operation in response to the steering system performance parameter.

Abstract: Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.

Abstract: A system for changing a sensed parameter group for oil and gas production equipment includes a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a component comprising equipment for an oil and gas production environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Abstract: Systems and methods for balancing remote oil and gas equipment are disclosed. An example system may include analog sensors coupled to a piece of equipment and an analog switch with a plurality of analog sensor channels, wherein a first analog sensor channel comprises a trigger channel coupled to a first of the analog sensors, and wherein a second one of the analog sensor channels comprises an input channel coupled to a second sensors. The analog switch may digitally derive a relative phase between the trigger channel and the input channel, utilize a PLL band-pass tracking filter to determine at least one of slow-speed RPMs or phase information for the piece of equipment, and a response circuit that provides a process change command to remotely balance at least one component of the piece of equipment based on the RPMs or the phase information.

Abstract: Methods and systems for detection in an industrial internet of things data collection environment with intelligent data collection and equipment package adjustment for a production line are disclosed. An example system includes a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one piece of equipment of an equipment package of the production environment and a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels. A data analysis circuit utilizes an expert system diagnostic tool to identify an off-nominal process state in response to the plurality of detection values and a response circuit adjusts an equipment package parameter in response to the off-nominal process state.

Abstract: Systems and methods for data collection and frequency evaluation for a vehicle steering system are disclosed. An example monitoring system for data collection in a vehicle steering system may include a vehicle steering system comprising a rack, a pinion, and a steering column; a data acquisition circuit to interpret a plurality of detection values corresponding to a plurality of input sensors, each input sensors operationally coupled to the vehicle; and a data storage circuit to store one or more operating frequencies of the vehicle. The example system may further include a frequency evaluation circuit to detect an operating signal, wherein the operating signal comprises a frequency higher than the one or more operating frequencies; and a response circuit structured to perform at least one operation in response to the detected operating signal.

Abstract: An industrial machine predictive maintenance system may include an industrial machine data analysis facility that generates streams of industrial machine health monitoring data by applying machine learning to data representative of conditions of portions of industrial machines received via a data collection network. The system may include an industrial machine predictive maintenance facility that produces industrial machine service recommendations responsive to the health monitoring data by applying machine fault detection and classification algorithms thereto. A computerized maintenance management system (CMMS) that produces orders and/or requests for service and parts responsive to the industrial machine service recommendations can be included.

Abstract: Methods and systems for a data marketplace in a conveyor environment includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding conveyor in an industrial environment, wherein the at least one data collector is structured to collect detection values from at least one sensor of a power roller of the at least one corresponding conveyor; a data storage structured to store a data pool comprising at least a portion of the detection values; a data marketplace structured to self-organize the data pool; and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to a user in response to the user data request.

Abstract: Systems and methods for changing a sensed parameter group include a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a one of a mixer or an agitator, wherein the one of the mixer or the agitator comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Abstract: Methods and systems for detection in an industrial Internet of Things (IoT) data collection environment with intelligent data collection and equipment package adjustment for oil and gas equipment are disclosed. An example monitoring system for data collection in an oil and gas production environment can include a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one piece of equipment of an equipment package of the oil and gas production environment. The system further includes a data acquisition circuit to interpret detection values from the plurality of input channels and a data analysis circuit to utilize an expert system diagnostic tool to identify an off-nominal process state based on the detection values. The system may further include a response circuit to adjust an equipment package parameter in response to the off-nominal process state.

Abstract: Monitoring systems for data collection in a vehicle steering system include a vehicle steering system comprising a rack, a pinion, and a steering column; a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors, each of the plurality of input sensors operationally coupled to the rack, the pinion, or the steering column, and communicatively coupled to the data acquisition circuit; a signal evaluation circuit comprising: a timer circuit structured to generate at least one timing signal; and a phase detection circuit structured to determine a relative phase difference between at least one of the plurality of detection values and the at least one timing signal from the timer circuit; and a response circuit structured to perform at least one operation in response to the relative phase difference.

Abstract: Methods and systems for detection in an industrial Internet of Things data collection and production environment using a distributed ledger are disclosed. An example monitoring system for data collection in a production environment may include a data collector communicatively coupled to a plurality of input channels, each input channel operatively coupled to at least one piece of equipment of the production environment. The system may further include a distributed ledger to store the detection values and a data acquisition circuit to interpret at least a portion of the detection values. The system may further include a data analysis circuit to identify a status corresponding to the production environment in response to the portion of the detection values and a response circuit to adjust a parameter of the production environment in response to the status.

Abstract: An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector structured to collect high data rate data, wherein the data collector is communicatively coupled to a plurality of input channels, each of the plurality of input channels connected to a corresponding one of a plurality of high data rate sources. A plurality of distributed data acquisition circuits are structured to interpret a plurality of detection values from the high data rate data collected from the plurality of input channels, each of the plurality of detection values corresponding to at least one of the plurality of input channels. A controller is configured to distribute a data processing operation of the plurality of detection values between at least two processing components of the industrial environment.

Abstract: Methods and systems for monitoring a plurality of components of a pump in an industrial environment include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed plurality portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter.

Abstract: A monitoring system for data collection related to a production line of an industrial environment includes a data storage structured to store a plurality of data collection templates, each of the plurality of data collection templates comprising a data collection routine; a data collector structured to interpret a plurality of detection values that correspond to a plurality of input channels, wherein the plurality of detection values are obtained according to a data collection routine corresponding to a selected one of the plurality of data collection templates; wherein the data storage is further structured to store at least a portion of the plurality of detection values; a data analysis circuit structured to interpret at least a subset of the detection values to determine a state value corresponding to one of a process or a component of the production line; and an expert system circuit structured to perform a data collection modification by performing one of: adjusting the data collection routine correspond

Abstract: Methods and distributed ledger systems for detection in an industrial Internet of Things data collection environment for a tank are disclosed. An example monitoring system may include a data collector communicatively coupled to a plurality of input channels, each of the plurality of input channels operatively coupled to at least one component of the tank, and a distributed ledger to store detection values collected from the input channels. The system may further include a data acquisition circuit communicatively coupled to the distributed ledger, and structured to interpret at least a portion of the plurality of detection values, and a data analysis circuit to identify a status corresponding to the tank in response to a portion of the detection values and a response circuit to adjust a parameter of the tank in response to the status.

Abstract: A system for changing a sensed parameter group for a pump or fan includes a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a one of a pump or a fan, wherein the one of the pump or the fan comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Abstract: Methods and systems for detection in an industrial internet of things data collection environment with a distributed ledger for long blocks of high res data are disclosed. An example monitoring system for data collection in an industrial environment may include a data collector to collect high data rate data, wherein the data collector is communicatively coupled to a plurality of input channels connected high data rate sources; and a distributed ledger to store high data rate data, wherein the data collector is configured to distribute high data rate data from the plurality of input channels to the distributed ledger based on at least one of: a network condition; an intelligent, remote management of a distribution of the high data rate data; or a self-organization of the data collector.

Abstract: Methods and systems for process monitoring through data collection in a pharmaceutical production process include a data collector communicatively coupled to a plurality of input channels, each input channel connected to a monitoring point from which data is collected, the collected data providing a plurality of process parameter values for the pharmaceutical production process; a data storage structured to store collected data from the plurality of input channels; a data acquisition circuit structured to interpret the plurality of process parameter values from the collected data; a data analysis circuit structured to analyze the plurality of process parameter values to detect a process condition associated with the pharmaceutical production process; and a response circuit structured to adjust an operational process for the pharmaceutical production process in response to the detected process condition.