Systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector to collect data from a subset of a plurality of input channels based on a selected data collection routine, and a data acquisition and analysis circuit for receiving the collected data and analyzing the collected data using an expert system analysis circuit to determine an occurrence of an anomalous condition for a machine component based on an analysis. The expert system analysis circuit may utilize a neural network. The data analysis circuit may determine an aggregate rate of data being collected and, if the aggregate rate exceeds a current bandwidth allocation rate associated with the network infrastructure, request an increase to the current bandwidth allocation rate from the network infrastructure.

An apparatus, methods and systems for collecting data related to an industrial process are disclosed. The system can include a data storage structured to store a plurality of data collection routines, each of the plurality of data collection routines comprising a data collection band, a data collector structured to interpret a plurality of detection values that correspond to a plurality of input channels, 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 industrial process, and an expert system circuit structured to adjust at least one of the plurality of data collection routines in response to the state value.

A self-organizing data marketplace includes a plurality of data collectors and a corresponding plurality of industrial environments, wherein each of the plurality of data collectors is structured to collect detection values from at least one sensor of the corresponding industrial environment, 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 the user in response to the user data request.

Systems and methods of a data collection system including a data marketplace in an industrial environment are disclosed. An input interface, in communication with at least one of a data pool and a data stream, may be structured to receive data inputs from or about one or more of a plurality of industrial machines, broker, and execute a data transaction among at least two marketplace participants including setting a price and a marketplace value rating for at least one a plurality of data inputs.

Systems, methods and apparatus for data monitoring are disclosed. A system may 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 communicatively coupled to the data acquisition circuit, a data storage circuit structured to store specifications and anticipated state information for a plurality of bearing types, a bearing analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a bearing performance parameter, and a response circuit structured to initiate an action in response to the bearing performance parameter.

System for data collection and monitoring in an industrial environment are disclosed. A data acquisition circuit may interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors. A data storage circuit may store sensor specifications, anticipated state information and detected values for use by a signal evaluation to determine a sensor overload status, a sensor fault status or a sensor validity value of at least one sensor in response to the plurality of detection values and at least one of an anticipated state information or a sensor specification. A response circuit may perform an operation in response to one of a sensor overload status, a sensor health status, or a sensor validity status.

Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

Systems and methods for monitoring data collection in an industrial environment are disclosed. A data acquisition circuit structured to interpret a plurality of detection values from a plurality of input sensors communicatively coupled to the data acquisition circuit, each of the plurality of detection values corresponding to at least one of the plurality of input sensors, a peak detection circuit structured to determine at least one peak value in response to the plurality of detection values and a peak response circuit structured to perform at least one operation in response to the at least one peak value are disclosed.

Systems, methods and apparatus for data collection in an industrial environment are disclosed. A system according to one embodiment can include a plurality of input sensors operatively coupled to a production line, the plurality of sensors communicatively coupled to a data collector having a controller, the controller including: a data collection band circuit structured to determine at least one collection parameter for at least one of the plurality of sensors from which to process output data, a machine learning data analysis circuit structured to receive output data from the at least one of the plurality of sensors and learn output data patterns indicative of a state of the production line, and a response circuit structured to adjust an operating parameter of a component of the production line based on one of a mismatch or a match of the output data pattern and the state of the production line.

Systems and methods of data collection and processing including a plurality of variable groups of industrial sensor inputs, each of the plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer including a plurality of sensor channels, wherein each of the plurality of sensor channels is communicatively coupled to at least one of the plurality of variable groups of sensor inputs and including an expert system or a graphical user interface (GUI) to define at least one of intelligent data collection bands or diagnostics for the industrial environment.