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 corresponding to the selected one of the plurality of data collection templates; or selecting a different one of the plurality of data collection templates.

Systems and methods for data collection in an industrial production line are disclosed. A systems may include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and a data acquisition and analysis circuit for receiving the collected data and analyzing the received collected data using a neural network to determine an occurrence of an anomalous condition of at least one component.

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.

Systems and method for data collection in an industrial environment can include interpreting a plurality of sensor data values, each sensor operatively coupled to at least one of a plurality of components in the industrial environmental. In response to at least a portion of the plurality of sensor data values, determining a recognized pattern value and providing a system characterization value for the industrial system in response to the recognized pattern value.

System and methods for data collection, processing, and utilization of signals 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, a peak detection circuit to determine at least one peak value in response to the plurality of detection values, a peak response circuit to select at least one detection value in response to the at least one peak value, a communication circuit to communicate the at least one selected detection value to a remote server, and a monitoring application on the remote server to receive the at least one selected detection value, jointly analyze received detection values and recommend an action in response are disclosed herein.

Systems and methods for self-organizing data collection based on a production environment parameter are disclosed. An example monitoring system for data collection in a production environment may include a data collector coupled to a plurality of input channels coupled to a plurality of sensors co-located on a component of the production environment and to a network infrastructure; a data storage to store collected data; a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of the input channels; an expert system to self-organize data collection, wherein the self-organizing is based on a production parameter of the production environment; and wherein the data collector is responsive to the self-organizing to change a collection of the data.

A real-time control system includes a fault detection training technique to implement a data-driven fault detection function that provides an operator with information that enables a higher level of situational awareness of the current and likely future operating conditions of the process plant. The fault detection training technique enables an operator to recognize when a process plant component is behaving abnormally to potentially take action, in a current time step, to alleviate the underlying cause of the problem, thus reducing the likelihood of or preventing a stall of the process control system or a failure of the process plant component.

Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. An expert system analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit provides an alarm condition in response to the vibration component having the recognized vibration pattern.

Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.