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.

An assembly method comprising: providing a digital model of an aircraft airframe (200), the digital model comprising digital models of component parts (202, 204) of the airframe (200); providing the component parts (202, 204), each comprising one or more predrilled fastener holes; fixing a first component part (202a) to a support structure (1102); fixing a second component part (204a) to an end effector (1112) of a robot arm (1110); using the airframe digital model, controlling the robot arm (1110) to move the second component part (204a) relative to the first component (202a) as specified in the airframe digital model to cause one or more predrilled holes in the second component (204a) part to align with one or more predrilled holes in the first component part (202a); and attaching the second component part (204a) to the first component part (202a) using fasteners through the aligned predrilled holes.

A numerical controller decelerates a spindle feed rate in a bite portion to a bite velocity lower than a commanded feed rate when drilling is carried out and then, after passage through a velocity recovery point where a measured spindle load is made substantially constant, accelerates the spindle feed rate from the bite velocity to the commanded feed rate.

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.

A system, method and apparatus for data collection in an industrial environment are described. The system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors operatively coupled to at least one of a plurality of components of an industrial process, a data marketplace circuit structured to communicate at least one of the plurality of detection values to a data marketplace, and to obtain at least one external detection value, a data analysis circuit structured to determine a state value, an optimization circuit configured to provide a recommendation to adjust a parameter of the process in response to the state value, and an analysis response circuit structured to perform an action in response to the recommendation.

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of analog sensors to collect data, a data storage structured to store a plurality of data collection management plans comprising template data collection routines for collection of data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of analog sensors.

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.

Methods and systems for policy automation for a data collection system in an industrial environment are disclosed. A policy input interface may be structured to receive policy inputs relating to definition of at least one parameter of at least one of a rule, a policy, or a protocol, wherein the at least one parameter defines at least one of: a configuration for a data collection device, an access policy for accessing data from the data collection device, or a collection policy for collection of data by the data collection device, and a policy automation engine structured to interpret the policy inputs and automatically configure and deploy the at least one of the rule, the policy, or the protocol within the data collection system.