Abstract: Methods and systems for data collection in a chemical or pharmaceutical production process with haptic feedback and control of data communication are disclosed. A system can include a data collector to collect data from plurality of input channels based on a selected data collection routine, a data storage to store a plurality of collector routes and collected data, wherein the plurality of collector routes each includes a different data collection routine, a data acquisition circuit to interpret the collected data and determine an occurrence of an anomalous condition, a data analysis circuit to analyze the collected data by evaluating a data communication constraint of the monitoring system and adjusting a volume of collected data communicated between the input channels and the data storage, and a haptic user device for generating a haptic stimulation in response to an occurrence of a specified anomalous condition.

Abstract: 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. A data 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 adjusts a process of the environment in response to the vibration component having the recognized vibration pattern.

Abstract: 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.

Abstract: An apparatus, methods and systems for a monitoring system for data collection in a vehicle are disclosed. The system can 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, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of the vehicle, a data analysis circuit structured to determine a state value, wherein the data analysis circuit includes a pattern recognition circuit structured to determine the state value by analyzing a subset of the plurality of detection values and at least one external detection value using at least one of a neural net or an expert system, and an analysis response circuit structured to adjust a parameter of the vehicle in response to the state value.

Abstract: Systems and methods for data collection and detection of motor noise patterns are disclosed. A system may include a data collector communicatively coupled to at least one input channel, wherein the at least one input channel is operatively coupled to a vibration detection facility structured to detect a motor noise pattern of a motor, a library to store the detected motor noise pattern, an interface circuit structured to make the detected motor noise pattern available to a motor noise pattern data marketplace including a plurality of motor noise patterns from a plurality of motors, and a user interface for accessing at least one of the plurality of motor noise patterns of the motor noise pattern marketplace.

Abstract: 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.

Abstract: Method of back-calculation for determining candidate sources of data collection for data that contributes to a condition of an industrial machine are disclosed. Methods may include determining a condition of interest, following routes of data collection determined from a configuration and operational template, determining a data collection template configured for collecting and processing data from the contributing data, and updating the operational template of the data collection system in response to the determined data collection template.

Abstract: Systems, methods and apparatus for data collection in an industrial environment are described. Signals from a plurality of analog sensors may be routed via an analog crosspoint switch which includes at least one high current output drive circuit suitable for routing an analog signal. The switch may be configured with data routing information from a data collection template where the routing includes switching a portion of the analog signals to a portion of the plurality of analog signal paths.

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 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.

Abstract: Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels, wherein at least one input channel is connected to a high data rate source; a data storage structured to store detection parameters for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source; a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint of the monitoring system with respect to the high data rate detection parameter; and a response circuit structured to adjust a data selection parameter to thereby adjust a data volume handled by the monitoring system in response to the data handling constraint.

Abstract: Methods and systems for data collection for a chemical or pharmaceutical production process is disclosed. The system according to one disclosed non-limiting embodiment of the present disclosure can 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 wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the chemical or pharmaceutical production process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the chemical or pharmaceutical production process.

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: Systems and methods for data collection in an industrial environment are disclosed. A system can include a plurality of analog sensors, wherein each of the plurality of analog sensors is operationally coupled to a respective data collection point of a machine component, and generates a respective stream of detection values. A data acquisition and analysis circuit can receive the respective stream of detection values and analyze the respective stream of detection values using an expert system analysis circuit, wherein the expert system analysis circuit determines an occurrence of an anomalous condition based on an analysis of the respective stream of detection values, wherein the expert system analysis circuit utilizes a neural network including one of a probabilistic, a time delay, and a convolutional neural network.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for data collection and frequency analysis with self-organization functionality includes analyzing with a processor a plurality of sensor inputs, sampling with the processor data received from at least one of the plurality of sensor inputs at a first frequency, and self-organizing with the processor a selection operation of the plurality of sensor inputs.

Abstract: Methods and systems for data collection in an industrial environment with haptic feedback and data communication and bandwidth control are disclosed. A system can include a data collector to collect data based on a selected data collection routine, a data storage to store a plurality of collector routes and data, a data acquisition circuit to interpret the data and determine an occurrence of an anomalous condition, a data analysis circuit to evaluate a data communication constraint and adjust a volume of data communicated between the input channels and the data storage, wherein the data analysis circuit determines an aggregate rate of data being collected, and, if the aggregate rate exceeds a current bandwidth allocation rate, request an increase to the current bandwidth allocation rate, and a haptic user device for generating a haptic stimulation in response an occurrence of a specified anomalous condition.

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 processing are described, including a plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer communicatively coupled to the industrial sensor inputs; and a controller configured to receive and monitor the data and adaptively schedule the data collector.