Methods and systems for data collection in tanks with future status prediction and load balancing are disclosed. A system can include a data acquisition circuit to interpret a plurality of detection values, a data analysis circuit to analyze detection values to determine a future status of at least one of a plurality of components of the tank, wherein the future status includes at least one of: a future state, a future condition, or a future stage of a process of the tank, and an analysis response circuit to perform an action in response to the determination of the future status, wherein the action includes rebalancing process loads of at least some of the plurality of components.

Systems and methods for data collection and analysis utilizing a neural network are disclosed. A system for data collection can include a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package including at least one of a plurality of input sensors. The system may further include a data analysis circuit utilizing a neural network to analyze a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device, wherein the phase of the plurality of detection values is derived using at least one on-board timer relative to at least one trigger channel including a trigger signal output from a trigger sensor and formed of a plurality of trigger pulses.

Systems and methods for data collection and phase detection are disclosed. A system can include a data acquisition circuit to interpret a plurality of detection values received from a plurality of multiplexed input sensors, each of the plurality of input sensors operatively coupled to a component of an industrial system. The system may also include a data analysis circuit utilizing a neural network to analyze a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device, wherein the phase of the plurality of detection values is derived using at least one on-board timer relative to at least one trigger channel comprising a trigger signal output from a trigger sensor and formed of a plurality of trigger pulses.

Systems and methods for data collection and frequency analysis are disclosed. A system can include a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package including at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to an component of an industrial system. The system can also include a data analysis circuit utilizing a neural network to analyze a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device, wherein the data analysis circuit makes use of a signal evaluation circuit to perform a frequency analysis on the plurality of detection values.

Methods and devices for user directed data collection are disclosed. A device can include a data acquisition circuit to request and receive a plurality of detection values over a period of time comprising a data collection band, 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 component to store specifications and anticipated state information for the plurality of input sensors; and a response circuit to provide the data acquisition circuit with direction regarding a manner in which the plurality of detection values is requested, wherein the direction is derived, at least in part, from a stored data collection file defined by a user via a graphical user interface (GUI).

Systems and methods for data communication over a plurality of data paths are disclosed. Messages between a first node and a second node may be transmitted, wherein some of the messages are transmitted over a first data path using a first communication protocol, and some of the messages are transmitted over a second data path using a second communication protocol. A determination may be made that the first data path is altering a flow of messages due to the messages being transmitted using the first communication protocol and a number of messages sent over the different data paths adjusted in response, wherein adjusting comprises decreasing a number of the messages transmitted over the first data path and increasing a number of messages transmitted over the second data path, wherein altering the flow of messages is performed automatically under control of an expert system.

Systems and methods for data collection and predication of future states of components are disclosed. A 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 a detection package, the detection package comprising at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to a component of an industrial system. The system can also include a data analysis circuit to predict a future state of the component based, at least in part, upon the plurality of detection values and data received from data collection band circuit.

A device can include an analog switch including a plurality of inputs and outputs, a data acquisition circuit adapted to request and receive a plurality of detection values corresponding to a plurality of input sensors forming a data pool and communicatively coupled to the data acquisition circuit wherein each of the plurality of input sensors is coupled to at least one of the plurality of inputs of the analog switch, a data storage component adapted to store specifications and anticipated state information for the plurality of input sensors, and a response circuit adapted to provide the data acquisition circuit with direction regarding a manner in which the plurality of detection values is requested, wherein the analog switch is adapted to selectively couple, based at least in part on the direction, at least one of the plurality of inputs to at least one of the plurality of outputs.

Methods and systems for monitoring a brush holder assembly and/or detecting wear of a brush in a brush holder assembly are disclosed. One method includes sending data from a plurality of remote monitoring locations to a central control unit, where the data may be evaluated in order to monitor states of brushes at a plurality of remote electrical facilities. For example, multiple images of a marker tracking longitudinal movement of the brush may be acquired. A comparison of the images, for example, a comparative imaging technique, such as pixel-by-pixel comparison, may then be performed in order to evaluate a condition of the brush, such as the wear rate, wear state, or life expectancy of the brush.

A method includes collecting a data for a time from sensors to a fixed monitoring system. The fixed monitoring system is fixedly coupled to a turbo-machinery and the sensors are configured to monitor the turbo-machinery, also, the time comprises at least one week. The method also includes recovering the data by coupling a portable machinery monitor to the fixed monitoring system and retrieving the data into the portable machinery monitor. The method also includes analyzing the data to determine one or more machinery conditions. The analyzing the data comprises analyzing the data via the portable machinery monitor, an external system, or any combination thereof.