Systems, methods and an apparatus for data monitoring. 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 pump and fan types; an analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a pump or fan performance parameter; and a response circuit structured to initiate an action in response to the pump or fan performance parameter.

Methods and systems for a data marketplace in a fluid conveyance device includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding fluid conveyance device in an industrial environment, wherein the at least one data collector is structured to collect detection values from the fluid conveyance device; 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 a user in response to the user data request.

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

Systems and methods include monitoring a health of at least one asset. A remaining useful life (RUL) of the at least one asset is estimated based on the monitoring. The RUL of the asset is categorized into categories comprising shorter than a time to complete a current mission and longer than the time to complete the current mission. One or more remedial actions are automatically performed during the current mission if the RUL is categorized as being less than the time to complete the current mission. The remedial actions comprise one or more of initiating a fail-safe mode, adapting a controller of the one or more assets, reconfiguration of the system, and adjusting the current mission of the one or more assets. Maintenance is scheduled for after the current mission of the at least one asset if the RUL is categorized as being greater than or equal to the time to complete the current mission.

Aggregate processing systems, methods and apparatus are described. Some embodiments include a plurality of equipment criteria sensors, product quantity sensors, product characteristic sensors, and/or actuators. Some embodiments include a control system incorporating algorithm logic. Some embodiments include a control system incorporating artificial intelligence logic.

A system for handling errors in a neural network includes a neural network processor for executing a neural network associated with use of a vehicle. The neural network processor includes an error detector configured to detect a data error associated with execution of the neural network and a neural network controller configured to receive a report of the data error from the error detector. In response to receiving the report, the neural network controller is further configured to signal that a pending result of the neural network is tainted without terminating execution of the neural network.

A method detects and localizes a failure of a measurement acquisition channel in an acquisition system including two redundant acquisition channels for the measurement of a physical quantity in an environment. The method uses a processor with a memory storing a model including modeled values of the physical quantity based on measurements of other physical quantities in the environment. The method includes detecting a symptomatic error of a defective acquisition channel when a deviation between the measured values of the two channels reaches a detection threshold, waiting to let the acquisition system evolve for a certain period, and localizing the defective channel among the two channels, when the deviation of the values measured between the channels reaches a localization threshold different from the detection threshold. The localization is made from the comparison of the measured value of each of the channels with a modeled value of the physical quantity.

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 connected to data collection points related to machine components, wherein at least one of the plurality of input channels is connected to a data collection point on a rotating machine component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system analysis circuit structured to analyze the collected data, wherein the expert system analysis circuit determines a failure state for the rotating machine component based on analysis of the plurality of detection values, wherein upon determining the failure state the expert system analysis circuit provides the failure state to a data storage.

A reconfiguration circuit (352) generates a control value for controlling an output value of a control target device based on an input value, and when a fault occurs in an information processing circuit (200) that outputs the control value generated to the control target device, performs preparation for substituting for the information processing circuit (200). Upon completion of the preparation, a reconfiguration target circuit (510) generates an output plan of a control value such that a difference between an actual output value of the control target device and an output value in a scheduled temporal transition gradually decreases, based on the scheduled temporal transition that is a temporal transition of an output value of the control target device, which is scheduled before occurrence of the fault in the information processing circuit (200), a difference between an actual output value of the control target device upon completion of the preparation and an output value in the scheduled temporal transition, and an input value and a control value before occurrence of the fault in the information processing circuit (200), and outputs a control value to the control target device instead of the information processing circuit (200) according to the output plan generated.

Devices, methods, and systems for determining the cause of a fault in a heating, ventilation, and air conditioning (HVAC) system are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to receive operational data associated with an HVAC system, receive control logic associated with a controller of the HVAC system, determine a cause of a fault occurring in the HVAC system based, at least in part, on the operational data associated with the HVAC system and the control logic of the controller of the HVAC system, and provide the cause of the fault occurring in the HVAC system to a user.