A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive a first dataset associated with a mover system having a track and a plurality of mover assemblies independently movable along the track, identify a subset of the first dataset associated with a normal operating state of the mover system based on state data associated with the mover system, receive a second dataset associated with the mover system after receiving the first dataset and having a first set of differences from the subset of the first dataset, determine whether the second dataset is indicative of an anomaly state of the mover system based on a relationship between an anomaly signature dataset and the second dataset, and adjusting operation of the mover system in response to determining that the second dataset corresponds to the anomaly signature dataset.

Described herein are systems and methods for real-time fault detection in electrical circuits. Various embodiments provide a fault detection circuit that uses a resistor network that is controlled to detect an internal current leak in multiple directions, e.g., to ground or to a power supply. The magnitude of the leakage current may be estimated from voltage measurements at voltage pins. In addition, as part of circuit diagnostics, open and short circuit fault conditions may be identified by using current sources and measuring deflections at the voltage pins.

An information processor system for monitoring a complex system and including a mechanism receiving at least one piece of event detection information associated with a detection time and a mechanism generating at least one remanent confidence level value that decreases over time starting from the detection time.

In the disclosure, a failure of a device performing work while moving is more reliably detected while the data amount of failure diagnosis data is reduced. The disclosure includes a frequency analyzing part which performs a frequency analysis on acquired data from an acceleration sensor; a maximum frequency detecting part which detects a maximum frequency from a result of the frequency analysis; and a failure diagnosis data generating part which sets a frequency twice or more of the maximum frequency as a sampling frequency, samples the acquired data from the acceleration sensor, and generates the failure diagnosis data.

A diagnostic system for identifying vehicle sensors impaired by a foreign substance. The system includes a plurality of vehicle sensors configured to facilitate navigation of a vehicle in an environment. A gear shift detection sensor is configured to detect a gear position of the vehicle. A control module is configured to identify which of the plurality of vehicle sensors is impaired by a foreign substance; and identify for an operator of the vehicle which of the plurality of vehicle sensors is impaired due to the foreign substance based on the gear position of the vehicle.

A system and method predict whether or not a plant is abnormal and perform an accurate prediction even if a modeling is executed in a state where the understanding for a target to abnormality determination is low, or when a person unfamiliar with system designs a prediction model. The system includes a correlation coefficient calculation unit for calculating a correlation coefficient for each of two tags among a plurality of tags; a relevant tag determination unit for determining a relevant tag for each tag of the plurality of tags by comparing the correlation coefficient with a reference value; and an independent tag determination unit for determining one or more among the plurality of tags as an independent tag based on the relevant tag. The relevant tag determination unit includes primary and second tag extraction sections for extracting primary and second tags for each tag of the plurality of tags.

A data processing method for processing a plurality of pieces of unit-processing data (each unit-processing data includes a plurality of pieces of time series data) includes: a unit-processing data evaluating step of taking, as reference data, previously defined unit-processing data among the plurality of pieces of unit-processing data and calculating an evaluation value for unit-processing data to be evaluated based on the unit-processing data to be evaluated and the reference data; and a reference data changing step of changing the reference data based on the evaluation value calculated in the unit-processing data evaluating step.

A system and a method are provided including a controller for a refrigeration or HVAC system having a compressor rack with at least one compressor. The controller communicates with a tracking module configured to diagnose health of a compressor in the compressor rack. In response to rated performance data for the compressor being unavailable, the tracking module is configured to generate baseline data for the compressor and to diagnose health of the compressor by comparing operational data of the compressor to the baseline data for the compressor. In response to the rated performance data for the compressor being available, the tracking module is configured to diagnose health of the compressor by comparing the operational data of the compressor to the rated performance data for the compressor.

A system includes a system controller for a refrigeration or HVAC system having a compressor rack with at least one compressor and a condensing unit with at least one condenser fan. The system includes a rack controller for the compressor rack. The rack controller is in communication with the system controller. The system includes a condensing unit controller for the condensing unit. The condensing unit controller is in communication with the system controller. The system controller receives component identification information identifying components of the compressor rack and the condensing unit, retrieves component information including at least one of component specification information, component capacity information, and component capability information, based on the component identification information, and performs setup operations based on the component information.

Disclosed is a heterogeneous field devices control management system based on an industrial internet operating system. In order to solve the problems that it is difficult to add new heterogeneous field devices to an existing system, as well as that the system has low security and a real-time performance, on one hand, according to embodiments of the present disclosure, on the basis of the differences of real-time requirements of services operated by heterogeneous field devices, a real-time virtual machine processes a real-time service and a non-real-time virtual machine processes a non-real-time service, thus different operating environments could be customized for a real-time service and a non-real-time service, avoiding the situation that when a system upgrade is made for a non-real-time service or a non-real-time virtual service fails, a real-time service is also affected, service isolation is realized, and, stability and reliability of industrial field control are enhanced.