A data recovery method framework is described, in which the data is classified as either ambient or disturbance data, and recovered by different methods to achieve good performance efficiently. An approach based on decision tree is described for identifying ambient and disturbance data. Then, an improved cubic spline interpolation based on the priority allocation strategy is described for ambient data loss, which can quickly and accurately recover ambient data. Simultaneously, a disturbance data recovery method based on singular value decomposition is described. It can achieve disturbance data recovery accurately by a single channel of measurement.

An industrial asset may have monitoring nodes that generate current monitoring node values. An abnormality detection computer may determine that an abnormal monitoring node is currently being attacked or experiencing fault. A dynamic, resilient estimator constructs, using normal monitoring node values, a latent feature space (of lower dimensionality as compared to a temporal space) associated with latent features. The system also constructs, using normal monitoring node values, functions to project values into the latent feature space. Responsive to an indication that a node is currently being attacked or experiencing fault, the system may compute optimal values of the latent features to minimize a reconstruction error of the nodes not currently being attacked or experiencing a fault. The optimal values may then be projected back into the temporal space to provide estimated values and the current monitoring node values from the abnormal monitoring node are replaced with the estimated values.

A current measurement circuit includes first, second, and third conductors, a first current sensor, a second current sensor, and current computation circuitry. The first conductor is configured to conduct a first phase current of a three-phase current. The second conductor is configured to conduct a second phase current of the three-phase current. The third conductor is configured to conduct a third phase current of the three-phase current. The first current sensor is coupled to the first, the second, and the third conductors. The second current sensor is coupled to the second conductor and the third conductor. The current computation circuitry is coupled to the first current sensor and the second current sensor, and is configured to determine the first current, the second current, and the third current by applying an inverse Clarke transform to the output of the first current sensor and the output of the second current sensor.

A test and measurement instrument has one or more ports configured to receive a signal one or more devices under test (DUT), and one or more processors configured to execute code that causes the one or more processors to: acquire a waveform from the signal, derive a pattern waveform from the waveform, perform linear response extraction on the pattern waveform, present one or more data representations including a data representation of the extracted linear response to a machine learning system, and receive a prediction for a measurement from the machine learning system. A method of performing a measurement on a waveform includes acquiring the waveform at a test and measurement device, deriving a pattern waveform from the waveform, performing linear response extraction on the pattern waveform, presenting one or more data representations including a data representation of the extracted linear response to a machine learning system, and receiving a prediction of the measurement from the machine learning system.

This system (40) for dynamically determining maximum electric current carrying capacities comprises: means (44) for storing a model (54) of a network portion (10), a thermal equilibrium relationship (56), operating limit temperatures and conduction parameters; and a receiver (46) for wind speed values measured by wind measurement stations (24, 26, 28, 30). It further comprises a computer (48) programmed (62, 64, 66, 68) to: apply a model (60) of wind propagation from at least one selected station towards singular points of the model (54) of the network portion, in order to estimate a wind speed value at each singular point; and calculate at least one maximum capacity value at each singular point on the basis of the thermal equilibrium relationship (56), of each operating limit temperature, of each conduction parameter and of weather parameters (58), taking into account said wind speed value estimated at each singular point in the thermal equilibrium relationship (56).

Disclosed are a method and device for measuring the resistance of a light-emitting diode that can measure the resistance value of the light-emitting diode accurately in a non-destructive manner. The disclosed method may include: measuring a first radiative current component of an injected current for the light-emitting diode by using the internal quantum efficiency of the light-emitting diode; generating a second radiative current component by modeling the first radiative current component; and computing a resistance value of the light-emitting diode by using the first and second radiative current components resulting from an applied voltage to the light-emitting diode.

A method includes obtaining a first waveform representing an output characteristic with respect to time of a switched-mode power supply. The method further includes removing a high frequency component from the first waveform to generate a modified waveform and determining a stable value of the modified waveform. The method further includes determining an operating parameter of the switched-mode power supply based on the modified waveform, the stable value, or a combination thereof. The one or parameter includes an overshoot value associated with the switched-mode power supply, an undershoot value associated with the switched-mode power supply, or a settling time associated with the switched-mode power supply. The method further includes outputting an indication of the parameter.

An output module for an industrial controller provides electrical isolation between each of the output terminals in the module. The output module receives control signals from the industrial controller indicating a desired output state for each of the output terminals and selectively connects power from the output of the electrical isolation to the output terminal. During normal operation, a switching device connects the power to the output terminal responsive to the control signal. A current sensor monitors the current conducted at the output terminal. If the current exceeds a predefined threshold, a current limit circuit clamps the current being output at the terminal. A control circuit may allow the output terminal to ride through a temporary spike in current or disable the output terminal if a fault condition is detected.

A temperature-compensating clock frequency monitor circuit may be provided to detect a clock pulse frequency in an electronic device that may cause erratic or dangerous operation of the device, as a function of an operating temperature of the device. The temperature-compensating clock frequency monitor circuit include a temperature sensor configured to measure a temperature associated with an electronic device, a clock having an operating frequency, and a frequency monitoring system. The frequency monitoring system may be configured to determine the operating frequency of the clock, and based at least on (a) the operating frequency of the clock and (b) the measured temperature associated with the electronic device, generate a corrective action signal to initiate a corrective action associated with the electronic device or a related device. The temperature sensor, clock, and frequency monitoring system may, for example, be provided on a microcontroller.

Techniques for improving current sensing via a shunt resistance are provided. In an example, an apparatus for sensing current can include a substrate, and a plurality of metal layers stacked on the substrate and separated from the substrate and from each other by an insulation material. In certain examples, a first one or more metal layers can form a sense resistance configured to pass current between a source and a load, and a second one or more metal layers can form one or more gain resistances coupled to the sense resistance and configured to couple to a current sense amplifier. In some example, a metal layer can include portions of both the sense resistance and the gain resistance to compensate for environmental anomalies, material anomalies or manufacturing anomalies.