In one embodiment, an apparatus includes: a sensor to sense real world information; a digitizer coupled to the sensor to digitize the real world information into digitized information; a signal processor coupled to the digitizer to process the digitized information into a spectrogram; a neural engine coupled to the signal processor, the neural engine comprising an autoencoder to compress the spectrogram into a compressed spectrogram; and a wireless circuit coupled to the neural engine to send the compressed spectrogram to a remote destination, to enable the remote destination to process the compressed spectrogram.

An embodiment of the present disclosure provides an arc detection method, in which an apparatus detects arcs, comprising the steps of: obtaining time series data for measured values of an electric current flowing in a wire; calculating first statistical values indicating dispersion degrees with time of the measured values or dispersion degrees with time of variances of the measured values from the time series data; and determining that an arc occurs in the wire or that the possibility of arc occurrence in the wire is high in a case when at least one of the first statistical values is out of a predefined range.

Analysis of smart meter and/or similar data based on frequency content is disclosed. In various embodiments, for each of a plurality of resource consumption nodes a time series data including for each of a series of observation times a corresponding resource consumption data associated with that observation time is received. At least a portion of the time series data, for each of at least a subset of the plurality of resource consumption nodes, is transformed into a frequency domain. A feature set based at least in part on the resource consumption data as transformed into the frequency domain is used to detect that resource consumption data associated with a particular resource consumption node is anomalous.

Analysis of smart meter and/or similar data based on frequency content is disclosed. In various embodiments, for each of a plurality of resource consumption nodes a time series data including for each of a series of observation times a corresponding resource consumption data associated with that observation time is received. At least a portion of the time series data, for each of at least a subset of the plurality of resource consumption nodes, is transformed into a frequency domain. A feature set based at least in part on the resource consumption data as transformed into the frequency domain is used to detect that resource consumption data associated with a particular resource consumption node is anomalous.

A method for identifying asymmetrical vibrations during the operation of an electric device which is connected to a high-voltage grid: Operational noise of the electric device is detected using acoustic sensors which output measured values. The measured values and/or values derived therefrom are transmitted to a communication unit via a close-range communication connection and then transmitted to a data processing cloud via a far-range communication connection. The measured values and/or the values derived from the measured values are separated into frequency components by the data processing cloud using a Fourier transformation, thereby obtaining a frequency spectrum. Odd and even frequency components of the frequency spectrum are ascertained on the basis of a base frequency of the high-voltage supply grid and put into a ratio R relative to one another. The presence of asymmetrical vibrations is indicated if the ratio R exceeds a specified threshold.

A method for identifying asymmetrical vibrations during the operation of an electric device which is connected to a high-voltage grid: Operational noise of the electric device is detected using acoustic sensors which output measured values. The measured values and/or values derived therefrom are transmitted to a communication unit via a close-range communication connection and then transmitted to a data processing cloud via a far-range communication connection. The measured values and/or the values derived from the measured values are separated into frequency components by the data processing cloud using a Fourier transformation, thereby obtaining a frequency spectrum. Odd and even frequency components of the frequency spectrum are ascertained on the basis of a base frequency of the high-voltage supply grid and put into a ratio R relative to one another. The presence of asymmetrical vibrations is indicated if the ratio R exceeds a specified threshold.

The device for detecting a leak may include: an earth voltage measuring unit measuring earth voltage; an ADC unit sampling the measured earth voltage and converting the sampled earth voltage into a digital value; an effective value calculating unit calculating an effective value of the earth voltage converted into the digital value; a Fourier transforming unit performing Fourier transform of the measured earth voltage to calculate voltage for each harmonic component; a content rate calculating unit calculating a voltage content rate of the fundamental frequency to voltage; a harmonic distortion rate calculating unit calculating a total harmonic distortion and a harmonic distortion factor based on the voltage for each harmonic component; a zero-crossing estimating unit estimating a zero-crossing count; and a suspicious earth leaking area determining unit determining that the earth voltage is generated by the leak of the AC commercial power.

Devices and methods to allow a source of noise generated by modulation with a signal inside a device to be easily measured. A measurement device according to an embodiment includes: a transmission unit that applies a first signal formed by a high frequency signal to an object to be measured; a reception unit that receives a second signal formed by a high frequency signal generated from the object to be measured; and a measurement unit that measures the second signal received by the reception unit. The reception unit receives the second signal while the transmission unit applies the first signal.

Devices and methods to allow a source of noise generated by modulation with a signal inside a device to be easily measured. A measurement device according to an embodiment includes: a transmission unit that applies a first signal formed by a high frequency signal to an object to be measured; a reception unit that receives a second signal formed by a high frequency signal generated from the object to be measured; and a measurement unit that measures the second signal received by the reception unit. The reception unit receives the second signal while the transmission unit applies the first signal.

A frequency measurement method is provided, which comprising: sampling a voltage to be measured with a fixed sampling frequency; obtaining a positive-sequence voltage angle change amount for a predetermined operation interval time by using a sampling sample obtained by the sampling and based on a discrete Fourier transform (DFT) calculation; obtaining a frequency offset amount by using the positive-sequence voltage angle change amount; and obtaining a frequency-related measurement value by using the frequency offset amount. A frequency measurement apparatus is also provided. measurement value. This frequency measurement method does not require iterative calculations, and directly obtains frequency-dependent measurement values, thereby responding quickly to frequency changes. In addition, a frequency measurement apparatus is also provided.