A terahertz wave signal analysis device includes a fitting processing unit 13 that fits synthetic waveforms of a plurality of normal distribution functions which differ in at least one of a center frequency, an amplitude, and a width to a frequency spectrum obtained from a terahertz wave signal and a graph generating unit 14 that generates a graph using at least one of a center frequency, an amplitude, and a width of a plurality of normal distribution functions used in the fitting as parameters, and it is possible to visualize a feature corresponding to a characteristic of a sample in the form of a graph in an easy-to-understand manner by approximating a frequency spectrum which does not clearly appear because a difference in the characteristic of the sample becomes a feature of a waveform by synthetic waveforms of a plurality of normal distribution functions in a form in which the characteristic of the sample is taken over and generating a graph on the basis of parameters of a plurality of normal distribution functions used in the approximation.

A terahertz wave signal analysis device includes a fitting processing unit 13 that fits synthetic waveforms of a plurality of normal distribution functions which differ in at least one of a center frequency, an amplitude, and a width to a frequency spectrum obtained from a terahertz wave signal and a graph generating unit 14 that generates a graph using at least one of a center frequency, an amplitude, and a width of a plurality of normal distribution functions used in the fitting as parameters, and it is possible to visualize a feature corresponding to a characteristic of a sample in the form of a graph in an easy-to-understand manner by approximating a frequency spectrum which does not clearly appear because a difference in the characteristic of the sample becomes a feature of a waveform by synthetic waveforms of a plurality of normal distribution functions in a form in which the characteristic of the sample is taken over and generating a graph on the basis of parameters of a plurality of normal distribution functions used in the approximation.

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.

The invention relates to a method and a device for identifying arc faults in an ungrounded power supply system. This object is attained by detecting a displacement voltage to ground at an active conductor or at a neutral point of the ungrounded power supply system; by providing a value of an operating frequency occurring in the power supply system; and by analyzing a frequency spectrum of the detected displacement voltage by calculating and assessing Fourier coefficients at the locations of the operating frequency and its harmonics. Due to the broadband detection of the displacement voltage interacting with the “quick” generation of the basic functions by means of a DDS generator, arc faults can be identified reliably in an ungrounded power supply system.

The invention relates to a method and a device for identifying arc faults in an ungrounded power supply system. This object is attained by detecting a displacement voltage to ground at an active conductor or at a neutral point of the ungrounded power supply system; by providing a value of an operating frequency occurring in the power supply system; and by analyzing a frequency spectrum of the detected displacement voltage by calculating and assessing Fourier coefficients at the locations of the operating frequency and its harmonics. Due to the broadband detection of the displacement voltage interacting with the “quick” generation of the basic functions by means of a DDS generator, arc faults can be identified reliably in an ungrounded power supply system.

A radiated emission measurement method includes a prescan measurement step of performing broadband measurement including detection of a peak and detection of a quasi-peak by one fast Fourier transform in a target measurement frequency range; a calculation step of calculating a difference in level between the peak and the quasi-peak obtained for a measurement frequency to be a candidate for a result of measurement; a determination step of determining whether the obtained difference is less than a reference value; and an output step of outputting a result obtained as an interference level of the radiated emission in the broadband measurement when it is determined that the difference is less than reference value, and performing narrowband measurement and outputting the obtained result as the interference level of the radiated emission, when it is determined that the difference is equal to or higher than the reference value.

A radiated emission measurement method includes a prescan measurement step of performing broadband measurement including detection of a peak and detection of a quasi-peak by one fast Fourier transform in a target measurement frequency range; a calculation step of calculating a difference in level between the peak and the quasi-peak obtained for a measurement frequency to be a candidate for a result of measurement; a determination step of determining whether the obtained difference is less than a reference value; and an output step of outputting a result obtained as an interference level of the radiated emission in the broadband measurement when it is determined that the difference is less than reference value, and performing narrowband measurement and outputting the obtained result as the interference level of the radiated emission, when it is determined that the difference is equal to or higher than the reference value.

Embodiments of this application disclose an arc detection method for performing protection in an energy storage system, and a related apparatus, to improve accuracy of arc detection in an energy storage system, promptly take an arc extinguishing measure, and reduce a probability of causing a safety hazard. The method in the embodiments of this application includes: A control apparatus obtains an electrical signal at an electrical connection point in an energy storage system. The control apparatus determines a frequency domain amplitude based on a frequency domain characteristic of the electrical signal. When the frequency domain amplitude is greater than a preset amplitude, the control apparatus controls the energy storage system to perform an arc extinguishing and protection operation on the electrical connection point.

A system (800) for determining frequency spacings to prevent intermodulation distortion signal interference is provided. The system (800) includes a sensor assembly (810) and a meter verification module (820) communicatively coupled to the sensor assembly (810). The meter verification module (820) is configured to determine a frequency of a first signal to be applied to a sensor assembly (810) of a vibratory meter and set a demodulation window about the frequency of the first signal. The meter verification module (800) is also configured to determine a frequency of the second signal to be applied to the sensor assembly such that a frequency of an intermodulation distortion signal generated by the first signal and the second signal is outside the demodulation window.

A system (800) for determining frequency spacings to prevent intermodulation distortion signal interference is provided. The system (800) includes a sensor assembly (810) and a meter verification module (820) communicatively coupled to the sensor assembly (810). The meter verification module (820) is configured to determine a frequency of a first signal to be applied to a sensor assembly (810) of a vibratory meter and set a demodulation window about the frequency of the first signal. The meter verification module (800) is also configured to determine a frequency of the second signal to be applied to the sensor assembly such that a frequency of an intermodulation distortion signal generated by the first signal and the second signal is outside the demodulation window.