One or more embodiments relate to a bio-signal measurement apparatus and a bio-signal measurement method for detecting peaks and a computer program for executing the method. Sensed ECG signal is wavelet transformed into one or more levels, and an effective peak of a bio-signal is detected using a complexity value of a signal surrounding the peak in the converted signals.

One or more embodiments relate to a bio-signal measurement apparatus and a bio-signal measurement method for detecting peaks and a computer program for executing the method. Sensed ECG signal is wavelet transformed into one or more levels, and an effective peak of a bio-signal is detected using a complexity value of a signal surrounding the peak in the converted signals.

The invention provides a diagnostic device including: an input/output unit that receives an input of a current value indicating a value of a current of an electric motor measured by a sensor; a frequency analysis unit that converts the current value measured by the sensor into a frequency intensity; a deterioration mode decomposition unit that uses a state mode model indicating a change situation of a frequency intensity in a part constituting the electric motor to calculate an activity level indicating a time series change of a deterioration intensity for each state mode model from the frequency intensity; and an abnormality determination unit that determines a deterioration and an abnormality of each part using the activity level.

The invention provides a diagnostic device including: an input/output unit that receives an input of a current value indicating a value of a current of an electric motor measured by a sensor; a frequency analysis unit that converts the current value measured by the sensor into a frequency intensity; a deterioration mode decomposition unit that uses a state mode model indicating a change situation of a frequency intensity in a part constituting the electric motor to calculate an activity level indicating a time series change of a deterioration intensity for each state mode model from the frequency intensity; and an abnormality determination unit that determines a deterioration and an abnormality of each part using the activity level.

A method for correcting a time-dependent measurement signal generated by means of an electric motor coupled on the output side to a transmission with regard to the influence of a variable output load and a variable rotational speed includes: tapping a time-varying measurement signal which is dependent on a torque of the motor transmission unit; generation of a useful signal, which is free of any DC component, from the measurement signal; interval-by-interval determination of RMS values from the measurement signal; generation of a load-corrected useful signal by an interval-by-interval division of the useful signal, which is free of any DC component, by the interval-specific RMS values; time-resolved determination of the rotational frequency of the motor from the measurement signal; scaling the load-corrected useful signal to the mean rotational frequency to generate a corrected measurement signal, and, use of the corrected measurement signal for fault detection of the motor transmission unit.

Provided a method including applying a Fourier Transform to an AC current waveform measured to perform conversion thereof to a frequency domain; adjusting entire phase components of frequency spectra obtained as a result of the Fourier Transform, such that a phase component of an AC power supply frequency becomes zero; and applying an inverse Fourier Transform to the frequency spectra with the entire phase components thereof adjusted to obtain a current waveform in a time domain.

Provided a method including applying a Fourier Transform to an AC current waveform measured to perform conversion thereof to a frequency domain; adjusting entire phase components of frequency spectra obtained as a result of the Fourier Transform, such that a phase component of an AC power supply frequency becomes zero; and applying an inverse Fourier Transform to the frequency spectra with the entire phase components thereof adjusted to obtain a current waveform in a time domain.

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.

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 electrical test device may include a power supply, a conductive probe element, and a spectral analysis block. The power supply may be connected to an external power source. The conductive probe element may be connected to the power supply and may be configured to be energized by the power supply. The probe element may be configured to be placed in contact with an electrical system under test and apply an input signal containing current for measuring at least one parameter of the electrical system. The spectral analysis block may be connected to the probe element and may be configured to receive an output signal from the electrical system in response to the application of the current to the electrical system. The spectral analysis block may be configured to analyze frequency spectra of the output signal and detect a broadband increase in energy of the frequency spectra above a predetermined energy threshold. The broadband increase in energy may be representative of the occurrence of arcing in the electrical system.