US 2026/0259266 A1 · ABNORMALITY DIAGNOSIS DEVICE AND ABNORMALITY DIAGNOSIS METHOD

Abstract

An abnormality diagnosis device includes a frequency analysis section which performs frequency analysis on a waveform of the current signal of an electric motor, a feature frequency band extraction section which extracts data belonging to a feature frequency band so as to include a plurality of spectrum peaks, in a predetermined frequency range in a frequency analysis result, a feature quantity calculation section which detects the plurality of spectrum peaks from the data belonging to the feature frequency band, excludes data detected as the plurality of spectrum peaks from the data belonging to the feature frequency band, and calculates a sum of signal intensities included in the data belonging to the feature frequency band from which the above data have been excluded, and an abnormality diagnosis section which diagnoses that rotary machine equipment is abnormal in a case where the sum is equal to or greater than a threshold.

Claims23

Dependent claims

1-28. (canceled)

An abnormality diagnosis device for diagnosing abnormality in rotary machine equipment, the abnormality diagnosis device comprising:

a current signal storage circuitry which stores a current signal of an electric motor;
a frequency analysis circuitry which performs frequency analysis on a waveform of the current signal stored in the current signal storage circuitry;
a feature frequency band extraction circuitry which extracts data belonging to a feature frequency band so as to include a plurality of spectrum peaks, in a predetermined frequency range in a frequency analysis result which is a result of the frequency analysis on the waveform of the current signal performed by the frequency analysis circuitry;
a feature quantity calculation circuitry which detects the plurality of spectrum peaks from the data belonging to the feature frequency band, excludes data detected as the plurality of spectrum peaks from the data belonging to the feature frequency band, and calculates a sum of signal intensities included in the data belonging to the feature frequency band from which the data detected as the plurality of spectrum peaks have been excluded;
an abnormality diagnosis circuitry which diagnoses that the rotary machine equipment is abnormal in a case where the sum is equal to or greater than a first threshold;
wherein
the first threshold is a value obtained by performing statistical processing on the sums accumulated during a predetermined period from start of driving of the rotary machine equipment;
and
in a case where a number of data of the sum and a number of data of the first threshold are different from each other, the feature quantity calculation circuitry sequentially excludes data having higher signal intensities from data of the first threshold or sequentially excludes data having higher signal intensities from data of the sum, so that the number of data of the sum and the number of data of the first threshold coincide with each other.

6 more elements

An abnormality diagnosis device for diagnosing abnormality in rotary machine equipment, the abnormality diagnosis device comprising:

a current signal storage circuitry which stores a current signal of an electric motor;
a frequency analysis circuitry which performs frequency analysis on a waveform of the current signal stored in the current signal storage circuitry;
a feature frequency band extraction circuitry which extracts data belonging to a feature frequency band so as to include a plurality of spectrum peaks, in a predetermined frequency range in a frequency analysis result which is a result of the frequency analysis on the waveform of the current signal performed by the frequency analysis circuitry;
a feature quantity calculation circuitry which sorts the data belonging to the feature frequency band in an intensity order of signal intensities, excludes data of the signal intensities equal to or greater than a second threshold from the data belonging to the feature frequency band, and calculates a sum of the signal intensities included in the data belonging to the feature frequency band from which the data of the signal intensities equal to or greater than the second threshold have been excluded;
and
an abnormality diagnosis circuitry which diagnoses that the rotary machine equipment is abnormal in a case where the sum is equal to or greater than a first threshold;
wherein
the first threshold is a value obtained by performing statistical processing on the sums accumulated during a predetermined period from start of driving of the rotary machine equipment;
and
in a case where a number of data of the sum and a number of data of the first threshold are different from each other, the feature quantity calculation circuitry sequentially excludes data having higher signal intensities from data of the first threshold or sequentially excludes data having higher signal intensities from data of the sum, so that the number of data of the sum and the number of data of the first threshold coincide with each other.

7 more elements

An abnormality diagnosis method for diagnosing abnormality in rotary machine equipment, the abnormality diagnosis method comprising:

a current signal detection step of detecting a current signal of current flowing through an electric motor;
a frequency analysis step of performing frequency analysis on a waveform of the current signal detected in the current signal detection step;
a feature frequency band extraction step of extracting data belonging to a feature frequency band so as to include a plurality of spectrum peaks, in a predetermined frequency range in a frequency analysis result which is a result of the frequency analysis on the waveform of the current signal performed in the frequency analysis step;
a data exclusion step of detecting the plurality of spectrum peaks from the data belonging to the feature frequency band, and excluding data detected as the plurality of spectrum peaks from the data belonging to the feature frequency band;
a feature quantity calculation step of calculating a sum of signal intensities included in the data belonging to the feature frequency band from which the data detected as the plurality of spectrum peaks have been excluded;
a determination step of determining whether or not the sum is equal to or greater than a first threshold;
and
an abnormality diagnosis step of diagnosing that the rotary machine equipment is abnormal in a case where the sum is equal to or greater than the first threshold;
wherein
the first threshold is a value obtained by performing statistical processing on the sums accumulated during a predetermined period from start of driving of the rotary machine equipment;
and
in a case where a number of data of the sum and a number of data of the first threshold are different from each other, the feature quantity calculation step sequentially excludes data having higher signal intensities from data of the first threshold or sequentially excludes data having higher signal intensities from data of the sum, so that the number of data of the sum and the number of data of the first threshold coincide with each other.

9 more elements

An abnormality diagnosis method for diagnosing abnormality in rotary machine equipment, the abnormality diagnosis method comprising:

a current signal detection step of detecting a current signal of current flowing through an electric motor;
a frequency analysis step of performing frequency analysis on a waveform of the current signal detected in the current signal detection step;
a feature frequency band extraction step of extracting data belonging to a feature frequency band so as to include a plurality of spectrum peaks, in a predetermined frequency range in a frequency analysis result which is a result of the frequency analysis on the waveform of the current signal performed in the frequency analysis step;
a data exclusion step of sorting the data belonging to the feature frequency band in an intensity order of signal intensities, and excluding data of the signal intensities equal to or greater than a second threshold from the data belonging to the feature frequency band;
a feature quantity calculation step of calculating a sum of the signal intensities included in the data belonging to the feature frequency band from which the data of the signal intensities equal to or greater than the second threshold have been excluded;
a determination step of determining whether or not the sum is equal to or greater than a first threshold;
and
an abnormality diagnosis step of diagnosing that the rotary machine equipment is abnormal in a case where the sum is equal to or greater than the first threshold;
wherein
the first threshold is a value obtained by performing statistical processing on the sums accumulated during a predetermined period from start of driving of the rotary machine equipment;
and
in a case where a number of data of the sum and a number of data of the first threshold are different from each other, the feature quantity calculation step sequentially excludes data having higher signal intensities from data of the first threshold or sequentially excludes data having higher signal intensities from data of the sum, so that the number of data of the sum and the number of data of the first threshold coincide with each other.

9 more elements

Dependencies are inferred from the claim text.

Abnormality diagnosis device and abnormality diagnosis method

Life of this patent

Abnormality diagnosis device and abnormality diagnosis method

Life of this patent

Abstract

Claims23