Method for evaluating service performance of transportation infrastructure health monitoring systems and device therefor
US-2024426696-A1 · Dec 26, 2024 · US
US12140507B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12140507-B2 |
| Application number | US-202017616687-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 10, 2020 |
| Priority date | Sep 13, 2019 |
| Publication date | Nov 12, 2024 |
| Grant date | Nov 12, 2024 |
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A vibration detection device includes an A/D conversion unit for receiving a sine wave signal of an AE wave corresponding to vibration generated in a target machine from an AE sensor that detects the AE wave and converting the received sine wave signal into digital data, an extraction unit for extracting, from the digital data, a data point of a local maximum value for each cycle of the sine wave signal, and an output processing unit for outputting the data point extracted by the extraction unit and cycle data including data points with the number of points which can be recognized as a sine wave and including the data point of a local maximum value so that an output unit visibly outputs the data point and the cycle data.
Opening claim text (preview).
The invention claimed is: 1. A vibration detection device comprising: processing circuitry configured to receive a sine wave signal of an acoustic emission wave corresponding to vibration generated in a target machine from an Acoustic Emission (AE) sensor that detects the acoustic emission wave, to convert the received sine wave signal into digital data, to extract a local maximum value of the sine wave signal from the digital data, the local maximum value of the sine wave signal being a maximum value within each cycle of the sine wave signal in the digital data, and to output the local maximum value of the sine wave signal to an abnormality determination apparatus that determines existence of an abnormality of the target machine based on a change in the local maximum value, wherein the processing circuitry is further configured to determine, as noise, a data point included in inverting data points and not corresponding to a peak position of a cycle of the sine wave signal, an increasing or decreasing trend between each of the inverting data points and a data point extracted immediately before being inverted, and an increasing or decreasing trend between said each of the inverting data points and the data point extracted immediately after being inverted, and to remove the noise from the local maximum value extracted. 2. The vibration detection device according to claim 1 , wherein the processing circuitry is further configured to determine noise in the digital data, and to remove the noise from the digital data. 3. The vibration detection device according to claim 1 , wherein the processing circuitry is further configured to determine, as noise, a data point which does not correspond to a peak position of a cycle of the sine wave signal among data points corresponding to the digital data, and to remove the noise from the digital data. 4. The vibration detection device according to claim 1 , wherein the processing circuitry is further configured to visibly output data points corresponding to the digital data and having the number of points which can be recognized as a sine wave and to visibly output the local maximum value. 5. The vibration detection device according to claim 1 , wherein the processing circuitry is further configured to determine which change trend of a stable trend, an increasing trend, a decreasing trend, or a change trend turning from decreasing to increasing the sine wave signal has by using the local maximum value for each of a plurality of cycles of the sine wave signal, to calculate a change amount of a value of the sine wave signal that is changed with the change trend, and to output the change amount and corresponding to the change trend of the sine wave signal. 6. The vibration detection device according to claim 5 , wherein the processing circuitry is further configured to set a value indicating output stability as the change amount of the value of sine wave signal when the sine wave signal is determined to have the stable trend, to calculate a difference between the value of the sine wave signal before increasing and the value of the sine wave signal when the value of the sine wave signal becomes stable after increasing as the change amount of the value of the sine wave signal when the sine wave signal is determined to become stable from the increasing trend, to calculate a difference between the value of the sine wave signal before decreasing and the value of the sine wave signal when the value of the sine wave signal becomes stable after decreasing as the change amount of the value of the sine wave signal when the sine wave signal is determined to become stable from the decreasing trend, and to calculate, as the change amount of the value of the sine wave signal, an addition value of the value of the sine wave signal before decreasing and the value of the sine wave signal when the value of the sine wave signal becomes stable after turning from decreasing to increasing when the sine wave signal is determined to become stable after turning from decreasing to increasing. 7. The vibration detection device according to claim 5 , wherein the processing circuitry is further configured, by using the data points of the sine wave signal, to determine which of a change trend that turns from increasing to decreasing, a change trend that turns from decreasing to increasing, a change trend that turns from decreasing to increasing and then turns from decreasing to increasing, or a change trend that turns from decreasing to increasing and then turns to decreasing the sine wave signal has. 8. An abnormality determination system comprising: a vibration detection device according to claim 1 , wherein the processing circuitry is further configured to determine an abnormality of the target machine on a basis of a change in the local maximum value of the sine wave signal. 9. The abnormality determination system according to claim 8 , wherein the processing circuitry further performs to remove a DC offset from the digital data; to calculate effective values of the digital data from which the DC offset is removed; and to calculate an average value of the effective values of the digital data, wherein the processing circuitry determines a deterioration state of the target machine on a basis of the average value. 10. The vibration detection device according to claim 1 , wherein: the determination apparatus is included in the vibration detection device and is configured to determine the abnormality of the target machine based on a comparison of the local maximum value to a previously stored value. 11. The vibration detection device according to claim 1 , further comprising: a display configured to display the extracted local maximum value within each of a plurality of cycles of the sine wave signal in the digital data from which an inspection worker can determine whether the digital data includes noise. 12. A vibration detection device comprising: processing circuitry configured to receive a sine wave signal of an acoustic emission wave corresponding to vibration generated in a target machine from an Acoustic Emission (AE) sensor that detects the acoustic emission wave, to convert the received sine wave signal into digital data, to extract data points of a local maximum value from the digital data, each of the data points of the local maximum value being a data point having a local maximum value for each cycle of the sine wave signal, to determine noise in the digital data, and to remove the noise from the digital data, wherein the processing circuitry determines, as the noise, a data point not corresponding to a peak position of a cycle of the sine wave signal among the data points extracted from the digital data, wherein the processing circuitry extracts data points of a local minimum value from the digital data, each of the data points of the local minimum value is a data point having a local minimum value for each cycle of the sine wave signal, and inverts a sign of each of the data points of the local minimum value. 13. The vibration detection device according to claim 12 , wherein the processing circuitry removes data points of a cycle that include the noise from the digital data. 14. The vibration detection device according to claim 12 , wherein the processing circuitry is further configured to remove the noise included in a cycle of the sine wave signal, and to extract a data point of a local maximum value from data points of the cycle of the sine wave signal from which noise is removed. 15. A vibration detection method performed by processing circuitry,
using acoustic emission techniques {(echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00)} · CPC title
Signal recognition, e.g. specific values or portions, signal events, signatures · CPC title
by exciting or detecting vibration or acceleration (vibration testing of structures G01M7/00) · CPC title
of rotating machines (G01H1/10 takes precedence) · CPC title
Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the other groups of this subclass · CPC title
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