# US 12,761,109 B2 · Monitoring system and method

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- Number: US 12,761,109 B2
- Document ID: US12761109B2
- Status: Granted
- Kind: B2
- Application number: 18/396,472
- Filed: 2023-12-26
- Published: 2025-05-29
- Granted: 2026-10-13
- Earliest claimed: 2023-11-29
- Assignees: Industrial Technology Research Institute
- Applicants: Industrial Technology Research Institute
- Inventors: Yu-Kun Lin; Chia-Jen Ting; Chih-Chiang Weng; Ching-I Tai; ZhongYi Yang
- Web page: https://patentgrep.com/patent/US12761109B2

## CPC

- G01M 7/025: {Measuring arrangements}
- G01M 13/00: Testing of machine parts
- G01M: TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR

## Abstract

A monitoring system includes a vibrating module, an acoustic emission sensor and a processing device. The vibrating module is configured to vibrate a target object. The acoustic emission sensor is configured to sense an acoustic emission signal with liquid generated by a deformation of the target object. The processing device is connected to the vibrating module and the acoustic emission sensor, and is configured to receive the acoustic emission signal and perform: dividing the acoustic emission signal into signal segments having a same time length, performing a time-frequency transformation on the signal segments to generate power spectrums, performing an average calculation on the power spectrums to generate a power spectral density, and adjusting or maintaining an operation parameter of the vibrating module according to a comparison result between a default difference value and a difference value between a maximum value of the power spectral density and a set value.

## Claims

### Claim 1

A monitoring system, comprising:
a vibrating module configured to vibrate a target object;
an acoustic emission sensor configured to sense an acoustic emission signal generated by a deformation of the target object with liquid as sensing medium; and
a processing device connected to the acoustic emission sensor and comprising a transducer connected to the vibrating module, and configured to receive the acoustic emission signal and perform:
dividing the acoustic emission signal into a plurality of signal segments, wherein the plurality of signal segments have a same time length;
performing a time-frequency transformation on the plurality of signal segments to generate a plurality of power spectrums of the plurality of signal segments;
performing an average calculation on the plurality of power spectrums to generate a power spectral density; and
adjusting or maintaining an operation parameter of the vibrating module according to a comparison result between a difference value and a default difference value, and outputting, by the transducer, a vibrating signal corresponding to the operation parameter to the vibrating module to vibrate the target object, wherein the difference value is a difference between a maximum value of the power spectral density and a set value, wherein the processing device is configured to adjust the operation parameter of the vibrating module when the difference value between the maximum value and the set value is not smaller than the default difference value, and maintain the operation parameter of the vibrating module when the difference value between the maximum value and the set value is smaller than the default difference value.

### Claim 2 (depends on 1)

The monitoring system according to claim 1, wherein the set value is associated with the vibrating signal.

### Claim 3 (depends on 1)

The monitoring system according to claim 1, wherein the processing device further comprises:
a computing element connected to the acoustic emission sensor and the transducer.

### Claim 4 (depends on 1)

The monitoring system according to claim 1, wherein the processing device is configured to perform a fuzzy inference on the difference value between the maximum value and the set value to adjust the operation parameter of the vibrating module.

### Claim 5 (depends on 1)

The monitoring system according to claim 1, wherein the time-frequency transformation comprises Fourier transformation.

### Claim 6 (depends on 1)

The monitoring system according to claim 1, wherein two adjacent signal segments among the plurality of signal segments has an overlapping portion, a time length of the overlapping portion is half of the time length of each one of the plurality of signal segments.

### Claim 7

A monitoring method, performed by a processing device, comprising:
obtaining an acoustic emission signal sensed by an acoustic emission sensor sensing a target object with liquid as sensing medium, wherein the target object is vibrated by a vibrating module to deform;
dividing the acoustic emission signal into a plurality of signal segments, wherein the plurality of signal segments have a same time length;
performing a time-frequency transformation on the plurality of signal segments to generate a plurality of power spectrums of the plurality of signal segments;
performing an average calculation on the plurality of power spectrums to generate a power spectral density; and
adjusting or maintaining an operation parameter of the vibrating module according to a comparison result between a difference value and a default difference value, and outputting, by a transducer, a vibrating signal corresponding to the operation parameter to the vibrating module to vibrate the target object, wherein the difference value is a difference between a maximum value of the power spectral density and a set value, and
wherein adjusting or maintain the operation parameter of the vibrating module according to the comparison result between the difference value and the default difference value comprises: adjusting the operation parameter of the vibrating module when the difference value between the maximum value and the set value is not smaller than the default difference value, and maintaining the operation parameter of the vibrating module when the difference value between the maximum value and the set value is smaller than the default difference value.

### Claim 8 (depends on 7)

The monitoring method according to claim 7, wherein the set value is associated with the vibrating signal.

### Claim 9 (depends on 7)

The monitoring method according to claim 7, wherein adjusting the operation parameter of the vibrating module comprises:
performing a fuzzy inference on the difference value between the maximum value and the set value.

### Claim 10 (depends on 7)

The monitoring method according to claim 7, wherein the time-frequency transformation comprises Fourier transformation.

### Claim 11 (depends on 7)

The monitoring method according to claim 7, wherein two adjacent signal segments among the plurality of signal segments has an overlapping portion, a time length of the overlapping portion is half of the time length of each one of the plurality of signal segments.
