Apparatus and method for estimating rotational speed of gear box based on vibration signal

Patent metadata

Field	Value
Publication number	US-2025123182-A1
Application number	US-202418917100-A
Country	US
Kind code	A1
Filing date	Oct 16, 2024
Priority date	Oct 17, 2023
Publication date	Apr 17, 2025
Grant date	—

Abstract

According to one embodiment of the present disclosure, a speed estimation apparatus may include a converter configured to convert a vibration signal acquired from a gear box into time-frequency representation (TFR), and a generator configured to select a first vertex at a first unit time, based on an energy value of each vertex in the TFR, and to generate information on an operating speed of a machine including the gear box by connecting the first vertex to a second vertex located at a second unit time.

First claim

What is claimed is:

1 . A speed estimation apparatus comprising:
a converter configured to convert a vibration signal acquired from a gear box into time-frequency representation (TFR); and a generator configured to select a first vertex at a first time unit, based on an energy value of a vertex in the TFR, and to generate speed information on the gear box by connecting the first vertex to a second vertex located at a second unit time.

2 . The speed estimation apparatus of claim 1 , wherein the generator sets a selectable region for the first vertex and the second vertex in the TFR by using a gear mesh frequency (GMF) of the gear box, based on a speed signal measured in the gear box.

3 . The speed estimation apparatus of claim 2 , wherein the generator selects a vertex having the greatest energy value from the vertices located at the first unit time within the selectable region, as the first vertex.

4 . The speed estimation apparatus of claim 2 , wherein the generator derives a weighted value for a line segment connecting two vertices in the TFR, based on at least one of an energy value of each vertex located within the selectable region and a preset acceleration tolerance, and selects the second vertex from the vertices located at the second unit time within the selectable region, based on the weighted value.

5 . The speed estimation apparatus of claim 4 , wherein the generator selects vertices having an energy value greater than a first threshold from the vertices located at the second unit time within the selectable region, as candidate vertices for the second vertex, based on the weighted value.

6 . The speed estimation apparatus of claim 5 , wherein the generator selects candidate vertices located within the acceleration tolerance from the candidate vertices as candidate vertices for the second vertex, based on the weighted value.

7 . The speed estimation apparatus of claim 6 , wherein the generator selects a vertex having an energy value in which a difference between the energy value of the first vertex and the energy value of the second vertex is smaller than a second threshold, from the candidate vertices located within the acceleration tolerance, as the second vertex, based on the weighted value.

8 . The speed estimation apparatus of claim 1 , wherein the generator generates each speed information on component signals of the vibration signal by repeating a process of connecting vertices in the TFR, and generates a speed profile by adding each generated speed information.

9 . The speed estimation apparatus of claim 8 , wherein the generator changes the energy value of the vertex selected during a process of generating the speed information on a first component signal in the component signals and a vertex adjacent to the selected vertex, and thereafter, generates speed information on a second component signal, based on the changed energy value.

10 . The speed estimation apparatus of claim 8 , wherein the generator analyzes a correlation between the respective speed information, and generates the speed profile by excluding the speed information on the component signal having a correlation equal to or smaller than a threshold.

11 . A speed estimation method comprising:
converting a vibration signal acquired from a gear box into time-frequency representation (TFR); selecting a first vertex at a first unit time, based on an energy value of a vertex in the TFR; and generating speed information on the gear box by connecting the first vertex to a second vertex located at a second unit time.

12 . The speed estimation method of claim 11 , further comprising:
setting a selectable region for the first vertex and the second vertex in the TFR by using a gear mesh frequency (GMF) of the gear box, based on a speed signal measured in the gear box, after the converting.

13 . The speed estimation method of claim 12 , wherein the selecting includes selecting a vertex having a greatest energy value from vertices located at the first unit time within the selectable region, as the first vertex.

14 . The speed estimation method of claim 12 , wherein the selecting includes deriving a weighted value for a line segment connecting two vertices in the TFR, based on at least one of an energy value of each vertex located within the selectable region and a preset acceleration tolerance, and selecting the second vertex from the vertices located at the second unit time within the selectable region, based on the weighted value.

15 . The speed estimation method of claim 14 , wherein the selecting includes selecting candidate vertices having an energy value greater than a first threshold and located within the acceleration tolerance from the vertices located at the second unit time within the selectable region, as the candidate vertices for the second vertex, based on the weighted value.

16 . The speed estimation method of claim 15 , wherein the selecting includes selecting a vertex having an energy value in which a difference between the energy value of the first vertex and the energy value of the second vertex is smaller than a second threshold, from the candidate vertices, as the second vertex, based on the weighted value.

17 . The speed estimation method of claim 11 , wherein the generating includes generating each speed information on component signals of the vibration signal by repeating a process of connecting vertices in the TFR, and generating a speed profile by adding each generated speed information.

18 . The speed estimation method of claim 17 , wherein generating the speed information on the component signals of the vibration signal includes changing the energy value of the vertex selected during a process of generating the speed information on a first component signal in the component signals and a vertex adjacent to the selected vertex, and generating speed information on a second component signal, based on the changed energy value.

19 . The speed estimation method of claim 17 , wherein generating the speed profile includes analyzing a correlation between the respective speed information, and excluding the speed information on the component signal having a correlation equal to or smaller than a threshold.

20 . A computer-readable medium storing a computer program including a command that causes a processor to execute a process for a speed estimation method, the process comprising:
converting a vibration signal acquired from a gear box into time-frequency representation (TFR); selecting a first vertex at a first unit time, based on an energy value of a vertex in the TFR; and generating the speed information on the gear box by connecting the first vertex to a second vertex located at a second unit time.

Assignees

• Hd Hyundai Infracore Co Ltd
• Seoul Nat Univ R&Db Foundation

Inventors

• Kim Keon
• Youn Byeng Dong
• Na Kyumin
• Lee Jinwook
• Yoo Jinoh

Classifications

• G01M13/028 Primary

  Acoustic or vibration analysis · CPC title

• G01M13/021

  Gearings · CPC title

• G01P3/02 Primary

  Devices characterised by the use of mechanical means · CPC title

• G06F17/17

  Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method ({G06F17/18 takes precedence } ; interpolation for numerical control G05B19/18) · CPC title

• G06F17/18

  for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title