IP Library › Granted Patent US 9,234,769
Granted Patent B2
US 9,234,769 · App. 13/478,654 · Granted Jan 12, 2016

Systems and methods for detecting small pattern changes in sensed data

Inventor: Hae-Bum Yun (Chuluota, FL)
Assignee: University of Central Florida Research Foundation, Inc.
G01D1/18
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Quick Facts
Patent No.
US 9,234,769
App. No.
13/478,654
Granted
Jan 12, 2016
Kind
B2
Abstract

In one embodiment, a system and a method involve receiving a raw signal collected by a sensor that pertains to a temporal trend, creating a reference signal of a known amplitude and frequency, adding the reference signal to the raw signal to form a modulated signal, decomposing the modulated signal to obtain a decomposed signal, and conducting time-frequency analysis on the decomposed signal to detect abnormal patterns.

Claims (29)

1. A method for detecting an environmental condition from sensed data, the method comprising:

monitoring a structure with a sensor to collect a raw signal that is generated by the structure and an environment in which the structure, the raw signal pertaining to a temporal trend of the structure and comprising an obfuscated event signal associated with a first environmental condition effecting the structure that has a small impact on the raw signal and a dominate sensor masking signal associated with a second environmental condition which obfuscates the first environmental condition;

modulating the raw signal with a reference signal to the raw signal to form a modulated signal that comprises the obfuscated event signal, the reference signal being a signal with a user-defined frequency;

decomposing the modulated signal to obtain a decomposed signal;

conducting time-frequency analysis on the decomposed signal to detect the obfuscated event signal and, thereby, the first environmental condition effecting the structure; and

interpreting the obfuscated event signal to identify the nature of the first environmental condition effecting the structure.

2. The method of claim 1 , wherein the raw data comprises displacement data or temperature data that quantifies displacement or temperature of the monitored structure over a period of time.

3. The method of claim 1 , wherein the reference signal comprises one of a sinusoidal, sine-sweep, beating, square, sawtooth, or broadband random function.

4. The method of claim 1 , wherein the modulating comprises physically modulating a mechanical actuator using the reference signal.

5. The method of claim 1 , wherein the modulating comprises synthetically mixing the reference signal with the raw signal using a computer.

6. The method of claim 1 , wherein the decomposing of the modulated signal comprises performing a non-stationary decomposition technique on the modulated signal.

7. The method of claim 6 , wherein the non-stationary decomposition technique comprises wavelet decomposition (WD) or empirical mode decomposition (EMD).

8. The method of claim 1 , wherein conducting time-frequency analysis comprises processing the decomposed signal using Hilbert-Huang transformation (HHT).

9. A non-transitory computer-readable medium that stores an auto-modulating pattern (AMP) detection algorithm, the computer-readable medium comprising:

logic configured to modulate a raw signal with a reference to form a modulated signal, the raw signal collected by a sensor associated with a structure and generated by the structure and an environment in which the structure exists, the raw signal pertaining to a temporal trend of the structure and comprising an obfuscated event signal associated with a first environmental condition effecting the structure that has a small impact on the raw signal and a dominate sensor masking signal associated with a second environmental condition which obfuscates the first environmental condition, wherein the modulated signal comprises the obfuscated event signal and wherein the reference signal being a signal having a user-defined frequency;

logic configured to decompose the modulated signal to obtain a decomposed signal; and

logic configured to conduct time-frequency analysis on the decomposed signal to detect the obfuscated event signal and, thereby, the first environmental condition effecting the structure.

10. The computer-readable medium of claim 9 , wherein the logic configured to add a reference signal is configured to add one of a sinusoidal, sine-sweep, beating, square, sawtooth, or broadband random function to the raw signal.

11. The computer-readable medium of claim 9 , wherein the logic configured to modulate the raw signal with the reference signal is configured to synthetically mix the reference signal with the raw signal.

12. The computer-readable medium of claim 9 , wherein the logic configured to decompose the modulated signal comprises logic configured to perform a non-stationary decomposition technique.

13. The computer-readable medium of claim 12 , wherein the logic configured to perform non-stationary decomposition technique comprises logic configured to perform wavelet decomposition (WD) or empirical mode decomposition (EMD) on the modulated signal.

14. The computer-readable medium of claim 9 , wherein the logic configured to conduct time-frequency analysis comprises logic configured to process the decomposed signal using Hilbert-Huang transformation (HHT).

15. The computer-readable medium of claim 9 , further comprising logic configured to interpret the obfuscated event signal and identify the nature of the environmental condition effecting the structure.

16. An auto-modulating pattern (AMP) sensor, comprising:

a sensor element to collect a raw signal from a structure that is generated by the structure and an environment in which the structure exists, the raw signal pertaining to a temporal trend of the structure and comprising an obfuscated event signal associated with a first environmental condition effecting the structure that has a small impact on the raw signal and a dominate sensor masking signal associated with a second environmental condition which obfuscates the first environmental condition; and

a processing device that is embedded with an AMP detection algorithm, the algorithm being configured to modulate the raw signal with a reference to form a modulated signal that comprises the obfuscated event signal, to decompose the modulated signal to obtain a decomposed signal, and to conduct time-frequency analysis on the decomposed signal to detect the obfuscated event signal and, thereby, the environmental condition effecting the structure wherein the reference signal being a signal with a user-defined frequency.

17. The sensor of claim 16 , wherein the sensor element is configured to measure displacement.

18. The sensor of claim 16 , wherein the sensor element is configured to measure temperature.

19. The sensor of claim 16 , further comprising a communication unit with which the sensor can communicate data to a remote computing device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 12, 2012
From: YUN, HAE-BUM
To: UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC.
Reel/Frame 028358/0049 →
Continuity (2)
Provisional Application 61489855 · May 25, 2011
Related Publication 20120303312A1 · Nov 29, 2012