IP Library › Granted Patent US 10,928,455
Granted Patent B2
US 10,928,455 · App. 16/388,333 · Granted Feb 23, 2021

System and methods for fault diagnosis in machines

Inventors: Ali M. Bazzi (South Windsor, CT); Yiqi Liu (Storrs, CT); Bryan Davis (Nashua, NH)
Assignee: University of Connecticut
G01R31/343G01R31/50G01R19/25G01R31/346
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Quick Facts
Patent No.
US 10,928,455
App. No.
16/388,333
Granted
Feb 23, 2021
Kind
B2
Abstract

Systems and methods for fault detection and diagnosis in a machine. The method includes selecting fault characteristic frequencies of faults, implementing the fault characteristic frequencies as modulating signals, receiving a feedback signal from at least one sensor associated with a machine, applying active modulation using the modulating signals to the feedback signal to obtain modulated signals, and monitoring for a low-frequency fault indicative component from the modulated signals.

Claims (38)

1. A method for fault detection and diagnosis in a machine, the method comprising:

selecting one or more fault characteristic frequencies of one or more faults;

implementing the one or more fault characteristic frequencies as modulating signals in separate loops to diagnose the one or more faults simultaneously;

receiving a feedback signal from at least one sensor associated with a machine;

applying active modulation using each modulating signal to the feedback signal to obtain modulated signals; and

monitoring for low-frequency fault indicative components from the modulated signals,

wherein if a low-frequency fault indicative component is detected, transmitting a notification that a fault has been detected.

2. The method of claim 1 , wherein the machine is an induction machine.

3. The method of claim 2 , wherein the induction machine is an alternating current (AC) motor.

4. The method of claim 3 , further comprising receiving, via the at least one sensor, information on a motor speed of the AC motor.

5. The method of claim 1 , wherein the at least one sensor is a current sensor.

6. The method of claim 1 , wherein the low-frequency fault indicative component is a slowest component in a modulated signal.

7. The method of claim 1 , wherein the one or more faults is selected from a stator short winding fault (SSWF), a broken rotor bar fault (BRBF), an eccentricity fault (EF), or a bearing fault (BF).

8. The method of claim 1 , wherein monitoring for a low-frequency fault indicative component further comprises:

monitoring a time between a runtime and an instance of the last zero-crossing point; and

determining whether the time is larger than a threshold.

9. The method of claim 1 , further comprising transmitting the notification to an electronic user interface.

10. The method of claim 1 , further comprising controlling the machine when a fault is detected.

11. A system for fault detection and diagnosis in a machine, the system comprising:

a database holding a plurality of fault characteristic frequencies;

a controller communicatively coupled to the database and configured to:

select one or more fault characteristic frequencies of one or more faults from the plurality of fault characteristic frequencies;

implementing the one or more fault characteristic frequencies as modulating signals in separate loops to diagnose the one or more faults simultaneously;

receive a feedback signal from at least one sensor associated with a machine;

apply active modulation using each modulating signal to the feedback signal to obtain modulated signals; and

monitor for low-frequency fault indicative components from the modulated signals;

wherein if a low-frequency fault indicative component is detected, transmit a notification that a fault has been detected.

12. The system of claim 11 , wherein the machine is an induction machine.

13. The system of claim 12 , wherein the induction machine is an alternating current (AC) motor.

14. The system of claim 13 , the controller further configured to receive, via the at least one sensor, information on a motor speed from the AC motor.

15. The system of claim 11 , wherein the at least one sensor is a current sensor.

16. The system of claim 11 , wherein the low-frequency fault indicative component is a slowest component in the modulated signal.

17. The system of claim 11 , the controller further configured to select the one or more faults from a stator short winding fault (SSWF), a broken rotor bar fault (BRBF), an eccentricity fault (EF), and a bearing fault (BF).

18. The system of claim 11 , the controller further configured to monitor for a low-frequency fault indicative component by:

monitoring a time between a runtime and an instance of the last zero-crossing point; and

determining whether the time is larger than a threshold.

19. The system of claim 11 , the controller further configured to transmit the notification to a user interface.

20. The system of claim 11 , the controller further configured to control the machine when a fault is detected.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2019
From: BAZZI, ALI; LIU, YIQI; DAVIS, BRYAN
To: UNIVERSITY OF CONNECTICUT
Reel/Frame 049922/0613 →
Continuity (2)
Provisional Application 62660618 · Apr 20, 2018
Related Publication 20190324084A1 · Oct 24, 2019
Cited By (1)
US 12,361,771