System and method for detecting fault in an AC machine

• US 8,405,339 B2
• Filed: 07/01/2010
• Issued: 03/26/2013
• Est. Priority Date: 07/01/2010
• Status: Active Grant

• Current Assignee: Eaton Intelligent Power Limited (Eaton Corporation PLC.)
• Original Assignee: Eaton Corp. (Wisconsin) (Eaton Corporation PLC.)
• Inventors: Zhang, Pinjia, Lu, Bin, Habetler, Thomas G.
• Primary Examiner(s): Benson, Walter
• Assistant Examiner(s): CARRASQUILLO, JORGE L
• Application Number:
  US12/829,205
• Publication Number:
  US 20120001580A1
• Time in Patent Office: 999 Days
• Field of Search: 318/798, 318/806, 318/490, 324/545, 324/76.77, 324/765.01, 324/86, 324/76.11, 324/76.19, 702/57, 702/58, 702/185, 702/60, 702/115, 361/23, 361/30, 361/31, 361/820, 361/761, 361/775, 361/78, 700/286, 340/679, 706/20, 706/912, 257/678, 257/691
• US Class Current: 318/490
• CPC Class Codes: G01R 31/343 in operation

Abstract

A system and method for detecting a rotor fault condition in an AC induction machine is disclosed. The system includes a processor programmed to receive voltage and current data from an AC induction machine, generate a current frequency spectrum from the current data, and identify rotor-fault related harmonics in the current frequency spectrum. The processor is also programmed to calculate a fault severity indicator using the voltage and current data, identified rotor-fault related harmonics, and motor specifications, analyze the fault severity indicator to determine a possibility of rotor fault. The processor generates an alert based on the possibility of rotor fault.

Claims

1. A controller configured to detect a rotor fault condition, the controller having a processor programmed to:

receive voltage and current data from an AC induction machine;

generate a current frequency spectrum from the current data;

identify rotor-fault related harmonics in the current frequency spectrum;

calculate a fault severity indicator using the voltage and current data, identified rotor-fault related harmonics, and motor specifications;

analyze the fault severity indicator to determine a possibility of rotor fault; and

generate an alert based on the possibility of rotor fault.

2. The controller of claim 1 wherein the processor is programmed to identify a lower rotor-fault related harmonic and an upper rotor-fault related harmonic in the current frequency spectrum.

3. The controller of claim 1 wherein the processor is programmed to calculate the fault severity indicator using motor nameplate information, motor size, and a number of rotor bars in the AC induction machine.

4. The controller of claim 1 wherein the processor is programmed to analyze the fault severity indicator using a fuzzy decision-making system.

5. The controller of claim 4 wherein the processor is programmed to:

identify a maximum expected fault severity for a healthy machine;

identify a minimum expected fault severity for an unhealthy machine; and

determine the possibility of a rotor fault based on the calculated fault severity indicator, the maximum expected fault severity, and the minimum expected fault severity.

6. The controller of claim 5 wherein the processor is programmed to generate the alert if the possibility of a rotor fault is greater than a threshold.

7. The controller of claim 4 wherein the processor is further programmed to apply an adaptive filter to reduce noise in the calculated fault severity indicator.

8. The controller of claim 4 wherein the processor is further programmed to:

calculate a plurality of fault severity indices over a period of motor operation; and

define the fault severity indicator based on the plurality of fault severity indices.

9. The controller of claim 8 wherein the processor is programmed to calculate a given fault severity index using

10. A method of detecting a rotor fault in an induction machine, the method comprising:

accessing current and voltage data during operation of an AC induction machine;

performing a frequency spectrum analysis on the current data to generate a current frequency spectrum;

generating a plurality of fault index samples from the current frequency spectrum over a period of operation of the AC induction machine;

determining a rotor fault probability based on the plurality of fault index samples; and

outputting a rotor fault indicator based on the determined rotor fault probability.

11. The method of claim 10 wherein generating the plurality of fault index samples comprises:

identifying a pair of fault-related harmonics in the current frequency spectrum;

determining a current magnitude at each harmonic of the pair of fault-related harmonics;

determining a current magnitude at fundamental frequency; and

determining a no-load current magnitude.

12. The method of claim 11 comprising calculating the plurality of fault index samples based on the current magnitudes at the pair of fault-related harmonics, the current magnitude at fundamental frequency, the no-load current magnitude, a number of rotor bars of the AC induction machine, and a power factor of the AC induction machine.

13. The method of claim 10 comprising generating the plurality of fault index samples based on current and voltage data acquired at pre-determined intervals during machine operation.

14. The method of claim 10 further comprising:

setting a rotor fault probability threshold;

comparing the determined rotor fault probability to the rotor fault probability threshold; and

if the determined rotor fault probability is greater than the rotor fault probability threshold, then generating an alarm signal.

15. The method of claim 10 comprising applying fuzzy logic to determine the rotor fault probability.

16. The method of claim 10 wherein outputting the rotor fault indicator comprises displaying an indicator representative of a magnitude of the determined rotor fault probability.

17. A computer readable storage medium having stored thereon a computer program comprising instructions which, when executed by at least one processor, cause the at least one processor to:

receive a plurality of voltage and current measurements from a sensor system coupled to an AC induction motor;

analyze the plurality of current measurements to identify rotor fault harmonics therein;

calculate a plurality of fault severity indices based on the rotor fault harmonics;

define a fault severity indicator from the plurality of fault severity indices;

compare the fault severity indicator to a predetermined fault severity threshold; and

output a fault possibility based on the comparison of the fault severity indicator to the predetermined fault severity threshold.

18. The computer readable storage medium of claim 17 wherein the instructions further cause the at least one processor to generate a fault indicator if the fault possibility is greater than a threshold.

19. The computer readable storage medium of claim 17 wherein the instructions cause the at least one processor to output one of a visual and an audible signal indicating a severity of the fault possibility.

20. The computer readable storage medium of claim 17 wherein the instructions cause the at least one processor to calculate the plurality of fault severity indices based on current magnitudes at the identified rotor fault harmonics, a current magnitude at fundamental frequency, a no-load current magnitude, a number of rotor bars of the AC induction motor, and a power factor of the AC induction motor.