Techniques for monitoring gear condition

• US 9,863,845 B2
• Filed: 05/21/2014
• Issued: 01/09/2018
• Est. Priority Date: 05/21/2013
• Status: Active Grant

• Current Assignee: Konecranes Global Corporation (Konecranes Terex Plc)
• Original Assignee: Konecranes Global Corporation (Konecranes Terex Plc)
• Inventors: Mesi, Heikki, Kerovuori, Juhani, Harra, Ilkka, Jantunen, Aapo, Salomki, Janne
• Primary Examiner(s): Luo, David S
• Application Number:
  US14/892,916
• Publication Number:
  US 20160091394A1
• Time in Patent Office: 1,329 Days
• Field of Search: 318 34, 318 12, 318 3
• CPC Class Codes: G01H 1/006 of the rotor of turbo machines
• CPC Class Codes: G01M 13/021 Gearings
• CPC Class Codes: G01P 3/44 for measuring angular speed G01P3/56 takes precedence
• CPC Class Codes: H02P 29/032 Preventing damage to the motor, e.g. setting individual current limits for different drive conditions

Abstract

Method/apparatus for performing the following acts on a system that includes an electrical motor followed by a gear, and a speed output unit: monitoring a first set of frequencies from the system over a measurement period when the system is in a known good operating condition; storing the first set of monitored frequencies or derivatives thereof as reference data in a long-term storage system; monitoring a second set of frequencies from the system over a measurement period when the system is in an unknown operating condition; comparing the second set of monitored frequencies with the first set of monitored frequencies in a frequency domain; in the frequency domain, detecting changes between corresponding frequencies resulting from the second set of monitored frequencies and the first set of monitored frequencies.

Claims

1. A method comprising performing the following steps with respect to a system that comprises an electrical motor and a speed output unit, and the electrical motor is followed by a gear, wherein the following acts are performed by a data processing system operationally coupled to the system:

monitoring a first set of frequencies from the system over a measurement period when the system is in a known good operating condition;

storing the first set of monitored frequencies or derivatives thereof as reference data in a long-term storage system;

monitoring a second set of frequencies from the system over a measurement period when the system is in an unknown operating condition;

comparing the second set of monitored frequencies with the first set of monitored frequencies in a frequency domain; and

in the frequency domain, detecting changes between corresponding frequencies resulting from the second set of monitored frequencies and the first set of monitored frequencies,

wherein the electrical motor is driven by a motor drive, and the electrical motor and the motor drive are in a closed-loop configuration,

wherein the motor drive utilizes a closed-loop speed feedback signal for controlling the electrical motor and the motor drive in the closed-loop configuration, and wherein at least some of the monitored frequencies are obtained from the closed-loop speed feedback signal or its derivative, and

wherein the closed-loop speed feedback signal or its derivative comprises a rotational speed information of the electric motor, wherein the rotational speed information is sampled at equal intervals.

2. The method according to claim 1, further comprising indicating an alert condition if at least one detected change between the corresponding frequencies exceeds a predetermined threshold.

3. The method according to claim 1, further comprising indicating an alert condition if at least one detected change between the corresponding frequencies exceeds an average change computed over several other changes.

4. The method according to claim 1, further comprising scaling the frequencies to a common frequency if the frequency peaks were obtained at different speeds.

5. The method according to claim 1, further comprising maintaining data that indicates a set of predictor frequencies at which the detected changes correlate with wear better than at randomly selected frequencies.

6. The method according to claim 5, further comprising weighting changes at the predictor frequencies more strongly than changes at other frequencies.

7. The method according to claim 1, further comprising increasing a rate of monitoring the second set of frequencies in response to one or more of said changes meeting a set of significance criteria.

8. The method according to claim 1, wherein said comparing the sets of monitored frequencies comprises a cepstrum conversion of each of the first and second set of monitored frequencies.

9. The method according to claim 1, wherein said monitoring the first and second set of frequencies comprises monitoring a set value and an actual value of the electrical motor in the closed-loop configuration.

10. The method according to claim 1, wherein the monitored sets of frequencies comprise frequency peaks in the frequency domain.

11. A data processing system comprising:

a memory system for storing program code instructions and data;

a processing system including at least one processor, wherein the processing system executes at least a portion of the program code instructions and processes the data; and

a connection to a system comprising at least a speed output unit and an electrical motor;

wherein the memory system stores program code instructions that, when executed by the at least one processor, instruct the at least one processor to perform the following steps;

monitoring a first set of frequencies from the system over a measurement period when the system is in a known good operating condition;

storing the first set of monitored frequencies or derivatives thereof as reference data in a long-term storage system;

monitoring a second set of frequencies from the system over a measurement period when the system is in an unknown operating condition;

comparing the second set of monitored frequencies with the first set of monitored frequencies in a frequency domain; and

in the frequency domain, detecting changes between corresponding frequencies resulting from the second set of monitored frequencies and the first set of monitored frequencies,

wherein the electrical motor is driven by a motor drive, and the electrical motor and the motor drive are in a closed-loop configuration,

wherein the motor drive utilizes a closed-loop speed feedback signal for controlling the electrical motor and the motor drive in the closed-loop configuration, and wherein at least some of the monitored frequencies are obtained from the closed-loop speed feedback signal or its derivative, and

wherein the closed-loop speed feedback signal or its derivative comprises a rotational speed information of the electric motor, wherein the rotational speed information is sampled at equal intervals.

12. The data processing system according to claim 11, wherein the at least one processor further indicates an alert condition if at least one detected change between the corresponding frequencies exceeds a predetermined threshold.

13. The data processing system according to claim 11, wherein the at least one processor further indicates an alert condition if at least one detected change between the corresponding frequencies exceeds an average change computed over several other changes.

14. The data processing system according to claim 11, wherein the at least one processor further scales the frequencies to a common frequency if the frequency peaks were obtained at different speeds.

15. The data processing system according to claim 11, wherein the at least one processor further maintains data that indicates a set of predictor frequencies at which the detected changes correlate with wear better than at randomly selected frequencies.

16. The data processing system according to claim 15, wherein the at least one processor further weights changes at the predictor frequencies more strongly than changes at other frequencies.

17. The data processing system according to claim 11, wherein the at least one processor further increases a rate of monitoring the second set of frequencies in response to one or more of said changes meeting a set of significance criteria.

18. The data processing system according to claim 11, wherein said comparing the sets of monitored frequencies comprises a cepstrum conversion of each of the first and second set of monitored frequencies.

19. The data processing system according to claim 11, wherein said monitoring the first and second set of frequencies comprises monitoring a set value and an actual value of the electrical motor in the closed-loop configuration.

20. The data processing system according to claim 11, wherein the monitored sets of frequencies comprise frequency peaks in the frequency domain.