SYSTEM AND METHOD FOR BLIND FAULT DETECTION FOR ROTATING MACHINERY

• US 20130207810A1
• Filed: 02/13/2012
• Published: 08/15/2013
• Est. Priority Date: 02/13/2012
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Kar, Chinmaya, Sadana, Rajat, Mukherjee, Joydeb
• Granted Patent: US 8,963,733 B2
• Time in Patent Office: Days
• US Class Current: 340/686.3
• CPC Class Codes: G01M 13/02 Gearings; Transmission mechanisms
• CPC Class Codes: G01M 13/021 Gearings
• CPC Class Codes: G01M 13/028 Acoustic or vibration analysis
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis

Abstract

A system includes more sensors configured to measure one or more characteristics of rotating equipment and a blind fault detection device. The blind fault detection device includes an input interface configured to receive at least one input signal from the one or more sensors. The blind fault detection device also includes a processing unit configured to identify a fault in the rotating equipment using the at least one input signal. The blind fault detection device further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by determining at least one family of frequencies related to at least one sensor point, determining an average energy for the at least one sensor point based on the at least one family of frequencies, and comparing the average energy to a baseline value.

Claims

1. An apparatus comprising:

an input interface configured to receive an input signal associated with at least one stage of rotating equipment;

a processing unit configured to identify a fault in the rotating equipment using the input signal; and

an output interface configured to provide an indicator identifying the fault;

wherein the processing unit is configured to identify the fault by;

determining at least one family of frequencies related to at least one sensor point;

determining an average energy for the at least one sensor point based on the at least one family of frequencies; and

comparing the average energy to a baseline value.

2. The apparatus of claim 1, wherein the processing unit is configured to identify the fault by identifying a fault associated with a point of the rotating equipment at which a sensor is located.

3. The apparatus of claim 1, wherein the processing unit is configured to identify the fault by identifying a fault associated with an orientation, the orientation associated, with a sensor and comprising one of:

a vertical orientation;

a horizontal orientation, and an axial orientation.

4. The apparatus of claim 1, wherein the input signal comprises a signal related to at least one of:

a synchronous energy, a non-synchronous energy, and a shaft energy of the rotating equipment.

5. The apparatus of claim 1, wherein the processing unit is further configured to normalize the average energy with respect to the baseline value.

6. The apparatus of claim 5, wherein the processing unit is further configured to apply at least one of a rule-based fault detection process and a fuzzy rule-based fault detection process to the normalized average energy.

7. The apparatus of claim 1, wherein the processing unit is further configured to determine the average energy for a plurality of orientations at each of a plurality of points.

8. A system comprising:

one or more sensors configured to measure one or more characteristics of rotating equipment; and

a blind fault detection device comprising;

an input interface configured to receive at least one input signal from the one or more sensors;

a processing unit configured to identify a fault in the rotating equipment using the at least one input signal; and

an output interface configured to provide an indicator identifying the fault;

wherein the processing unit is configured to identify the fault by;

determining at least one family of frequencies related to at least one sensor point;

determining an average energy for the at least one sensor point based on the at least one family of frequencies; and

comparing the average energy to a baseline value.

9. The system of claim 8, wherein the processing unit is configured to identify the fault by identifying a fault associated with a point of the rotating equipment at which the at least one sensor is located.

10. The system of claim 8, wherein the processing unit is configured to identify the fault by identifying a fault associated with an orientation, the orientation associated with a sensor and comprising one of:

a vertical orientation, a horizontal orientation, and an axial orientation.

11. The system of claim 8, wherein the input signal comprises a signal related to at least one of:

a synchronous energy, a non-synchronous energy, and a shaft energy of the rotating equipment.

12. The system of claim 8, wherein the processing unit is further configured to normalize the average energy with respect to the baseline value.

13. The system of claim 12, wherein the processing unit is further configured to apply at least one of a rule-based fault detection process and a fuzzy rule-based fault detection process to the normalized average energy.

14. The system of claim 8, wherein the processing unit is further configured to determine the average energy for a plurality of orientations at each of a plurality of points.

15. A method comprising:

receiving an input signal associated with at least one stage of rotating equipment;

identifying a fault in the rotating equipment using the input signal; and

providing an indicator identifying the fault;

wherein identifying the fault comprises;

determining at least one family of frequencies related to at least one sensor point;

determining an average energy for the at least one sensor point based on the at least one family of frequencies; and

comparing the average energy to a baseline value.

16. The method of claim 15, wherein identifying the fault comprises identifying a fault associated with a point of the rotating equipment at which a sensor is located.

17. The method of claim 15, wherein identifying the fault comprises identifying a fault associated with an orientation, the orientation associated with a sensor and comprising one of:

a vertical orientation, a horizontal orientation, and an axial orientation.

18. The method of claim 15, further comprising:

normalizing the average energy with respect to the baseline value; and

applying at least one of a rule-based fault detection technique and a fuzzy rule-based fault detection technique to the normalized average energy.

19. The method of claim 15, wherein the input signal comprises a signal related to at least one of:

a synchronous energy, a non-synchronous energy, and a shaft energy of the rotating equipment.

20. The method of claim 15, wherein identifying the fault comprises determining the average energy for a plurality of orientations at each of a plurality of points.