ASSET-SPECIFIC EQUIPMENT HEALTH MONITORING (EHM) FOR INDUSTRIAL EQUIPMENT USING STANDARDIZED ASSET MODELS

• US 20120188073A1
• Filed: 01/24/2011
• Published: 07/26/2012
• Est. Priority Date: 01/24/2011
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Sadana, Rajat
• Granted Patent: US 8,896,437 B2
• Time in Patent Office: Days
• US Class Current: 340/539.1
• CPC Class Codes: F01D 21/003 Arrangements for testing or measuring for measuring vibrations G01H
• CPC Class Codes: F02C 9/00 Controlling gas-turbine plants; Controlling fuel supply in air- breathing jet-propulsion plants controlling air intakes F02C7/057; controlling turbines F01D; controlling compressors F04D27/00; controlling in general G05
• CPC Class Codes: F05D 2260/80 Diagnostics
• CPC Class Codes: F05D 2270/70 Type of control algorithm

Abstract

A system includes at least one sensor and an equipment health monitoring (EHM) unit. The at least one sensor is configured to measure one or more characteristics of an asset, where the asset includes a piece of equipment. The EHM unit includes at least one sensor interface configured to receive at least one input signal associated with the asset from the sensor(s). The EHM unit also includes at least one processing unit operable to be pre-configured to identify a specified fault in the asset using the input signals and an asset-specific model that includes a combination of standard subsystem models. The EHM unit further includes at least one output interface configured to provide an indicator identifying the fault. The standard subsystem models could include standardized fault models configured to identify faults for standard assets.

Claims

1. An apparatus comprising:

at least one input interface configured to receive at least one input signal associated with an asset, the asset comprising a piece of equipment;

at least one processing unit operable to be pre-configured to identify a specified fault in the asset using the at least one input signal and an asset-specific model that comprises a combination of standard subsystem models; and

at least one output interface configured to provide an indicator identifying the fault.

2. The apparatus of claim 1, further comprising:

a housing configured to hold the at least one input interface, the at least one processing unit, and the at least one output interface.

3. The apparatus of claim 1, further comprising:

at least one memory unit configured to store the asset-specific model.

4. The apparatus of claim 3, wherein the standard subsystem models comprise standardized fault models configured to identify faults for standard assets.

5. The apparatus of claim 1, wherein the at least one input signal comprises raw data from at least one sensor.

6. The apparatus of claim 1, wherein the at least one output interface is configured to transmit the indicator identifying the fault to a remote device via a wireless interface.

7. The apparatus of claim 1, wherein the asset comprises one of:

a pump, a compressor, a turbine, a fan, a motor, an agitator, and a transformer.

8. A system comprising:

at least one sensor configured to measure one or more characteristics of an asset, the asset comprising a piece of equipment; and

an equipment health monitoring (EHM) unit comprising;

at least one sensor interface configured to receive at least one input signal associated with the asset from the at least one sensor;

at least one processing unit operable to be pre-configured to identify a specified fault in the asset using the at least one input signal and an asset-specific model that comprises a combination of standard subsystem models; and

at least one output interface configured to provide an indicator identifying the fault.

9. The system of claim 8, wherein the EHM unit further comprises a housing configured to hold the at least one input interface, the at least one processing unit, and the at least one output interface.

10. The system of claim 8, wherein the EHM unit further comprises at least one memory unit configured to store the asset-specific model.

11. The system of claim 10, wherein the standard subsystem models comprise standardized fault models configured to identify faults for standard assets.

12. The system of claim 8, wherein the at least one output interface is configured to transmit the indicator identifying the fault to a remote device via a wireless interface.

13. The system of claim 8, wherein the asset comprises one of:

a pump, a compressor, a turbine, a fan, a motor, an agitator, and a transformer.

14. The system of claim 8, wherein the EHM unit further comprises at least one memory unit configured to store software or firmware instructions executed by the at least one processing unit, the software or firmware instructions configured to identify the specified fault in the asset using the at least one input signal.

15. The system of claim 8, wherein the at least one sensor comprises at least one accelerometer.

16. A method comprising:

pre-configuring an equipment health monitoring (EHM) unit with an asset-specific model that comprises a combination of standard subsystem models that model an asset, the asset comprising a piece of equipment;

receiving at least one input signal comprising measurement data associated with the asset;

analyzing the at least one input signal to determine if a specified fault has occurred; and

outputting an indicator identifying the specified fault when it is determined that the specified fault has occurred.

17. The method of claim 16, wherein outputting the indicator comprises wirelessly transmitting the indicator to a remote device.

18. The method of claim 17, further comprising:

wirelessly transmitting additional asset-related information along with the indicator.

19. The method of claim 16, wherein the standard subsystem models comprise standardized fault models configured to identify faults for standard assets.

20. The method of claim 16, wherein the asset comprises one of:

a pump, a compressor, a turbine, a fan, a motor, an agitator, and a transformer.