User interface system and method for diagnosing a rotating machine condition not based upon prior measurement history

• US 8,478,548 B2
• Filed: 01/15/2010
• Issued: 07/02/2013
• Est. Priority Date: 01/15/2010
• Status: Active Grant

• Current Assignee: Fluke Corporation (Fortive Corp.)
• Original Assignee: Fluke Corporation (Fortive Corp.)
• Inventors: Hudson, Eric, Namli, Demet, Peterson, Rand, Ferrante, Joseph
• Primary Examiner(s): Barbee, Manuel L
• Application Number:
  US12/688,736
• Publication Number:
  US 20110178737A1
• Time in Patent Office: 1,264 Days
• Field of Search: 702 34- 36, 702/39, 702/56, 702182-185, 735/87, 735/93
• US Class Current: 702/36
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01M 13/028 Acoustic or vibration analysis
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G01M 99/005 Testing of complete machines, e.g. washing-machines or mobile phones testing of machine parts G01M13/00; testing of electric apparatus or components G01R31/50
• CPC Class Codes: G05B 23/0245 based on a qualitative model, e.g. rule based; if-then decisions

Abstract

A vibration data collection and rotating machinery fault diagnostic instrument includes a machine setup engine, a measurement engine, a diagnostic engine, a measurement user interface module, a machine setup user interface module, and a diagnostic user interface module. The machine setup engine requests and receives parameters about the machinery through the machine setup user interface module. The measurement engine requests and receives sensor placement locations through the measurement user interface module and keeps track of locations that have been measured and locations that still need to be measured. The diagnostic engine diagnoses machinery faults and presents the information to the user through the diagnostic user interface module using an intuitive graphical severity scale.

Claims

1. An instrument for measuring vibration and diagnosing rotating machinery faults, comprising:

a machine setup engine configured to request and receive parameters about a machine from a user;

a measurement engine configured to request and receive placement and orientation information for a vibration sensor relative to the machine and to track locations where sensor measurements have been completed;

a data acquisition engine configured to receive data from the vibration sensor;

a diagnostic engine configured to receive the data from the data acquisition engine and apply a rule set to the data to (1) diagnose machinery faults, and (2) determine a severity of the machinery faults; and

a measurement user interface coupled to the measurement and diagnostic engines and configured to graphically show at least one of (1) the sensor placement and orientation relative to the machine, (2) locations identified by the user where measurements with the sensor have been taken, and (3) locations identified by the user where measurements with the sensor still need to be taken,

wherein the diagnostic engine diagnoses the machinery faults based on data supplied by the sensor to the data acquisition engine and the parameters about the machine, rather than on previously taken vibration measurement monitoring data.

2. The instrument of claim 1, wherein the data acquisition module is further configured to measure shaft speed directly from a tachometer coupled to the machine.

3. The instrument of claim 1, wherein the sensor comprises a triaxial accelerometer.

4. The instrument of claim 1, wherein the sensor comprises a single axis accelerometer.

5. The instrument of claim 1, wherein the measurement user interface is configured to show a severity scale and a severity indicator located on the severity scale is configured to indicate a level of severity for each diagnosed machinery fault.

6. The instrument of claim 5, further comprising a textual explanation of the level of severity.

7. The instrument of claim 5, wherein the severity scale is a continuous scale divided into a plurality of severity categories, and each severity category is color-coded.

8. The instrument of claim 7, wherein a green color-code on the severity scale indicates a slight problem, a yellow color-code on the severity scale indicates a moderate problem, an orange color-code on the severity scale indicates a serious problem, and a red color-code on the severity scale indicates an extreme problem.

9. The instrument of claim 7, wherein the slight severity category means no maintenance action is recommended, the machinery should be retested, and the condition of the machinery be monitored after routine maintenance;

the moderate severity category means maintenance action is recommended to be undertaken up to months, or even up to a year, later, a frequency of measurements should be increased, and the condition of the machine should be monitored;

the serious severity category means maintenance action is recommended within the next few weeks, and maintenance action should be performed during the next planned downtime or maintenance period; and

the extreme severity category means immediate maintenance action is required, the machinery should be shut down, and repair action should be undertaken immediately to avoid system failure.

10. The instrument of claim 1, further comprising a digital signal processor configured to convert time domain vibration sensor data from the sensor to frequency domain data.

11. The instrument of claim 1, wherein the machine setup engine comprises a machine setup user interface configured to request and receive gearing parameters.

12. The instrument of claim 11, wherein the machine setup user interface is configured to request and receive at least one of shaft speed, gear ratio, and gear tooth count.

13. The instrument of claim 11, wherein the machine setup user interface is configured to request and receive a type of bearing that is used in the gearing.

14. The instrument of claim 11, wherein the machine setup user interface is configured to request and receive a number of speed changers used in the gearing.

15. A method of diagnosing faults of a rotating machine including a gearbox, comprising:

requesting and receiving information by a diagnostic instrument about a number of speed changers used in the gearbox;

requesting information by the diagnostic instrument about at least one parameter of the gearbox including shaft speed, gear ratio, or gear tooth count;

if a user selects shaft speed, receiving input shaft speed and output shaft speed of the gearbox by the diagnostic instrument;

if the user selects gear ratio, receiving a gear ratio between the input and the output of the gearbox by the diagnostic instrument;

if the user selects gear tooth count, receiving gear tooth counts of an input gear and an output gear of the gearbox by the diagnostic instrument;

taking vibration measurements of the rotating machine with a sensor; and

diagnosing the faults of the rotating machine by the diagnostic instrument based on the vibration measurements taken with the sensor and user-provided information about the gearbox.

16. The method of claim 15, further comprising:

requesting by the diagnostic instrument information about a type of bearing used in the gearbox;

receiving by the diagnostic instrument information about the type of bearing used in the gearbox.

17. The method of claim 15, further comprising:

requesting by the diagnostic instrument information about a flexible coupling with the gearbox; and

receiving by the diagnostic instrument information about the flexible coupling.

18. A method of determining and tracking vibration measurements with a sensor for diagnosing faults of a rotating machine, comprising:

receiving parameters by a diagnostic instrument about components of the rotating machine;

receiving by the diagnostic instrument a selected vibration measurement location;

displaying by the diagnostic instrument sensor orientation options on a graphical model of the rotating machine;

receiving a selected sensor orientation;

taking vibration measurements with the sensor; and

diagnosing the faults of the rotating machine by the diagnostic instrument based on the vibration measurements taken with the sensor rather than on previously taken vibration measurement monitoring data.

19. The method of claim 18, wherein the sensor is a triaxial accelerometer.

20. A non-transitory computer-readable medium carrying instructions for a method to determining and tracking vibration measurements with a sensor for diagnosing faults of a rotating machine, the method comprising:

receiving parameters of components of the rotating machine;

receiving a selected vibration measurement location;

displaying sensor placement options on a graphical model of the rotating machine;

receiving a selected sensor placement;

taking a vibration measurement with the sensor; and

displaying the vibration measurement at the selected vibration measurement location on the graphical model of the rotating machine,

wherein faults of the rotating machine are diagnosed based upon the vibration measurement taken with the sensor rather than on previously taken vibration measurement monitoring data.