Equipment component monitoring and replacement management system

• US 7,143,007 B2
• Filed: 10/14/2004
• Issued: 11/28/2006
• Est. Priority Date: 10/17/2003
• Status: Active Grant

• Current Assignee: Hydralift AmClyde, Inc. (National Oilwell Varco Incorporated)
• Original Assignee: Hydralift AmClyde, Inc. (National Oilwell Varco Incorporated)
• Inventors: Booth, Michael L., Long, Wayne R., Holme, Anders, Frafjord, Erik, Gjedebo, Jon Grude, Waller, Aaron D., Ørke, Per Reidar
• Primary Examiner(s): WACHSMAN, HAL D
• Application Number:
  US10/965,706
• Publication Number:
  US 20050143956A1
• Time in Patent Office: 775 Days
• Field of Search: 702/184, 702 33- 36, 702/42, 702/58, 702/59, 702/113, 702/122, 702/127, 702/118, 702/182, 702/183, 702/185, 702/187, 702/188, 702/177, 702/179, 702/181, 735/77, 737/60, 737/87, 737/89, 737/81, 737/83, 737/94
• US Class Current: 702/184
• CPC Class Codes: F04D 15/0088 Testing machines
• CPC Class Codes: F04D 7/04 the fluids being viscous or non-homogenous
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 19/4184 characterised by fault tolerance, reliability of production system
• CPC Class Codes: G05B 2219/34477 Fault prediction, analyzing signal trends
• CPC Class Codes: G05B 2219/37253 Fail estimation as function of lapsed time of use
• CPC Class Codes: G05B 2219/37254 Estimate wear of subsystem of machine with measures from other subsystems
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

A computer system for managing replacement components for equipment having a plurality of components, each component having a limited useful life, has a computer program module defining a duty profile comprising a plurality of usage cases for the equipment, each usage case involving two or more of the components and specified operating conditions for the involved components during execution of the usage cases. A further program module determines a theoretical useful life for each component involved in a duty profile, based on component useful life data under specified operating conditions; and sensors determine and monitor the occurrence of equipment operation corresponding to a usage case and measur actual operating conditions and number of operations. A further program module computes an adjusted theoretical useful life for a component experiencing operations, based on a comparison of actual operating conditions to those assumed for the usage case.

Claims

1. A system for managing replaceable components for equipment having a plurality of components, each component having a limited useful life, comprising:

a computer with at least one processor;

a computer program module for defining a duty profile comprising a plurality of usage cases for the equipment, each usage case involving two or more of the plurality of components and specified operating conditions assumed to be experienced by the involved components during the execution of each of the usage cases;

a computer program module for determining a theoretical useful life for each component involved in the duty profile, said theoretical useful life being based on component wear parameters assumed to occur under the specified operating conditions;

sensors for determining and monitoring the occurrence of equipment operation corresponding to a usage case and making measurements of actual operating conditions experienced in the equipment operation;

a memory for storing the measurements of actual operating conditions for the plurality of components; and

a computer program module for computing an adjusted theoretical useful life for a component after the component has experienced one or more operations, by;

responsive to the measurements of actual operating conditions, calculating one or more wear parameters for each operation and accumulating these calculated parameters for such component; and

based on a comparison of the accumulated, calculated one or more wear parameters from actual operating conditions to accumulated wear parameters assumed to occur under the specified operating conditions in the determination of a theoretical useful life, determining the amount of the adjusted theoretical useful life consumed in the one or more operations.

2. The system of claim 1 wherein the measurements of actual operating conditions comprise measurements of load and the duration of a load.

3. The system of claim 1 wherein the duty profile assumes a specified number of operations and the system tracks the number of operations in which a replaceable component is involved.

4. The system of claim 1 wherein the sensors are configured to provide measurements of actual operating conditions for calculation of a wear parameter corresponding to the work performed by a component.

5. The system of claim 1 further comprising a computer program module responsive to the adjusted theoretical useful life for signaling an immediate replacement need when the amount of the theoretical useful life consumed is within a critical range of the adjusted theoretical useful life.

6. The system of claim 1 further comprising a computer program module responsive to the adjusted theoretical useful life for signaling a scheduled replacement need when the amount of the theoretical useful life consumed is within a replacement range of the adjusted theoretical useful life.

7. The system of claim 1 wherein the equipment is remote from the computer program module for computing an adjusted theoretical useful life for a component and the sensors are resident on the equipment.

8. The system of claim 7 wherein the sensors resident on the equipment are configured by a computer program module operating on a processor remote from the equipment to produce selected measurements of actual operating conditions.

9. The system of claim 7, wherein the sensors resident on the equipment communicate with a computer associated with the equipment.

10. The system of claim 1 further comprising a supervisory computer module for computing the adjusted theoretical useful life for a component in response to a real-time request received by the supervisory computer module or in response to a periodic analysis initiated by the supervisory computer module.

11. A computer-based method for managing replaceable components for equipment having a plurality of components, each component having a limited useful life, comprising:

controlling a computer program module executing on a processor for defining a duty profile comprising a plurality of usage cases for the equipment, each usage case involving two or more of the plurality of components and specified operating conditions assumed to be experienced by the involved components during the execution of each of the usage cases;

controlling a computer program module executing on a processor for determining a theoretical useful life for each component involved in the duty profile, said theoretical useful life being based on component wear parameters assumed to occur under the specified operating conditions;

receiving data from sensors for determining and monitoring the occurrence of equipment operation corresponding to a usage case and for making measurements of actual operating conditions experienced in the equipment operation;

storing in a memory the measurements of actual operating conditions forte plurality of components; and

controlling a computer program module executing on a processor for computing an adjusted theoretical useful life for a component after the component has experienced one or more operations, by;

responsive to the measurements of actual operating conditions, calculating one or more wear parameters for each operation and accumulating these calculated parameters for such component; and

based on a comparison of the one or more accumulated, calculated wear parameters from actual operating conditions to accumulated wear parameters assumed to occur under the specified operating conditions in the determination of a theoretical useful life, determining the amount of the adjusted theoretical useful life consumed in the one or more operations.

12. The computer-based method of claim 11 wherein step of making the measurements of actual operating conditions comprises making measurements of load and the duration of a load.

13. The computer-based method of claim 11 wherein the step of controlling a computer program module for defining a duty profile comprises controlling a module that assumes a specified number of operations and the step of controlling a computer program module for computing an adjusted theoretical useful life comprises tracking the number of operations in which a replaceable component is involved.

14. The computer-based method of claim 11 wherein the step of receiving data from sensors comprises receiving data from sensors configured to provide measurements of actual operating conditions for calculation of a wear parameter corresponding to the work performed by a component.

15. The computer-based method of claim 11 further comprising controlling a computer program module executing on a processor responsive to the adjusted theoretical useful life for signaling an immediate replacement need when the amount of the theoretical useful life consumed is within a critical range of the adjusted theoretical useful life.

16. The computer-based method of claim 11 further comprising controlling a computer program module executing on a processor responsive to the adjusted theoretical useful life for signaling a scheduled replacement need when the amount of the theoretical useful life consumed is within a replacement range of the adjusted theoretical useful life.

17. The computer-based method of claim 11 wherein the step of receiving data from sensors comprises receiving data from sensors resident on equipment located remote from the computer program module for computing an adjusted theoretical useful life for a component.

18. The computer-based method of claim 17 further comprising configuring the sensors resident on the remote equipment by use of a computer program module operating on a supervisory server remote from the equipment.

19. The computer-based method of claim 17, wherein the step of receiving data from sensors comprises receiving data from sensors communicating with a computer associated with the remote equipment.

20. The computer-based method of claim 11 further comprising controlling a supervisory computer module executing on a computer for computing the adjusted theoretical useful life for a component in response to a real-time request received by the supervisory computer module or in response to a periodic analysis initiated by the supervisory computer module.

21. A method for monitoring of the condition of remote equipment having at least one wear component, said at least one wear component having a useful life dependent on the operating conditions the at least one wear component experiences, comprising:

defining two or more raw data measurements tat vary as the remote equipment is used under different operating conditions;

controlling a software component executing on a processor for receiving data from sensors cooperating with the remote equipment to sense operating conditions and producing the two or more raw data measurements and for transmitting said sensor data to a central monitoring processor;

controlling a software component executing at the central monitoring processor for parsing the sensor data into the two or more raw data measurements for processing;

controlling a software component executing on a processor for calculating from the two or more raw data measurements at least one calculated wear parameter for the at least one wear component, the value of the at least one calculated wear parameter being weighted by values of the two or more raw data measurements used in the at least one calculated wear parameter calculation;

controlling a software component executing on a processor for collecting a time sequence of the values of the at least one calculated wear parameter for the at least one wear component and from the time sequence of values calculating an accumulated wear value over the usage of the at least one wear component; and

controlling a software component executing on a processor for evaluating the accumulated wear value against a maximum wear rating for the at least one wear component and responsive thereto providing a useful life operations notice.

22. The method of claim 21 wherein the step of evaluating the accumulated wear value and providing a useful life operations notice comprises providing an operator notice to change equipment operating conditions to preserve useful life.

23. The method of claim 21 wherein the step of evaluating the accumulated wear value and providing a useful life operations notice comprises providing a supervisory notice for emergency maintenance.

24. The method of claim 21 wherein the step of evaluating the accumulated wear value and providing a useful life operations notice comprises providing a supervisory notice for scheduled replacement at a time responsive to the accumulated wear value and remaining useful life.

25. The method of claim 21 further comprising controlling a software component executing on a processor for collecting a time sequence of the values of the at least one calculated wear parameter for a sample population of equipment using such at least one wear component and from such time sequence of values and failure data for at least one wear components in such sample population, determining a wear-failure correspondence between the time sequence of the values of the at least one calculated wear parameter and wear component failure.

26. The method of claim 25 further comprising controlling a software component executing on a processor responsive to such wear-failure correspondence and further responsive to such time sequence of the values of the at least one calculated wear parameter for the at least one wear component for calculating a remaining useful life for such at least one wear component.

27. The method of claim 21 further comprising controlling a software component executing on a processor for collecting a time sequence of the values of the at least one calculated wear parameter and the raw data measurements underlying such at least one calculated wear parameter for a sample population of equipment using such at least one wear component and from such time sequence of values and measurements and failure data for at least one wear component in such sample population, determining a wear-failure correspondence between the time sequence of the values of the at least one calculated wear parameter and the raw data measurements underlying such at least one calculated wear parameter and incidents of wear component failure.

28. The method of claim 27 further comprising controlling a software component executing on a processor responsive to such wear failure correspondence to apply such wear failure correspondence as a filter to at least one calculated wear parameter and the raw data measurements underlying such at least one calculated wear parameter for an item of equipment corresponding to the sample population of equipment to detect a pre-failure pattern and responsive to such detection to provide an operating notice for the item of equipment.

29. The method of claim 28 wherein the operating notice provided is a notice specifying controlled shutdown for the item of equipment at which the pre-failure pattern was detected.

30. The method of claim 28 wherein the operating notice provided is a notice specifying an operating limit for the item of equipment at which the pre-failure pattern was detected.

31. The method of claim 21 wherein the method further comprises:

defining a 2-dimensional usage limit for the at least one wear component, each dimension comprising a limit for a raw data measurement or for the at least one calculated wear parameter, and

controlling a software component executing on a processor using the 2-dimensional usage limit, said software component being responsive to the raw data measurements and the at least one calculated wear parameter, for issuing an out-of-limit warning.

32. The method of claim 21 wherein the method further comprises:

defining a N-dimensional usage limit for the at least one wear component, each dimension comprising a limit fir a raw data measurement or for the at least one calculated wear parameter; and

controlling a software component executing on a processor using the N-dimensional usage limit, said software component being responsive to the raw data measurements and the at least one calculated wear parameter, for issuing an out-of-limit warning.

33. The method of claim 21 wherein the method further comprises controlling a software component executing on a processor remote from the equipment to be monitored to configure an equipment computer system located at the equipment, by defining at least one of the raw data measurements to be produced and the frequency of sensing of the at least one raw data measurement.

34. The method of claim 33 wherein the step of controlling a software component executing on a processor remote from the equipment to be monitored to configure an equipment computer system comprises providing configuration data specifying one or more of the following:

selecting wear components to monitor, selecting the signals and parameters for a data logger in the equipment computer system, selecting scaling calculations to be applied to raw data measurements, selecting filters to be applied to raw data measurements, and selecting a communication route between the equipment computer system and the central monitoring processor.

35. The method of claim 21 further comprising:

storing in a component usage database accessible to the central monitoring processor raw data measurements and/or calculated wear parameters;

storing in a failure database accessible to the central monitoring processor failure data for at least one wear component correlated to the component usage database;

controlling a software component executing on a processor for performing data mining on the component usage database and failure database to derive at least one predictive rule for triggering a warning in advance of failure of a wear component; and

controlling a software component executing on a processor for implementing the at least one predictive ride as a filter to be applied to real time streams of raw data measurements received from the sensors cooperating with the remote equipment.

36. The method of claim 35 further comprising:

storing in a limit database accessible to the central monitoring processor out of limit levels for comparison against the raw data measurements and/or calculated wear parameters; and

controlling a software component executing on a processor for implementing the out of limit levels as a filter to be applied to real time streams of raw data measurements received from the sensors cooperating with the remote equipment said filter signaling an out of limit condition.

37. The method of claim 35 wherein the raw data measurements of the component usage database are stored in multidimensional cubes.

38. The method of claim 35 wherein the calculated wear parameters of the component usage database are stored in multidimensional cubes.

39. The method of claim 35 wherein the at least one predictive rule is fed back into definitions for service procedures that define component replacement schedules.

40. The method of claim 21 wherein at least one accumulated, calculated wear parameter is a load-weighted running hour parameter.

41. The method of claim 21, wherein the remote equipment to which the method is applied has two or more wear components that are replaceable.

42. The method of claim 21, wherein the remote equipment to which the method is applied is selected from the group consisting of cranes, winches, top-drives and mud pumps.

43. The method of claim 21, further comprising storing in a management database accessible to the central monitoring processor the correspondence between raw data measurements and the calculated wear parameters to which the raw data measurements belong.

44. The method of claim 43, further comprising storing in a management database accessible to the central monitoring processor the processing calculation methods applied to the two or more raw data measurements.