Diagnostic system and method for monitoring operating conditions of components of a turbine machine

• US 8,515,711 B2
• Filed: 10/21/2010
• Issued: 08/20/2013
• Est. Priority Date: 10/21/2010
• Status: Active Grant

• Current Assignee: Siemens Energy Incorporated (Siemens AG)
• Original Assignee: Siemens Energy Incorporated (Siemens AG)
• Inventors: Mitchell, David J., Subramanian, Ramesh, Ulerich, Nancy H., Zombo, Paul J.
• Primary Examiner(s): Huynh, Phuong
• Application Number:
  US12/909,194
• Publication Number:
  US 20120101775A1
• Time in Patent Office: 1,034 Days
• Field of Search: 702183-190, 702/33, 702/116, 702121-123
• US Class Current: 702/183
• CPC Class Codes: F01D 21/003 Arrangements for testing or measuring for measuring vibrations G01H
• CPC Class Codes: F05D 2260/80 Diagnostics
• CPC Class Codes: Y02T 50/60 Efficient propulsion technologies, e.g. for aircraft

Abstract

A diagnostic system and method for monitoring operating conditions of turbine machine components (18, 19, 22, 23) that comprise one or more non-contact sensors (24, 31) that detect an operating condition of a turbine component (18, 19, 22, 23) over a defined region of the component. In addition, point sensors (50) are provided that detect and monitor the same operating condition within the defined region. Data generated from the point sensor (50) is used to calibrate the non-contact sensor (24, 31) and the data generated by the non-contact sensor (24, 31).

Claims

1. A diagnostic system for monitoring operating conditions of components of a turbine machine, comprising:

a non-contact area sensor, positioned relative to the turbine machine in spaced relation to a component of the turbine machine, that detects an operating condition of the turbine component, and the non-contact sensor monitoring a defined region of the component determined by a field of view of the sensor, and generates data signals representing the operating condition;

at least one wireless point sensor mounted on the turbine component and positioned on the turbine component at predetermined coordinates relative to the component, wherein the point sensor monitors the same operating condition as the non-contact sensor and generates data or data signals representing the operating condition;

wherein the non-contact sensor detects the operating condition within a first estimated range of accuracy and the point sensor detects the operating condition within a second estimated range of accuracy that is higher than the first estimated accuracy range;

a data acquisition and processing controller linked in data communication with the non-contact sensor and the wireless point sensor, wherein the controller is configured to calibrate the non-contact sensor or data received from the non-contact sensor using the operating condition data from the wireless point sensor.

2. The diagnostic system of claim 1 wherein the wireless point sensor is positioned on the turbine component within, the field of view of the non-contact sensor and the defined region of the turbine component monitored by the non-contact sensor.

3. The diagnostic system of claim 1 wherein at least one of the wireless point sensors is positioned on the turbine component within the field of view of the non-contact sensor and, the defined region of the turbine component monitored by the non-contact sensor.

4. The diagnostic system of claim 1 wherein during operation of the turbine the component moves relative to the non-contact sensor and into and out of the field of view non-contact sensor.

5. The diagnostic system of claim 4 wherein the component is a rotary blade of the turbine machine which includes a plurality of turbine blades in a turbine stage that rotate about a rotary axis of the turbine machine.

6. The diagnostic system of claim 1 wherein the operating condition is a surface temperature, a vibrational mode and/or a strain of the component.

7. The diagnostic system of claim 1 wherein the operating condition is a strain on the component, chemical composition of a gas flow across the component, on the component, a gas velocity across the component, a gas pressure across the component, and/or wear or cracking of a component.

8. The diagnostic system of claim 2 wherein the non-contact sensor transmits data relative to a plurality of measurements of the operating condition over the defined region, wherein coordinates of one or more of these measurements are identified, and the data for at least one such measurement having identified coordinates that are the same as the coordinates of the point sensor, or within a predetermined range of the point sensor coordinates, is calibrated based on the point sensor data.

9. The diagnostic system of claim 1 wherein the data of a plurality of the non-contact sensor measurements are calibrated based on the calibration of the calibrated data of the one or more measurements from the non-contact sensor that have the same coordinates, or coordinates within a predetermined range of the point sensor coordinates.

10. The diagnostic system of claim 1 wherein the data acquisition and processing controller is configured online to provide real time measurements and data calibration and/or the data acquisition and process controller is configured to provide offline, post processing measurements and data calibration.

11. A diagnostic system for monitoring operating conditions of components of a turbine machine, comprising:

a non-contact sensor, positioned relative to the turbine machine in spaced relation to a component of the turbine machine, that detects an operating condition of the turbine component, and the non-contact sensor monitoring a defined region of the component determined by a field of view of the non-contact sensor, and generates data signals representing the operating condition;

at least one wireless point sensor mounted on the turbine component and positioned on the turbine at predetermined coordinates relative to the component and within the defined region monitored by the non-contact sensor, wherein the point sensor monitors the same operating condition as the non-contact sensor and generates data, signals representing the operating condition;

wherein the non-contact sensor provides low fidelity data or data signals relative to the data or data signals generated by the wireless point sensor, which provides high fidelity signals relative to the data or data signals generated by the non-contact sensor; and

,

a data acquisition and processing controller linked in data communication with the non-contact sensor and the wireless point sensor, wherein the controller is configured to calibrate the low fidelity data or data signals generated by the non-contact sensor relative to the high fidelity data, or data signals generated by the point sensor.

12. The diagnostic system of claim 11 wherein the data acquisition and processing controller comprises data relative to a turbine component profile including coordinates of the profile and coordinate data of the point sensor on the component, and the controller is configured to identify the coordinates of the operating condition data received from the non-contact sensor that is the same or within a predetermined range of the coordinate data of the point sensor for calibration of the low fidelity data or data signals received by the non-contact sensor.

13. The diagnostic system of claim 12 wherein operating condition data received from the non-contact sensor includes a plurality of measurements of the operation condition detected and over the defined region, and wherein the data associated with the data associated with the plurality of the measurements is calibrated based on the calibration of the operating condition having the same coordinates, or coordinates within predetermined range of the point sensor.

14. The diagnostic system of claim 11 wherein the turbine components including a plurality of components within a single stage of the turbine and the non-contact sensor detects the operating condition of the same one or same plurality of components within the turbine stage as representing the detected operation condition for each of the components within the stage.

15. The diagnostic system of claim 14 wherein the components are turbine or compressor vanes, and/or turbine or compressor rotating blades.

16. A diagnostic method for monitoring operating conditions of components of a turbine machine, comprising:

detecting, over a defined region of a component for a turbine machine, an operating condition relative to the component using at least one non-contact area sensor from a fixed position in spaced relation to the component;

detecting, with at least one wireless point sensor from at least one position on the component having predetermined coordinates on the component within the defined region, the same operating condition relative to the component;

generating low fidelity data or data signals from the non-contact area sensor, that are indicative of the operating condition;

generating high fidelity data or data signals, from the wireless point sensor, that are indicative of the same operating condition; and

,

processing, at a data acquisition and processing controller, the low fidelity data or data signals and high fidelity data and data signals to calibrate the low fidelity data and data signals relative to the high fidelity data and data signals.

17. The diagnostic method of claim 16 wherein the turbine machine comprises a plurality of stages and at each stage includes a plurality of like components that work in synchronization to perform a desired function for the operation of the turbine machine, the method further comprising:

detecting the operating condition on a plurality of the like components over a defined region of each such component, using one or more non-contact area sensors from one or more fixed positions relative to the components and in spaced relation to each component; and

,

detecting, using each wireless point sensor from a respective position having predetermined coordinates on one or more of the plurality of the components within the defined region, the same operating condition relative to the one or more components.

18. The diagnostic method of claim 17 wherein the step of detecting the operating condition at a point on the one or more like components includes detecting the operating condition on only one component.

19. The diagnostic method of claim 17 wherein the like components move relative to the fixed position from which the operating condition is detected.

20. The diagnostic method of claim 17 wherein the like components are stationary relative to the fixed position from which the operating condition is detected.

21. The diagnostic method of claim 17 wherein the step of detecting the operating condition at a point on the component includes detecting the operating condition on at least one component, but not all components.

22. The diagnostic method of claim 16 wherein the step of processing the data and data signals includes processing the low fidelity data indicative of the operating condition of one of the like components and the high fidelity data indicative of the same operating condition of another of the like components to calibrate the low fidelity data relative the high fidelity data.

23. The diagnostic method of claim 16 further comprising the steps:

identifying the coordinates of low fidelity data representing a measurement of the operating condition that has the same coordinates of, or coordinates within a predetermined range of the coordinates of the position from which the operating condition is detected for generating the high fidelity data; and

,

calibrating the low fidelity data at the identified coordinates relative to the high fidelity data.

24. The diagnostic method of claim 23 wherein the step of generating low fidelity of data representative of the operating condition comprises generating a plurality of measurements of the operating condition wherein the step of identifying the coordinates of the low fidelity data includes identifying the coordinates of at least one of the measurements of the operating condition and the step of calibrating the low fidelity data comprises calibrating the data representing a plurality of the measurements of the operating condition.