Operations support systems and methods with power assurance

• US 8,321,118 B2
• Filed: 12/23/2008
• Issued: 11/27/2012
• Est. Priority Date: 12/23/2008
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Moeckly, Kevin, Goericke, Jan, Stramiello, Andy, Ling, Richard
• Primary Examiner(s): Nguyen, Cuong H
• Application Number:
  US12/342,633
• Publication Number:
  US 20100161197A1
• Time in Patent Office: 1,435 Days
• Field of Search: 701/1, 701/29, 701/35, 701/99, 701/36, 701/59, 701/34.4, 701/179, 702/104, 702181-184, 702/127, 705/306
• US Class Current: 701/99
• 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 2270/71 synthesized, i.e. parameter computed by a mathematical model
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
• CPC Class Codes: G05B 23/0281 Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis

Abstract

An operations support system for an engine includes an engine prediction unit configured to receive an engine rating condition and scalars associated with the engine, and to generate condition indicators based on the engine rating condition and the scalars; and a power assurance algorithm unit coupled to the engine prediction unit and configured to generate health indicators based on the condition indicators. The health indicators include a power assurance number.

Claims

1. An operations support system for an engine, comprising:

an engine prediction unit configured to receive an engine rating condition and scalars associated with the engine, and to generate condition indicators based on the engine rating condition and the scalars; and

a power assurance algorithm unit coupled to the engine prediction unit and configured to generate health indicators based on the condition indicators, the health indicators including a power assurance number.

2. The operations support system of claim 1, further comprising a scalar conditioning unit coupled to the engine prediction unit, and configured to monitor scalar changes and to provide conditioned scalars to the engine prediction unit.

3. The operations support system of claim 1, wherein the engine prediction unit uses a thermodynamic model based on component maps of the engine to generate the condition indicators.

4. The operations support system of claim 1, wherein the thermodynamic model is an engine-specific model.

5. The operations support system of claim 1, wherein at least a portion of the scalars represent erosion within the engine.

6. The operations support system of claim 1, wherein the health indicators include engine margins.

7. The operations support system of claim 1, wherein health indicators include power assurance numbers over time.

8. The operations support system of claim 1, wherein the condition indicators include a current engine condition, and wherein the power assurance algorithm unit compares the current engine condition to a minimum deteriorated engine condition.

9. The operations support system of claim 1, further comprising a graphical user interface coupled to the fault classification unit and configured to display the health indicators.

10. The operations support system of claim 9, wherein the graphical user interface is configured to display the health indicators for individual components of the engine.

11. The operations support system of claim 9, wherein the graphical user interface is configured to display power assurance numbers over time.

12. An operations support system for an engine, comprising:

an engine prediction unit configured to receive an engine rating condition and scalars associated with the engine, and to generate condition indicators based on the engine rating condition and the scalars, the engine prediction unit using an engine-specific, thermodynamic model based on component maps of the engine to generate the condition indicators, at least a portion of the scalars representing erosion within the engine;

a power assurance algorithm unit coupled to the engine prediction unit and configured to generate health indicators based on the condition indicators, the health indicators including a power assurance number;

and

a graphical user interface coupled to the fault classification unit and configured to display the health indicators.