Method for detecting deterioration in a turbomachine by monitoring the performance of said turbomachine

• US 9,651,457 B2
• Filed: 07/03/2013
• Issued: 05/16/2017
• Est. Priority Date: 07/10/2012
• Status: Active Grant

• Current Assignee: Safran Aircraft Engine Company
• Original Assignee: Snecma (Safran SA)
• Inventors: Piol, Olivier, Olivier, Amaury, Brichler, Thierry
• Primary Examiner(s): Kirkland, III, Freddie
• Application Number:
  US14/413,056
• Publication Number:
  US 20150192499A1
• Time in Patent Office: 1,413 Days
• Field of Search: 7311201
• 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: G01M 15/14 Testing gas-turbine engines or jet-propulsion engines
• 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

Abstract

A method for detecting degradation of a turbine engine by monitoring performance of the turbine engine, the turbine engine including plural functional modules, the method including: measuring plural physical parameters of the turbine engine to form a current performance index for the turbine engine; calculating plural degraded performance indices for the turbine engine, assuming that, for each degraded performance index, only one functional module of the turbine engine has degraded; calculating plural cost indices corresponding to the difference between the current performance index and a degraded performance index; determining an optimum cost index corresponding to the one with a lowest value for all the degraded performance indices; and detecting degradation of the module of the turbine engine, the degraded performance index of which is associated with optimum cost index.

Claims

1. A method for detecting degradation of a turbine engine, by a computer, by monitoring a performance of the turbine engine, the turbine engine including a plurality of functional modules, each functional module being characterised by at least one health parameter representing degradation of the functional module of the turbine engine, global aging of the turbine engine being characterised by an aging parameter, the method comprising:

measuring a plurality of physical parameters of the turbine engine to form a current performance index of the turbine engine;

calculating a plurality of degraded performance indices of the turbine engine by a thermodynamic model of the turbine engine, assuming for each degraded performance index that only one functional module of the turbine engine has degraded, each degraded performance index being associated with a functional module;

obtaining each degraded performance index, corresponding to a single degraded functional module among all the functional modules of the turbine engine, by simulating a performance index of the turbine engine for which the health parameter of the degraded functional module and the aging parameter are variables, the health parameters of the other, non-degraded functional modules being considered to be healthy health parameters;

calculating a plurality of cost indices, each cost index corresponding to the difference between the current performance index and each degraded performance index, varying the variables of the degraded performance index so that the difference is minimal, each degraded performance index being associated with its cost index;

determining an optimum cost index corresponding to the one with the lowest value among all the cost indices;

detecting degradation of the module of the turbine engine, the degraded performance index of which is associated with the optimum cost index.

2. A method according to claim 1, wherein each functional module is characterised by at least two health parameters.

3. A method according to claim 2, wherein each functional module is characterised by:

an efficiency degradation indicator, and

a permeability/flow rate capacity degradation indicator.

4. A method according to claim 1, wherein the functional modules belong to the following functional modules:

a fan module, a high-pressure compressor module, a booster module, a high-pressure turbine module, and a low-pressure turbine module.

5. A method according to claim 1, wherein:

the optimum cost index is compared with a cost threshold having a predetermined value, and

the detection of the degradation is inhibited if the optimum cost index is below the cost threshold.

6. A method according to claim 1, wherein:

a candidate cost index corresponding to the one with the lowest value among all the cost indices apart from the optimum cost index is determined;

the difference between the candidate cost index and the optimum cost index is compared with a given guard threshold; and

degradation of the module of the turbine engine, the degraded performance index of which is associated with the candidate cost index, is detected if the difference is below the given guard threshold.

7. A method according to claim 1, wherein the value of the variables of the degraded performance index varies respectively over variation ranges of which bounds are determined according to degradation detections previously made.

8. A method according to claim 1, wherein, each health parameter of a functional module is associated with an aging component that is dependent on the aging parameter, and each degraded performance index is a function of the aging components of all the modules.

9. A method according to claim 1, wherein a current signature of the turbine engine is compared with a library of signatures, and wherein any abnormality or abnormalities in the turbine engine are determined by a mathematical function.