Method and system for diagnostic rules for heavy duty gas turbines

• US 9,921,577 B2
• Filed: 03/01/2013
• Issued: 03/20/2018
• Est. Priority Date: 03/01/2012
• Status: Active Grant

• Current Assignee: Nuovo Pignone SPA (Nuovo Pignone International SRL)
• Original Assignee: Nuovo Pignone SPA (Nuovo Pignone International SRL)
• Inventors: Bianucci, David, Khalidi, Abdurrahman Abdallah, Pumo, Antonio, Crociani, Riccardo
• Primary Examiner(s): MCCALL, ERIC SCOTT
• Application Number:
  US14/382,028
• Publication Number:
  US 20150013440A1
• Time in Patent Office: 1,845 Days
• Field of Search: 7311201, 7311203
• CPC Class Codes: F01D 21/003 Arrangements for testing or measuring for measuring vibrations G01H
• CPC Class Codes: F02C 7/00 Features, components parts, details or accessories, not provided for in, or of interest apart form groups F02C1/00 - F02C6/00; Air intakes for jet-propulsion plants controlling F02C9/00
• CPC Class Codes: F04B 51/00 Testing machines, pumps, or pumping installations
• CPC Class Codes: F05D 2260/80 Diagnostics
• CPC Class Codes: G01K 13/00 Thermometers specially adapted for specific purposes
• CPC Class Codes: G01L 3/10 involving electric or magnetic means for indicating
• CPC Class Codes: G01M 15/14 Testing gas-turbine engines or jet-propulsion engines
• CPC Class Codes: G05B 11/06 in which the output signal represents a continuous function of the deviation from the desired value, i.e. continuous controllers G05B11/26 takes precedence
• CPC Class Codes: G05B 23/0216 Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
• CPC Class Codes: G05B 23/0218 characterised by the fault detection method dealing with either existing or incipient faults
• CPC Class Codes: G05B 23/0245 based on a qualitative model, e.g. rule based; if-then decisions
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A method for monitoring and diagnosing anomalies in auxiliary systems of a gas turbine implemented using a computer device coupled to a user interface and a memory device, the method including storing a plurality rule sets in the memory device, the rule sets relative to the auxiliary systems of the gas turbine, the rule sets including at least one rule expressed as a relational expression of a real-time data output relative to a real-time data input, the relational expression being specific to parameters associated with the auxiliary systems of the gas turbine, receiving real-time and historical data inputs from a condition monitoring system associated with the gas turbine, the data inputs relating to process parameters associated with the auxiliary systems of the gas turbine, and estimating values for at least some of the parameters associated with the auxiliary systems of the gas turbine using the received inputs.

Claims

1. A computer-implemented method for monitoring and diagnosing anomalies in auxiliary systems of a gas turbine, the method implemented using a system having a processor, a user interface, and a memory, the method comprising:

storing a plurality of rule sets in the memory being relative to the auxiliary systems of the gas turbine, the plurality of rule sets comprising at least one rule expressed as a relational expression of a real-time data output relative to a real-time data input, the relational expression being specific to at least one of process parameters associated with the auxiliary systems of the gas turbine;

receiving real-time and historical data inputs from a condition monitoring system associated with the gas turbine, the real-time and historical data inputs relating to a value of at least one of the process parameters associated with the auxiliary systems of the gas turbine; and

estimating values for at least one of the process parameters associated with the auxiliary systems of the gas turbine based on the received real-time and historical data inputs and at least one rule of the plurality of rule sets.

2. The method of claim 1, further comprising:

comparing the estimated values for at least one of the process parameters associated with the auxiliary systems of the gas turbine with a respective actual measured value of at least one of the process parameters associated with the auxiliary systems of the gas turbine; and

based on the comparison, generating an advisory message comprising troubleshooting instructions relating to at least one of the auxiliary systems of the gas turbine.

3. The method of claim 1, further comprising receiving inputs representative of at least one of the process parameters relating to at least one of a bearing radial vibration system, a bearing metal temperature system, a mineral lube oil system, a hydraulic oil system, a wheel-space of the turbine, bleed valves of the compressor, a combustion spread, an exhaust temperature system, and a ventilation system.

4. The method of claim 3, wherein receiving inputs representative of at least one of the process parameters relating to the mineral lube oil system comprises receiving inputs representative of at least one of sensor instrumental failures, oil leakages, pump failures, and vapor/oil separator anomalies of the mineral lube oil system.

5. The method of claim 3, wherein receiving inputs representative of at least one of the process parameters relating to the hydraulic oil system comprises receiving inputs representative of at least one of sensor instrumental failures, oil leakages, pump failures, and valve issues.

6. A system for auxiliary systems of a gas turbine, wherein the gas turbine comprising an axial compressor and a low pressure turbine in flow communication, the system comprising:

a processor;

a user interface; and

a memory for storing a plurality of rule sets relating to the auxiliary systems of the gas turbine, the plurality of rule sets comprising at least one rule expressed as a relational expression of a real-time data output relative to a real-time data input, the relational expression being specific to at least one of process parameters of the auxiliary systems of the gas turbine, the memory thereupon stored a set of instructions which, when executed by the processor, causes the system to;

receive real-time and historical data inputs from a condition monitoring system associated with the gas turbine, the real-time and historical data inputs relating to a value of at least one of the process parameters associated with the auxiliary systems of the gas turbine; and

estimate values for at least one of the process parameters associated with the auxiliary systems of the gas turbine based on the real-time and historical data inputs and at least one rule of the plurality of rule sets.

7. The system of claim 6, wherein the memory thereupon stored the set of instructions which, when executed by the processor, causes the system to further:

determine the estimated values for at least one of the process parameters associated with the auxiliary systems of the gas turbine using the real-time and historical data inputs.

8. The system of claim 6, wherein the memory thereupon stored the set of instructions which, when executed by the processor, causes the system to further:

compare the estimated values for at least one of the process parameters associated with the auxiliary systems of the gas turbine with a respective actual measured value of at least one of the process parameters associated with the auxiliary systems of the gas turbine; and

based on the comparison, generate an advisory message comprising troubleshooting instructions relating to at least one of the auxiliary systems of the gas turbine.

9. The system of claim 6, wherein the memory thereupon stored the set of instructions which, when executed by the processor, causes the system to further:

receive inputs representative of at least one of the process parameters relating to at least one of a bearing radial vibration system, a bearing metal temperature system, a mineral lube oil system, a hydraulic oil system, a wheel-space of the turbine, bleed valves of the compressor, combustion spread, an exhaust temperature system, and a ventilation system.

10. The system of claim 9, wherein the memory thereupon stored the set of instructions which, when executed by the processor, causes the system to further:

receive inputs representative of instrument failure and actual anomalous behavior of the bearing radial vibration system.

11. The system of claim 9, wherein the memory thereupon stored the set of instructions which, when executed by the processor, causes the system to further:

receive inputs representative of instrument failure and actual anomalous behavior of the bearing metal temperature system.