Fault diagnosis during testing of turbine unit
A method of fault diagnosis during testing of a turbine unit includes a) obtaining measurement data from turbine sensors and testing sensors, b) calculating at least one parameter value based on measurement data, c) determining a deviation of the measurement data and the at least one parameter value by comparing the measurement data and the at least one parameter value with predetermined reference data, and d) matching the determined deviation to a plurality of predetermined fault signatures in order to detect a fault. The plurality of predetermined fault signatures includes a first set of fault signatures and a second set of fault signatures, the first set of fault signatures corresponding to turbine sensor faults and/or testing sensor faults and assumed fault-free turbine components, the second set of fault signatures corresponding to turbine component faults and assumed fault-free turbine sensors and testing sensors.
1. A method of fault diagnosis comprising:
testing a turbine engine unit in a turbine testing system, wherein the turbine engine unit comprises a plurality of turbine engine components and turbine sensors, and the turbine testing system comprises a plurality of testing sensors;
obtaining measurement data from the turbine sensors and the testing sensors,
calculating at least one parameter value based on a thermodynamic relation applied to at least a portion of the measurement data 1 ,
determining a deviation of the measurement data by comparing the measurement data with predetermined first reference data for the measurement data, and determining a deviation of the at least one parameter value by comparing the at least one parameter value with predetermined second reference data 2 for the at least one parameter value, and
matching at least one of the determined deviation of the measurement data and the determined deviation of the at least one parameter value to at least one of a plurality of predetermined fault signatures to detect at least one fault,
wherein the plurality of predetermined fault signatures comprises a first set of fault signatures and a second set of fault signatures, the first set of fault signatures corresponding to at least one of turbine sensor faults and testing sensor faults and presumes fault-free turbine engine components, the second set of fault signatures corresponding to turbine engine component faults and presumes fault-free turbine sensors and fault-free testing sensors, wherein the matching of the at least one of the determined deviation of the measurement data and the determined deviation of the at least one parameter value is arranged to simultaneously identify 3 whether the at least one fault is likely caused by a defective engine component of the plurality of turbine engine components or whether the at least one fault is likely caused by a defective sensor of the plurality of testing sensors and the turbine sensors faults, wherein the matching arranged to simultaneously identify the likely cause of the at least one fault is based on a respective degree of matching 4 with the first set of fault signatures and with the second set of fault signatures.
2. The method according to claim 1 , further comprising generating an ordered list of faults based on the degree of matching.
3. The method according to claim 1 , wherein the matching of the at least one of the determined deviation of the measurement data and the determined deviation of the at least one parameter value to the at least one of the plurality of predetermined fault signatures comprises a single fault matching stage based on at least one of mean values of the first predetermined reference data and mean values of the second predetermined reference data.
4. The method according to claim 1 , wherein the matching of the at least one of the determined deviation of the measurement data and the determined deviation of the at least one parameter value to the at least one of the plurality of predetermined fault signatures comprises a double fault matching stage based on: at least one of mean values of the first predetermined reference data and mean values of the second predetermined reference data; and weighted pairs of fault signatures.
5. The method according to claim 1 , further comprising:
determining a probability of occurrence for a plurality of candidate faults and generating a list of the candidate faults in accordance with the determined probabilities.
6. The method according to claim 5 , further comprising:
selecting at least one of the candidate faults as an occurring fault based on the list of candidate faults.
7. The method according to claim 1 , further comprising:
outputting information identifying a fault and/or a corresponding source of fault.
8. The method according to claim 1 , further comprising:
stopping the testing of the turbine engine unit, and based on the determined fault, determine whether the fault can be remedied by replacing one or more testing sensors.
9. A system for testing the turbine engine unit, the system comprising:
a test bed for receiving the turbine engine unit to be tested, and
a controller coupled to receive the measurement data from the turbine sensors and the testing sensors, the controller adapted to control a test operation of the turbine engine unit,
wherein the controller is further adapted to perform fault diagnosis during the test operation by using the method according to claim 1 .
10. A computer comprising:
computer executable instructions stored on a non-transitory computer readable medium, which, when performed by a processor of the computer, are adapted to cause the computer to perform the method according to claim 1 .
11. A non-transitory computer readable data carrier loaded with a computer program adapted to perform the method according to claim 1 when executed by a processor.