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Fault diagnostics for turbo-shaft engine sensors based on a simplified on-board model.

Lu F, Huang J, Xing Y - Sensors (Basel) (2012)

Bottom Line: The simplified on-board model provides the analytical third channel against which the dual channel measurements are compared, while the hardware redundancy will increase the structure complexity and weight.Sensor fault detection, diagnosis (FDD) logic is designed, and two types of sensor failures, such as the step faults and the drift faults, are simulated.When the discrepancy among the triplex channels exceeds a tolerance level, the fault diagnosis logic determines the cause of the difference.

View Article: PubMed Central - PubMed

Affiliation: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. lfaann@nuaa.edu.cn

ABSTRACT
Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can't be satisfied in some occasions as lack of judgment. The simplified on-board model provides the analytical third channel against which the dual channel measurements are compared, while the hardware redundancy will increase the structure complexity and weight. The simplified turbo-shaft model contains the gas generator model and the power turbine model with loads, this is built up via dynamic parameters method. Sensor fault detection, diagnosis (FDD) logic is designed, and two types of sensor failures, such as the step faults and the drift faults, are simulated. When the discrepancy among the triplex channels exceeds a tolerance level, the fault diagnosis logic determines the cause of the difference. Through this approach, the sensor fault diagnosis system achieves the objectives of anomaly detection, sensor fault diagnosis and redundancy recovery. Finally, experiments on this method are carried out on a turbo-shaft engine, and two types of faults under different channel combinations are presented. The experimental results show that the proposed method for sensor fault diagnostics is efficient.

No MeSH data available.


Related in: MedlinePlus

Dual channel fault with the same drift velocities under the steady state of ng% = 85%. (a) Triplex channel outputs; (b) Drift fault indication.
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f11-sensors-12-11061: Dual channel fault with the same drift velocities under the steady state of ng% = 85%. (a) Triplex channel outputs; (b) Drift fault indication.

Mentions: Two experiments on dual channel with drift faults under the steady-state of ng% = 85% are carried out. The faults with different drift velocities are introduced into dual channels in Figure 10(a), channel A is 0.04%/s, and channel B 0.02%/s. As can be seen from Figure 10(b), three fault indicators exceed their thresholds about at 80s, dual channel faults is determined 2.4 seconds later via the logic. Both of the channels are isolated, and the sensor signal will be replaced with the model output. In Figure 11(a), we can see that the same drift faults occur in the dual channel, and both analytic residuals violate their threshold while the dual channel residual is still below its threshold. An anomaly is detected, but which sensor is fault can't be recognized by the fault indicators in Figure 11(b).


Fault diagnostics for turbo-shaft engine sensors based on a simplified on-board model.

Lu F, Huang J, Xing Y - Sensors (Basel) (2012)

Dual channel fault with the same drift velocities under the steady state of ng% = 85%. (a) Triplex channel outputs; (b) Drift fault indication.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472873&req=5

f11-sensors-12-11061: Dual channel fault with the same drift velocities under the steady state of ng% = 85%. (a) Triplex channel outputs; (b) Drift fault indication.
Mentions: Two experiments on dual channel with drift faults under the steady-state of ng% = 85% are carried out. The faults with different drift velocities are introduced into dual channels in Figure 10(a), channel A is 0.04%/s, and channel B 0.02%/s. As can be seen from Figure 10(b), three fault indicators exceed their thresholds about at 80s, dual channel faults is determined 2.4 seconds later via the logic. Both of the channels are isolated, and the sensor signal will be replaced with the model output. In Figure 11(a), we can see that the same drift faults occur in the dual channel, and both analytic residuals violate their threshold while the dual channel residual is still below its threshold. An anomaly is detected, but which sensor is fault can't be recognized by the fault indicators in Figure 11(b).

Bottom Line: The simplified on-board model provides the analytical third channel against which the dual channel measurements are compared, while the hardware redundancy will increase the structure complexity and weight.Sensor fault detection, diagnosis (FDD) logic is designed, and two types of sensor failures, such as the step faults and the drift faults, are simulated.When the discrepancy among the triplex channels exceeds a tolerance level, the fault diagnosis logic determines the cause of the difference.

View Article: PubMed Central - PubMed

Affiliation: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. lfaann@nuaa.edu.cn

ABSTRACT
Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can't be satisfied in some occasions as lack of judgment. The simplified on-board model provides the analytical third channel against which the dual channel measurements are compared, while the hardware redundancy will increase the structure complexity and weight. The simplified turbo-shaft model contains the gas generator model and the power turbine model with loads, this is built up via dynamic parameters method. Sensor fault detection, diagnosis (FDD) logic is designed, and two types of sensor failures, such as the step faults and the drift faults, are simulated. When the discrepancy among the triplex channels exceeds a tolerance level, the fault diagnosis logic determines the cause of the difference. Through this approach, the sensor fault diagnosis system achieves the objectives of anomaly detection, sensor fault diagnosis and redundancy recovery. Finally, experiments on this method are carried out on a turbo-shaft engine, and two types of faults under different channel combinations are presented. The experimental results show that the proposed method for sensor fault diagnostics is efficient.

No MeSH data available.


Related in: MedlinePlus