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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

Channel A with the step fault in the dynamic operation. (a) Triplex channel outputs; (b) Step fault indication by SPSO-SVR; (c) Step fault indication by simplified model.
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f12-sensors-12-11061: Channel A with the step fault in the dynamic operation. (a) Triplex channel outputs; (b) Step fault indication by SPSO-SVR; (c) Step fault indication by simplified model.

Mentions: Sensor fault diagnosis logic for turbo-shaft engines is validated under the steady state from the above experiments. Modeling errors of dynamic operation are much more numerous than those of steady state. In order to evaluate the ability of sensor fault diagnosis logic under dynamic operation, the following experiment is designed. When the gas generator speed increases from 81% to 95%, the step fault is injected into the channel A in Figure 12(a).


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

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

Channel A with the step fault in the dynamic operation. (a) Triplex channel outputs; (b) Step fault indication by SPSO-SVR; (c) Step fault indication by simplified model.
© Copyright Policy
Related In: Results  -  Collection

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

f12-sensors-12-11061: Channel A with the step fault in the dynamic operation. (a) Triplex channel outputs; (b) Step fault indication by SPSO-SVR; (c) Step fault indication by simplified model.
Mentions: Sensor fault diagnosis logic for turbo-shaft engines is validated under the steady state from the above experiments. Modeling errors of dynamic operation are much more numerous than those of steady state. In order to evaluate the ability of sensor fault diagnosis logic under dynamic operation, the following experiment is designed. When the gas generator speed increases from 81% to 95%, the step fault is injected into the channel A in Figure 12(a).

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