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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

Framework of outlier discrimination and elimination.
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f4-sensors-12-11061: Framework of outlier discrimination and elimination.

Mentions: For this we use a statistical method to discriminate and eliminate outliers, the framework of which is as shown in Figure 4. Two low-pass filters are introduced in the program, and their outputs are the smooth estimates of the measurements. The dashed box in the figure produces the updated value of the sample variance, which can be used to obtain the threshold for determining outlier at the next time. The detailed procedure of outlier discrimination and elimination is given out as follows.


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

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

Framework of outlier discrimination and elimination.
© Copyright Policy
Related In: Results  -  Collection

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

f4-sensors-12-11061: Framework of outlier discrimination and elimination.
Mentions: For this we use a statistical method to discriminate and eliminate outliers, the framework of which is as shown in Figure 4. Two low-pass filters are introduced in the program, and their outputs are the smooth estimates of the measurements. The dashed box in the figure produces the updated value of the sample variance, which can be used to obtain the threshold for determining outlier at the next time. The detailed procedure of outlier discrimination and elimination is given out as follows.

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