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System-Level Fault Diagnosis with Application to the Environmental Control System of an Aircraft
Technical Paper
2015-01-2583
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper addresses the issues of Fault Detection and Isolation (FDI) in complex networked systems such as the Environmental Control System (ECS) of an aircraft. The ECS controls and supplies pressurized air to the aircraft and consists of multiple subsystems that in turn consist of interconnected components, heterogeneous sensing devices, and feedback controllers. These complex interconnections and feedback control loops make fault detection and isolation a very challenging task in the ECS. For example, a faulty component yields off-nominal outputs which are inputs to the other coupled components. This coupling leads to off-nominal outputs from otherwise healthy components, thus causing unwanted false-alarms. Secondly, due to off-nominal inputs, the healthy components are driven beyond their normal operating conditions, leading to cascading failures. In this regard, this paper presents a hierarchical fault detection and isolation method that facilitates FDI in complex networked systems while reducing the computational complexity and false alarms. The underlying algorithm is called System-Level Isolation and Detection (SLIDE), and it relies on a diagnostic tree that systematically isolates faulty subsystems and their components. The proposed method is tested and validated on the data generated from an experimentally validated simulation model of the ECS provided by our industry partner. The results show that the application of the SLIDE algorithm reduces the computational complexity and the false alarm rate, while maintaining a high Correct Classification Rate (CCR).
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Authors
Citation
Hare, J., Gupta, S., Najjar, N., D'Orlando, P. et al., "System-Level Fault Diagnosis with Application to the Environmental Control System of an Aircraft," SAE Technical Paper 2015-01-2583, 2015, https://doi.org/10.4271/2015-01-2583.Also In
References
- Yang , X.-B. , Jin , X.-Q. , Du , Z.-M. and Zhu , Y.-H. A Novel Model-based Fault Detection Method for Temperature Sensor using Fractal Correlation Dimension Building and Environment 46 4 970 979 2010
- Shang , L. and Liu , G. Heat Exchanger Fouling Detection in a Simulated Aircraft Engine Bleed Air Temperature Control System IEEE International Conference on Advanced Intelligent Mechatronics Montreal, Canada 774 778 2010
- Shang , L. and Liu , G. Sensor and Actuator Fault Detection and Isolation for a High Performance Aircraft Engine Bleed Air Temperature Control Yystem IEEE Transactions on Control Systems Technology 19 5 1260 1268 2011
- Shah , S. , Liu , G. and Greatrix , D. R. On-Line Fouling Detection of Aircraft Environmental Control System Cross Flow Heat Exchanger IEEE International Conference on Mechatronics and Automation Changchun, China 2940 2945 2009
- Yang , X.-B. , Jin , X.-Q. , Du , Z.-M. , Fan , B. and Zhu , Y.-H. Optimum Operating Performance Based Online Fault-Tolerant Control Strategy for Sensor Faults in Air Conditioning Systems Automation in Construction 37 145 154 2014
- Riverol , C. and Napolitano , V. Estimation of Fouling in a Plate Heat Exchanger Through the Application of Neural Networks Journal of chemical technology and biotechnology 80 5 594 600 2005
- Najjar , N. , Sankavaram , C. , Hare , J. , Gupta , S. et al. Health Assessment of Liquid Cooling System in Aircrafts: Data Visualization, Reduction, Clustering and Classification SAE Int. J. Aerosp. 5 1 119 127 2012 10.4271/2012-01-2106
- Najjar , N. , Hare , J. , D'Orlando , P. , Leaper , G. et al. Heat Exchanger Fouling Diagnosis for an Aircraft Air-Conditioning System SAE Technical Paper 2013-01-2250 2013 10.4271/2013-01-2250
- Gupta , S. , Ray , A. and Keller , E. Symbolic Time Series Analysis of Ultrasonic Data for Early Detection of Fatigue Damage Mechanical Systems and Signal Processing 21 2 866 884 2007
- Gupta , S. and Ray , A. Real-time Fatigue Life Estimation in Mechanical Systems Measurement Science and Technology 18 7 1947 1957 2007
- Singh , D. S. , Gupta , S. , and Ray , A. Online Recursive Estimation of Remaining Life Using Ultrasonic Measurements Structural Health Monitoring - An International Journal 11 4 413 421 2012
- Friedman , A. D. and Simoncini , L. System-Level Fault Diagnosis Computer 13 3 47 53 1980
- Pelc , A. Undirected Graph Models For System-level Fault Diagnosis IEEE Transactions on Computers 40 11 1271 1276 1991
- Deb , S. , Pattipati , K. R. , Raghavan , V. , Shakeri , M. and Shrestha , R. Multi-Signal Flow Graphs: A Novel Approach for System Testability Analysis and Fault Diagnosis IEEE AES Systems Magazine 10 5 14 25 1995
- Barua , A. , Sinha , P. and Khorasani , K. A Diagnostic Tree Approach for Fault Cause Identification in the Attitude Control Subsystem of Satellites IEEE Transactions on Aerospace and Electronic Systems 45 3 983 1002 2009
- Narasimhan , S. and Brownston , L. Hyde-a general framework for stochastic and hybrid modelbased diagnosis Proc. International Workshop on Principles of Diagnosis Nashville, USA 2007
- Low , C.B. , Wang , D. , Arogeti , S. and Luo , M. Quantitative Hybrid Bond Graph-Based Fault Detection and Isolation IEEE Transactions on Automation Science and Engineering 7 3 558 569 2010
- Wright , S. , Andrews , G. and Sabir , H. A Review Of Heat Exchanger Fouling In The Context Of Aircraft Air-Conditioning Systems, And The Potential For Electrostatic Filtering Applied Thermal Engineering 29 13 2596 2609 2009
- Duda , R. O. , Hart , P. E. and Stork , D. G. Pattern classification John Wiley & Sons 2012
- Moller , M. F. A Scaled Conjugate Gradient Algorithm For Fast Supervised Learning Neural networks 6 4 525 533 1993