TY - JOUR
T1 - Multi-sensor information fusion for fault detection in aircraft gas turbine engines
AU - Sarkar, Soumik
AU - Sarkar, Soumalya
AU - Mukherjee, Kushal
AU - Ray, Asok
AU - Srivastav, Abhishek
N1 - Funding Information:
This work has been supported in part by NASA under Cooperative Agreement No. NNX07AK49A, by the U.S. Army Research Laboratory and the U.S. Army Research Office under Grant No. W911NF-07-1-0376. Acknowledgments
PY - 2013/12
Y1 - 2013/12
N2 - The article addresses data-driven fault detection in commercial aircraft gas turbine engines in the framework of multisensor information fusion and symbolic dynamic filtering. The hierarchical decision and control structure, adopted in this article, involves construction of composite patterns, namely, atomic patterns extracted from single sensors, and relational patterns representing cross-dependence between a pair of sensors. While the underlying theories are presented along with necessary assumptions, the proposed method is validated on the NASA C-MAPSS simulation test bed of aircraft gas turbine engines; both single-fault and multiple-fault scenarios have been investigated. Since aircraft engines undergo natural degradation during the course of their normal operation, the issue of distinguishing between a fault and natural degradation is also addressed.
AB - The article addresses data-driven fault detection in commercial aircraft gas turbine engines in the framework of multisensor information fusion and symbolic dynamic filtering. The hierarchical decision and control structure, adopted in this article, involves construction of composite patterns, namely, atomic patterns extracted from single sensors, and relational patterns representing cross-dependence between a pair of sensors. While the underlying theories are presented along with necessary assumptions, the proposed method is validated on the NASA C-MAPSS simulation test bed of aircraft gas turbine engines; both single-fault and multiple-fault scenarios have been investigated. Since aircraft engines undergo natural degradation during the course of their normal operation, the issue of distinguishing between a fault and natural degradation is also addressed.
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U2 - 10.1177/0954410012468391
DO - 10.1177/0954410012468391
M3 - Article
AN - SCOPUS:84885595059
SN - 0954-4100
VL - 227
SP - 1988
EP - 2001
JO - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
IS - 12
ER -