Name
Title | ||
|---|---|---|
Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines |
Abstract | ||
|---|---|---|
This paper presents a data-driven symbolic dynamics-based method for detection of incipient faults in gas turbine engines of commercial aircraft. Detection of incipient faults in such engines could be significantly manifested by taking advantage of transient data (e.g., during takeoff). From this perspective, the fault detection and classification algorithms are built upon the recently reported work on symbolic dynamic filtering. In particular, Markov model-based analysis of steady state data is extended by taking advantage of the available transient data. The fault detection and classification procedure has been validated on the NASA C-MAPSS transient test case generator. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ACC.2012.6315253 | ACC |
Keywords | DocType | ISSN |
Fault Detection,steady state data,gas turbine engines,Markov model-based analysis,NASA C-MAPSS transient test case generator,pattern classification,Transient Time-series Analysis,aircraft gas turbine engines,aircraft,aerospace engines,fault classification algorithms,data-driven symbolic dynamics-based method,fault diagnosis,symbolic transient time-series analysis,incipient faults detection,commercial aircraft,Aircraft Gas Turbine Engines,symbolic dynamic filtering,Symbolic Dynamics,Markov processes,gas turbines,time series | Conference | 0743-1619 E-ISBN : 978-1-4673-2102-0 |
ISBN | Citations | PageRank |
978-1-4673-2102-0 | 1 | 0.37 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumalya Sarkar | 1 | 33 | 4.76 |
| Kushal Mukherjee | 2 | 105 | 12.83 |
| Soumik Sarkar | 3 | 197 | 28.75 |
| Ray, A. | 4 | 832 | 184.32 |