A fault mode identification methodology based on self-organizing map
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04692-x.pdf
Reference49 articles.
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4. Naderi E, Khorasani K (2017) Data-driven fault detection, isolation and estimation of aircraft gas turbine engine actuator and sensors. In: 2017 IEEE 30th Canadian conference on electrical and computer engineering (CCECE), Windsor, ON. IEEE, pp 1–6. https://doi.org/10.1109/ccece.2017.7946715
5. Sarkar S, Jin X, Ray A (2011) Data-driven fault detection in aircraft engines with noisy sensor measurements. J Eng Gas Turbines Power 133(8):081602. https://doi.org/10.1115/1.4002877
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