Development and Application of Aero-engine Experimental Data Mining Algorithm Library

This paper presents the application of several anomaly detection algorithms in experiment data from engine test bed. Several anomaly detection algorithms are programmed in Python language and integrated into an algorithm library named PyPEFD (Python Package for Engine Fault Detection). The algorithm...

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Vydané v:	2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) s. 264 - 269
Hlavní autori:	Yan, Zichen, Zhang, Haonan, Sun, Jianzhong, Yang, Yi, Xia, Guangwei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.10.2020
Predmet:	aero-engine test data Anomaly detection Clustering algorithms data analysis Engines Fault detection Gas detectors Libraries python algorithm package Sensors
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