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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Veröffentlicht in:	2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) S. 264 - 269
Hauptverfasser:	Yan, Zichen, Zhang, Haonan, Sun, Jianzhong, Yang, Yi, Xia, Guangwei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 15.10.2020
Schlagworte:	aero-engine test data Anomaly detection Clustering algorithms data analysis Engines Fault detection Gas detectors Libraries python algorithm package Sensors
Online-Zugang:	Volltext
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