Online Anomaly Detection for Aeroengine Gas Path Based on Piecewise Linear Representation and Support Vector Data Description
Author:
Affiliation:
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9966666/09865869.pdf?arnumber=9865869
Reference27 articles.
1. A Method for Aero-Engine Gas Path Anomaly Detection Based on Markov Transition Field and Multi-LSTM
2. A Weakly Supervised Gas-Path Anomaly Detection Method for Civil Aero-Engines Based on Mapping Relationship Mining of Gas-Path Parameters and Improved Density Peak Clustering
3. A Data Quality Control Method for Seafloor Observatories: The Application of Observed Time Series Data in the East China Sea
4. SurveilNet: A Lightweight Anomaly Detection System for Cooperative IoT Surveillance Networks
5. Detecting distance-based outliers in streams of data
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