A Method for Aero-Engine Gas Path Anomaly Detection Based on Markov Transition Field and Multi-LSTM

A Method for Aero-Engine Gas Path Anomaly Detection Based on Markov Transition Field and Multi-LSTM

There are some problems such as uncertain thresholds, high dimension of monitoring parameters and unclear parameter relationships in the anomaly detection of aero-engine gas path. These problems make it difficult for the high accuracy of anomaly detection. In order to improve the accuracy of aero-en...

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Bibliographic Details
Main Authors: Langfu Cui, Chaoqi Zhang, Qingzhen Zhang, Junle Wang, Yixuan Wang, Yan Shi, Cong Lin, Yang Jin
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Aerospace
Subjects:
aero-engine gas path
anomaly detection
Markov Transition Field
hierarchical clustering
LSTM
Gaussian mixture model
Online Access:https://www.mdpi.com/2226-4310/8/12/374

Internet

https://www.mdpi.com/2226-4310/8/12/374

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