SVM-BiLSTM: A Fault Detection Method for the Gas Station IoT System Based on Deep Learning

SVM-BiLSTM: A Fault Detection Method for the Gas Station IoT System Based on Deep Learning

In this article, a bi-directional long-short term memory (BiLSTM) network algorithm combined with a support vector machine (SVM), SVM-BiLSTM, is proposed to detect faults in the Gas Station Internet of Things (GS-IoT) system. The operational process data in the GS-IoT System, which is collected from...

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Bibliographic Details
Main Authors: Yao Jiahao, Xiaoning Jiang, Shouguang Wang, Kelei Jiang, Xiaohan Yu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
SVM-BiLSTM
fault detection
sentiment analysis
IoT system
Online Access:https://ieeexplore.ieee.org/document/9245468/

Internet

https://ieeexplore.ieee.org/document/9245468/

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