scholarly journals Anomaly Detection Method for Multimode Complex Industrial Process Based on Multiple Subspaces Slow Feature Analysis

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 119722-119734
Author(s):  
Hao Xu ◽  
Huiqun Yu
Keyword(s):  
Anomaly Detection ◽  
Detection Method ◽  
Industrial Process ◽  
Feature Analysis ◽  
Slow Feature Analysis

Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring

2020 ◽  
Vol 69 (12) ◽  
pp. 9535-9548 ◽  
Author(s):  
Xin Ma ◽  
Yabin Si ◽  
Zeyi Yuan ◽  
Yihao Qin ◽  
Youqing Wang
Keyword(s):  
Process Monitoring ◽  
Industrial Process ◽  
Feature Analysis ◽  
Slow Feature Analysis

Video anomaly detection using deep incremental slow feature analysis network

2016 ◽  
Vol 10 (4) ◽  
pp. 258-267 ◽  
Author(s):  
Xing Hu ◽  
Shiqiang Hu ◽  
Yingping Huang ◽  
Huanlong Zhang ◽  
Hanbing Wu
Keyword(s):  
Anomaly Detection ◽  
Feature Analysis ◽  
Slow Feature Analysis

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Detection Method ◽  
Series Data

Proposal of the Anomaly Detection Method of Live-alone by LOF using Multiple Sensors

2015 ◽  
Vol 135 (12) ◽  
pp. 749-755
Author(s):  
Taiyo Matsumura ◽  
Ippei Kamihira ◽  
Katsuma Ito ◽  
Takashi Ono
Keyword(s):  
Anomaly Detection ◽  
Detection Method ◽  
Multiple Sensors
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