Lei et al., 2023 - Google Patents
Mutual information based anomaly detection of monitoring data with attention mechanism and residual learningLei et al., 2023
- Document ID
- 12909280815113093712
- Author
- Lei X
- Xia Y
- Wang A
- Jian X
- Zhong H
- Sun L
- Publication year
- Publication venue
- Mechanical Systems and Signal Processing
External Links
Snippet
Due to the damage of sensors or transmission equipment, abnormal monitoring data inevitably exists in the measured raw data, and it significantly impacts the condition assessment of measured structures. Detecting abnormal monitoring data is generally difficult …
- 238000001514 detection method 0 title description 55
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6228—Selecting the most significant subset of features
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- G06N99/00—Subject matter not provided for in other groups of this subclass
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- G06Q10/00—Administration; Management
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