This phenomenon is an accumulative process during execution, which will gradually lead the system from a normal state to a failure-prone state. It is a crucial ...
In this paper, permutation entropy (PE) is modified to Multidimensional Multi-scale Permutation Entropy (MMPE) as a novel aging indicator to ...
Perutation entropy is modified to Multidimensional Multi-scale Permutation Entropy (MMPE) as a novel aging indicator to detect performance anomalies, ...
This paper introduces CL-MMAD, a novel anomaly detection method based on contrastive learning using multimodal data sources. CL-MMAD uses ResNet-18 to learn the ...
... based software runtime anomaly detection method ... A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures.
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Chen et al. [25] proposed an Entropy-based aging indicator to predict aging related failures by defining failure threshold on the aging indicator. Similar work ...
A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures ... Entropy for Predicting Aging-Related Failures ...
Jul 30, 2020 · This paper presents anomaly detection in activities of daily living based on entropy measures. It is shown that the proposed approach will ...
Missing: Aging- Failures.
A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures · EntropyPub Date: 2020-10-27. Field-Applicable Pig ...
Ai, “A dynamic anomaly detection approach based on permutation entropy for predicting aging-related failures,” Entropy, vol. 22, no. 11, 2020, doi: 10.3390 ...