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Found 4 papers, 1 papers with code
Similarity-Based Predictive Maintenance Framework for Rotating Machinery
For each feature type, three similarity metrics, namely structural similarity measure (SSM), cosine similarity, and Euclidean distance are used to measure the similarity between test signals and reference signals in the feature space.
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
As a substantial amount of multivariate time series data is being produced by the complex systems in Smart Manufacturing, improved anomaly detection frameworks are needed to reduce the operational risks and the monitoring burden placed on the system operators.
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
We introduce a transfer learning framework for anomaly detection based on similarity measure with a Model of Normality (MoN) and show that with the proposed threshold settings, a significant performance improvement can be achieved.
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
In this paper, we address that challenge by training the CNN on surface texture patches with a distance-based anomaly detection objective instead.
