Equipment anomaly detection method under cloud-edge collaboration model based bi-directional long short-term memory and variational autoencoder

Chao Yin; Yujie Liu; Xiaobin Li

doi:10.1117/12.3006016

10 October 2023 Equipment anomaly detection method under cloud-edge collaboration model based bi-directional long short-term memory and variational autoencoder

Chao Yin, Yujie Liu, Xiaobin Li

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127993Q (2023) https://doi.org/10.1117/12.3006016
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Aiming at the problems of large amount of heterogeneous Industrial data, high fault concealment, complex feature engineering of traditional methods, an anomaly detection method combined with Bi-directional long-short term memory, variational autoencoder and whale optimization algorithm based on cloud-edge collaboration. By integrating the output of each detection models with different dimensions through the residual weight matrix, to obtain the comprehensive residual value, and compare with the residual threshold for anomaly detection. Through the experiments on SKAB and TEP datasets, the results verify the effectiveness and general adaptability of the proposed method, and the anomaly detection accuracy is higher than a single detection model and existing anomaly algorithms such as CNN and LSTM-AE.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Chao Yin, Yujie Liu, and Xiaobin Li "Equipment anomaly detection method under cloud-edge collaboration model based bi-directional long short-term memory and variational autoencoder", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127993Q (10 October 2023); https://doi.org/10.1117/12.3006016

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KEYWORDS

Data modeling

Detection and tracking algorithms

Clouds

Education and training

Mathematical optimization

Matrices

Instrument modeling

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