SSA-CAE-Based Abnormal Data Classification Method in Edge Intelligence Device of CNC Machine

نویسندگان

چکیده

Smart factories and big data are important factors in the Fourth Industrial Revolution. aim for automation integration; however, most part is application of data. Despite extensive research on maintenance quality management data-based production equipment, industrial gathered analysis contain more normal than abnormal In addition, a significant amount energy expended pre-processing process to analyze acquired Therefore, maintain equipment management, classification technology that allows easy by classifying into required. this paper, we propose an architecture cycle sets from facilities through SSA-CAE along with storage methods each product unit. hybrid technique combines singular spectrum (SSA) techniques effective reducing noise time series convolutional auto encoder (CAE) have performed well series.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app12125864