Comparative study of the 1DCNN, WT–2DCNN, LSTM, and 1DCNN-LSTM models to predict machinery faults based on vibrations measured from a simulation facility for petrochemical processes

Journal of Inclusion Phenomena and Macrocyclic Chemistry 2026

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Authors: Daehyeon Ji, Chang-Ju Park, Hyeon Woo Kim, Yangkyu Park

DOI: 10.1007/s10847-026-01332-5

Cited by: 1

References: 21

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Fault Detection and Control Systems Structural Health Monitoring Techniques

References 21