Packing Machine Bearing Fault Diagnosis Based on the Butterfly-Particle Swarm Hybrid Algorithm and BiLSTM

TAN Jingjing; LI Hao; QU Quanpeng

doi:10.19554/j.cnki.1001-3563.2026.17.029

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (17) : 290-296. DOI: 10.19554/j.cnki.1001-3563.2026.17.029

Automatic and Intelligent Technology

Packing Machine Bearing Fault Diagnosis Based on the Butterfly-Particle Swarm Hybrid Algorithm and BiLSTM

TAN Jingjing¹, LI Hao², QU Quanpeng³

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Abstract

To address the difficult early detection of faults in packaging machine bearings, the work aims to study a fault diagnosis method for packaging machine bearings based on the butterfly-particle swarm hybrid algorithm (BOA-PSO) and bidirectional long short-term memory network (BiLSTM) to improve the efficiency of equipment operation and maintenance. Considering the significant impact of BiLSTM parameter settings on the final diagnosis results, the BOA-PSO algorithm was proposed by integrating the advantages of the butterfly optimization algorithm (BOA) and the particle swarm optimization (PSO) algorithm to achieve adaptive selection of BiLSTM parameters, thereby enabling faster and more accurate identification of packaging bearing fault states. The average diagnosis accuracy of BOA-PSO-BiLSTM for 7 bearing states reached 98.43%. In the comparison with the same optimization algorithm but different recognition methods, it was at least 2.57% higher than the other four methods. In the comparison with different optimization algorithms but the same pattern recognition method, it was at least 3% higher than the other four optimized BiLSTM methods. BOA-PSO-BiLSTM can effectively solve the diagnosis problems of packaging machine bearings in complex working conditions at an early stage, providing an intelligent diagnosis solution for predictive maintenance of packaging machine bearings.

Key words

bidirectional long short-term memory / butterfly optimization algorithm / particle swarm optimization / packing machine bearing / fault diagnosis

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TAN Jingjing, LI Hao, QU Quanpeng. Packing Machine Bearing Fault Diagnosis Based on the Butterfly-Particle Swarm Hybrid Algorithm and BiLSTM[J]. Packaging Engineering. 2026, 47(17): 290-296 https://doi.org/10.19554/j.cnki.1001-3563.2026.17.029

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