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Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN 1 Introduction 1 Deep belief network theory and salp swarm algorithm 2 Deep belief network 2 Restricted boltzmann machine 3 Salp swarm algorithm 3 The proposed method (SSA-SADBN) 4 Optimization design of DBN 4 Structure of SADBN 4 Feature extraction 5 Bearing fault diagnosis steps 5 Experiment verification 5 Experimental data description 5 Intelligent fault diagnosis of rolling bearings 6 Rolling bearing experiment 1 8 Rolling bearing experiment 2 11 Rolling bearing experiment 3 12 Rolling bearing experiment 4 13 Experimental results and analysis 16 Conclusion 17 Nomenclature 17 Declaration of competing interest 17 Acknowledgments 17 Appendix 17 References 17
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