An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines

IEEE Access ◽

10.1109/access.2021.3098024 ◽

2021 ◽

Vol 9 ◽

pp. 102671-102686

Author(s):

Chun-Yao Lee ◽

Truong-An Le

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Electrical Machines ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Optimal Feature Selection ◽

Optimal Feature

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Optimal Feature Selection based on Image Pre-processing using Accelerated Binary Particle Swarm Optimization for Enhanced Face Recognition

Procedia Engineering ◽

10.1016/j.proeng.2012.01.924 ◽

2012 ◽

Vol 30 ◽

pp. 750-758 ◽

Cited By ~ 8

Author(s):

M.U. Aneesh ◽

Abhishek A.K. Masand ◽

K. Manikantan

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Face Recognition ◽

Particle Swarm ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Optimal Feature Selection ◽

Optimal Feature

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Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis–Taguchi System

Soft Computing ◽

10.1007/s00500-019-03911-w ◽

2019 ◽

Vol 24 (1) ◽

pp. 341-349

Author(s):

Edgar O. Reséndiz-Flores ◽

Jesús Alejandro Navarro-Acosta ◽

Agustín Hernández-Martínez

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Particle Swarm ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Optimal Feature Selection ◽

Gravitational Search ◽

Optimal Feature

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Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory

IEEE Access ◽

10.1109/access.2020.3035081 ◽

2020 ◽

Vol 8 ◽

pp. 198343-198356

Author(s):

Chun-Yao Lee ◽

Truong-An Le

Keyword(s):

Feature Extraction ◽

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Particle Swarm ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Multiple Feature ◽

Diagnosis Model

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Rolling Bearing Fault Diagnosis Based on the Hybrid Algorithm of Particle Swarm Optimization with Neighborhood Operator

2012 International Conference on Computer Science and Electronics Engineering ◽

10.1109/iccsee.2012.369 ◽

2012 ◽

Author(s):

Jia-tang Cheng ◽

Li Ai ◽

Wei Xiong

Keyword(s):

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Hybrid Algorithm ◽

Particle Swarm ◽

Rolling Bearing ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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A Bearing Fault Diagnosis Method Based on Autoencoder and Particle Swarm Optimization – Support Vector Machine

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95930-6_28 ◽

2018 ◽

pp. 298-308 ◽

Cited By ~ 3

Author(s):

Duy-Tang Hoang ◽

Hee-Jun Kang

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Diagnosis Method

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Regrouping Particle Swarm Optimization-Based Neural Network for Bearing Fault Diagnosis

2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) ◽

10.1109/sdpc.2017.123 ◽

2017 ◽

Author(s):

Yixiao Liao ◽

Lei Zhang ◽

Weihua Li

Keyword(s):

Neural Network ◽

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Particle Swarm ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Application of Human Cognitive Self Regulating Particle Swarm Optimization and Stochastic Resonance in Bearing Fault Diagnosis

DEStech Transactions on Computer Science and Engineering ◽

10.12783/dtcse/cmee2017/20048 ◽

2018 ◽

Author(s):

Chao ZHANG ◽

Yuan-yuan HE ◽

Jian-guo WANG ◽

Teng-fei ZHU

Keyword(s):

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Stochastic Resonance ◽

Particle Swarm ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Particle swarm optimization-based kurtosis maximization in fractional Hilbert transform for bearing fault diagnosis

Life Cycle Reliability and Safety Engineering ◽

10.1007/s41872-018-0063-7 ◽

2018 ◽

Vol 7 (4) ◽

pp. 285-290 ◽

Cited By ~ 3

Author(s):

Ankush C. Jahagirdar ◽

Karunesh Kumar Gupta

Keyword(s):

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Hilbert Transform ◽

Particle Swarm ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Fractional Hilbert Transform ◽

Kurtosis Maximization

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Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion

Journal of Intelligent Manufacturing ◽

10.1007/s10845-014-0987-3 ◽

2014 ◽

Vol 28 (2) ◽

pp. 405-417 ◽

Cited By ~ 33

Author(s):

Ridha Ziani ◽

Ahmed Felkaoui ◽

Rabah Zegadi

Keyword(s):

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Support Vector ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Bearing Fault Diagnosis ◽

Vector Machines ◽

Fisher’S Criterion ◽

Multiclass Support Vector Machines

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A parameter-adaptive ACMD method based on particle swarm optimization algorithm for rolling bearing fault diagnosis under variable speed

Journal of Mechanical Science and Technology ◽

10.1007/s12206-021-0405-7 ◽

2021 ◽

Author(s):

Zengqiang Ma ◽

Feiyu Lu ◽

Suyan Liu ◽

Xin Li

Keyword(s):

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Rolling Bearing ◽

Variable Speed ◽

Swarm Optimization ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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