A new intelligent fault diagnosis method for bearing in different speeds based on the FDAF-score algorithm, binary particle swarm optimization, and support vector machine
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04516-z
Abstract: In this paper, a new hybrid intelligent technique is presented based on the improvement in the feature selection method for multi-fault classification. The bearing conditions used in this study include healthy condition, defective inner ring,… read more here.
Keywords: fdaf score; fault; binary particle; feature ... See more keywords
Normal parameter reduction algorithm in soft set based on hybrid binary particle swarm and biogeography optimizer
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04423-2
Abstract: Existing classification techniques that are proposed previously for eliminating data inconsistency could not achieve an efficient parameter reduction in soft set theory, which effects on the obtained decisions. Meanwhile, the computational cost made during combination… read more here.
Keywords: reduction; binary particle; algorithm; parameter reduction ... See more keywords
Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-014-0987-3
Abstract: Condition monitoring of rotating machinery has attracted more and more attention in recent years in order to reduce the unnecessary breakdowns of components such as bearings and gears which suffer frequently from failures. Vibration based… read more here.
Keywords: binary particle; regularized fisher; support vector; bearing fault ... See more keywords
Area-to-point heat conduction enhancement using binary particle swarm optimization
Sign Up to like & getrecommendations! Published in 2019 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2019.04.017
Abstract: Abstract The area-to-point heat conduction problem is solved using a discrete binary particle swarm optimization (BPSO) algorithm. The distribution of conductive materials is optimized to form a tree-shaped conducting path, which can significantly reduce the… read more here.
Keywords: area point; heat; particle swarm; binary particle ... See more keywords
SEM-Net: Deep features selections with Binary Particle Swarm Optimization Method for classification of scanning electron microscope images
Sign Up to like & getrecommendations! Published in 2021 at "Materials today communications"
DOI: 10.1016/j.mtcomm.2021.102198
Abstract: Abstract Materials Science is increasingly handling artificial intelligence methods to address the complexity in the field of everyday life necessities. Researchers in both academia and industry are interested in imaging techniques used in the characterization… read more here.
Keywords: optimization method; method; swarm optimization; particle swarm ... See more keywords
Three-dimensional multiphase full-loop simulation of directional separation of binary particle mixtures in high-flux coal-direct chemical-looping combustion system
Sign Up to like & getrecommendations! Published in 2020 at "Particuology"
DOI: 10.1016/j.partic.2019.04.004
Abstract: Abstract Coal-direct chemical-looping combustion (CDCLC) is a promising coal combustion technique that provides CO2 capture with a low energy penalty. In this study, we developed a three-dimensional Eulerian–Eulerian multiphase full-loop model for simulating the circulation… read more here.
Keywords: system; separation; binary particle; particle mixtures ... See more keywords
Investigation of mixing homogeneity of binary particle systems in high-shear wet granulator by DEM
Sign Up to like & getrecommendations! Published in 2023 at "Drug Development and Industrial Pharmacy"
DOI: 10.1080/03639045.2023.2194993
Abstract: Abstract To provide a theoretical foundation and a good understanding for the real manufacturing granulation process, this paper investigates the effect of particle properties on the mixing process in the high-shear wet granulator, a common… read more here.
Keywords: binary particle; mixing homogeneity; size; particle ... See more keywords
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933010
Abstract: This paper introduces a novel optimal schedule controller to manage renewable energy resources (RESs) in virtual power plant (VPP) using binary particle swarm optimization (BPSO) algorithm. It is crucial to minimize the costs giving priority… read more here.
Keywords: optimization; power plant; particle swarm; binary particle ... See more keywords
Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035081
Abstract: This article presents an effective bearing fault diagnosis model based on multiple extraction and selection techniques. In multiple feature extraction, the discrete wavelet transform, envelope analysis, and fast Fourier transform are considered. While the combined… read more here.
Keywords: extended memory; swarm optimization; particle swarm; binary particle ... See more keywords
Bandwidth Improvement of an Inverted-F Antenna Using Dynamic Hybrid Binary Particle Swarm Optimization
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DOI: 10.3390/app11062559
Abstract: This paper proposes a Dynamic Hybrid Binary Particle Swarm Optimization (DH-BPSO) algorithm to improve the bandwidth of an inverted-F antenna (IFA). The proposed algorithm improves upon the existing Artificial Immune System (AIS) algorithm by including… read more here.
Keywords: optimization; hybrid binary; particle swarm; binary particle ... See more keywords
Fitness-Based Acceleration Coefficients Binary Particle Swarm Optimization (FACBPSO) to Solve the Discounted Knapsack Problem
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061208
Abstract: The discounted {0-1} knapsack problem (D{0-1}KP) is a multi-constrained optimization and an extended form of the 0-1 knapsack problem. The DKP is composed of a set of item batches where each batch has three items… read more here.
Keywords: acceleration coefficients; swarm optimization; particle swarm; binary particle ... See more keywords