Diagnosis Model Based on Least Squares Support Vector Machine Optimized by Multi-swarm Cooperative Chaos Particle Swarm Optimization and Its Application

Ding, Guiguang; Wang, Lide; Yang, Peng; Shen, Ping; Dang, Shuping

doi:10.4304/jcp.8.4.975-982

Cited by 9 publications

(5 citation statements)

References 39 publications

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“…The particle swarm optimization (PSO) algorithm was proposed by Ebarhart RC and Kennedy J in the 1990s, inspired by the flocking activities of flying birds in nature [ 23 , 24 ]. PSO simulates the group behavior of birds when they are foraging.…”

Section: Linear Weight Particle Swarm Optimization (Lwpso)mentioning

confidence: 99%

Optimization Strategy of Rolling Mill Hydraulic Roll Gap Control System Based on Improved Particle Swarm PID Algorithm

Zeng

Xue²,

Zhao

2023

Biomimetics

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Medium and heavy plates are important strategic materials, which are widely used in many fields, such as large ships, weapons and armor, large bridges, and super high-rise buildings. However, the traditional control technology cannot meet the high-precision control requirements of the roll gap of the thick plate mill, resulting in errors in the thickness of the medium and heavy plate, thereby reducing the quality of the product. In response to this problem, this paper takes the 5500 mm thick plate production line as the research background, and establishes the model of the rolling mill plate thickness automatic control system, using the Ziegler–Nichol response curve method (Z-N), particle swarm optimization (PSO) algorithm and linear weight particle swarm optimization (LWPSO) algorithm, respectively, optimizes the parameter setting of the PID controller of the system, and uses OPC UA communication technology to realize the online semi-physical simulation of Siemens S7-1500 series PLC (Siemens, Munich, Germany) and MATLAB R2018b (The MathWorks, Natick, Massachusetts, United States). Comparative studies show that when the same roll gap displacement step signal is given, the overshoot of the system response using the LWPSO algorithm is reduced by 14.26% and 10.18% compared with the Z-N algorithm and the PSO algorithm, and the peak time is advanced by 0.31 s and 0.05 s. The stabilization time is reduced by 3.71 s and 4.31 s, which effectively improves the control accuracy and speed of the system and has stronger anti-interference ability. It has certain engineering reference and application value.

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Section: Linear Weight Particle Swarm Optimization (Lwpso)mentioning

confidence: 99%

Optimization Strategy of Rolling Mill Hydraulic Roll Gap Control System Based on Improved Particle Swarm PID Algorithm

Zeng

Xue²,

Zhao

2023

Biomimetics

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“…Virtual machine resource scheduling model Virtual machine resource scheduling problem can be formalized as follows [11][12][13][14]: cloud users need physical node to provide a large number of VM, defined virtual machine cluster…”

Section: Figurementioning

confidence: 99%

Optimal Virtual Machine Resources Scheduling Based on Improved Particle Swarm Optimization in Cloud Computing

Yuan¹,

Li²,

Du³

2014

JSW

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This paper presents virtual machines resources scheduling algorithm taking into computing capacity of processing elements and consideration their computational complexity. We apply the improved particle swarm optimization to solve virtual machines resources scheduling problem. The experiments show that the improved algorithms can provide effective solutions that the original algorithm can not provide on cloud systems.

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“…is the distance found in the current cell, and r(i,j) is the cumulative distance of d(i,j) and the minimum cumulative distances [19][20][21].…”

Section: Dynamic Time Warping Fault Detectionmentioning

confidence: 99%

A Model-Based Fault Detection Framework for Vacuum Circuit Breaker by Trip Coil Analysis

Zheng

2014

JSW

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Vacuum circuit breaker becomes more and more complicated, integrated, high-speed and intellectualized. To insure vacuum circuit breaker in its good conditions, the function of fault diagnosis gets more important than before in the process of repairing. This paper is addressed a modelbased fault detection framework for vacuum circuit breaker by trip coil analysis. At first, the electromagnetic model of the trip coil is built. Secondly, algorithm of abrupt changes detection and dynamic time warping algorithm is introduced. At last, value comparison between the similarity and the threshold concludes whether a fault has occurred or the trip coil has potentially hazardous effects. The experimental results show that this method is effective.

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Diagnosis Model Based on Least Squares Support Vector Machine Optimized by Multi-swarm Cooperative Chaos Particle Swarm Optimization and Its Application

Cited by 9 publications

References 39 publications

Optimization Strategy of Rolling Mill Hydraulic Roll Gap Control System Based on Improved Particle Swarm PID Algorithm

Optimization Strategy of Rolling Mill Hydraulic Roll Gap Control System Based on Improved Particle Swarm PID Algorithm

Optimal Virtual Machine Resources Scheduling Based on Improved Particle Swarm Optimization in Cloud Computing

A Model-Based Fault Detection Framework for Vacuum Circuit Breaker by Trip Coil Analysis

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