An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis
Joint Authors
Zhou, Deyun
Ma, Ling
Zhang, Yuyuan
Tang, Yongchuan
Lv, Xiaofeng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The fault rate in equipment increases significantly along with the service life of the equipment, especially for multiple fault.
Typically, the Bayesian theory is used to construct the model of faults, and intelligent algorithm is used to solve the model.
Lagrangian relaxation algorithm can be adopted to solve multiple fault diagnosis models.
But the mathematical derivation process may be complex, while the updating method for Lagrangian multiplier is limited and it may fall into a local optimal solution.
The particle swarm optimization (PSO) algorithm is a global search algorithm.
In this paper, an improved Lagrange-particle swarm optimization algorithm is proposed.
The updating of the Lagrangian multipliers is with the PSO algorithm for global searching.
The difference between the upper and lower bounds is proposed to construct the fitness function of PSO.
The multiple fault diagnosis model can be solved by the improved Lagrange-particle swarm optimization algorithm.
Experiment on a case study of sensor data-based multiple fault diagnosis verifies the effectiveness and robustness of the proposed method.
American Psychological Association (APA)
Lv, Xiaofeng& Zhou, Deyun& Ma, Ling& Zhang, Yuyuan& Tang, Yongchuan. 2020. An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis. Shock and Vibration،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1209632
Modern Language Association (MLA)
Lv, Xiaofeng…[et al.]. An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis. Shock and Vibration No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1209632
American Medical Association (AMA)
Lv, Xiaofeng& Zhou, Deyun& Ma, Ling& Zhang, Yuyuan& Tang, Yongchuan. An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1209632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209632