Research on Fault Diagnosis and Optimization of Crusher Based on Atom Search Algorithm-BP Neural Network

Ma, Ling; Zhang, Yong; Sun, Pu; Cao, Feilong; Liu, Yu‐Hang

doi:10.1109/ccdc49329.2020.9164583

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meanwhile, when there was a long cable fault distance, there would be attenuation and loss of reflected wave in transmission, which would also result in the increase of location error. Li Mingyang et al [4] proposed a hierarchical fault location method based on a genetic algorithm and established a hierarchical fault location model by analyzing the influence mechanism of the switching function, which improved the convergence rate of the algorithm and allowed accurate and rapid fault location, but it was easy to fall into local optimization.…”

Section: Introductionmentioning

confidence: 99%

Research on fault location algorithm of city cables based on IAGA-BP

Luo

2023

Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023)

View full text Add to dashboard Cite

Aiming at the difficulty of locating cable open circuit faults, the paper proposes a location method of the improved adaptive genetic algorithm combined with the BP neural network. The improved adaptive genetic algorithm is used to optimize the selection of the weight threshold of the BP neural network, and the predicted location results are compared with the same type of algorithms. The results show that the combined method of the improved adaptive genetic algorithm and BP neural network has a better effect on the location of cable fault distance. Finally, an example of faulty cables in a phased array radar cabinet is used to verify the feasibility of the proposed method in locating the cable open circuit fault.

show abstract

Section: Introductionmentioning

confidence: 99%