A Robustness Temperature Inversion Method for Cable Straight Joints Based on Improved Sparrow Search Algorithm Optimized BPNN

The temperature of cable conductor is of great significance to improve the current carrying capacity, asset utilization and safe operation of cable lines. Aiming at the problems of slow calculation speed, low accuracy and weak anti-interference ability of the current temperature calculation methods,...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.100137-100150
Hauptverfasser:	Zhan, Qinghua, Ruan, Jiangjun, Zhu, Hesheng, Wang, Yuli
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Back propagation networks BP neural network cable straight joint Carrying capacity Computer simulation Conductors Convergence Heuristic algorithms Mathematical models Neural networks Optimization Particle swarm optimization Perturbation Power cables Prediction algorithms Robustness Search algorithms Simulation models Sparrow search algorithm Temperature distribution temperature inversion Temperature measurement tent chaos
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