Wenzhuo Wang

Orcid: 0000-0002-3878-0968

According to our database1, Wenzhuo Wang authored at least 12 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Spatiotemporal variations of the precipitation in the Yellow River Basin considering climate and instrumental disturbance.
Environ. Model. Softw., 2025

2024
Analysis and Protection Studies of Bird Droppings Falling on the Electric Field Distribution Near the 330-kV Transmission Line V-Type Composite Insulators.
IEEE Access, 2024

2023
Frequency Response Mode Prediction of Power System After Large Disturbances Based on Deep Belief Neural Network.
IEEE Access, 2023

2022
Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems.
Reliab. Eng. Syst. Saf., 2022

2021
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence.
Reliab. Eng. Syst. Saf., 2021

Functional risk-oriented integrated preventive maintenance considering product quality loss for multistate manufacturing systems.
Int. J. Prod. Res., 2021

Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Response Characteristic Analysis of Long Dipole Antennas excited by HEMP waves.
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2021, Shenzhen, 2021

2020
Functional risk-oriented health prognosis approach for intelligent manufacturing systems.
Reliab. Eng. Syst. Saf., 2020

2019
Mission Reliability-Oriented Selective Maintenance Optimization for Intelligent Multistate Manufacturing Systems With Uncertain Maintenance Quality.
IEEE Access, 2019

2017
Ensemble Learning-Based Wind Turbine Fault Prediction Method with Adaptive Feature Selection.
Proceedings of the Data Science, 2017

An Improved SVM Based Wind Turbine Multi-fault Detection Method.
Proceedings of the Data Science, 2017


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