Pengju Gao - IEEE Xplore Author Profile
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Pengju Gao

Publications
2
Citations
5
Publications by Year
20202025
Co-Authors:
Show All Co-Authors (8)
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Pengju Gao

Affiliation

Foshan Nanhai Power Supply Bureau
Guangdong PowerGrid
Guangdong, China

Publication Topics

Biography

Pengju Gao received the B.S. degree in electrical engineering from Henan University of Technology, Henan, China. He is currently working toward the M.S. degree in electrical engineering from Shanghai University of Electric Power, Shanghai, China.,His main research interests include the power cable in power electronics systems.(Based on document published on 16 October 2024).
Publications
2
Citations
5
Publications by Year
20202025
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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An Improved Power Cable Insulation Monitoring Method for Inverter-Fed Machines Using Switching Oscillation Damping Feature

Hao Li;Jinlong Ma;Dawei Xiang;Pengju Gao;Sitian Zhu;Pinjia Zhang

IEEE Transactions on Power Electronics
Year: 2025 | Volume: 40, Issue: 2 | Journal Article |
Online cable condition monitoring is a reliability enhancement technique for inverter-fed machine systems, which requires high sensitivity with quantitative assessment capability to detect the incipient insulation degradation as early as possible. This article presents a noncontact cable condition monitoring method by utilizing the inverter's self-excited high-frequency (HF) pulsewidth modulation ...Show More

An Improved Power Cable Insulation Monitoring Method for Inverter-Fed Machines Using Switching Oscillation Damping Feature

Hao Li;Jinlong Ma;Dawei Xiang;Pengju Gao;Sitian Zhu;Pinjia Zhang

Year: 2025 | Volume: 40, Issue: 2 | Journal Article |

Thrust Allocation of Dynamic Positioning based on Improved Differential Evolution Algorithm

Fuguang Ding;Pengju Gao;Xiaoyun Zhang;Yuanhui Wang

2020 39th Chinese Control Conference (CCC)
Year: 2020 | Conference Paper |
Cited by: Papers (5)
Thrust allocation is an important part of the marine dynamic positioning system (DPS). It distributes the command forces and moments from the controller to the individual thruster. An improved different evolution algorithm (IDE) is proposed to solve the thrust allocation problem. This algorithm uses the new mutation operator and terminal condition. Simulation results show that this algorithm can s...Show More

Thrust Allocation of Dynamic Positioning based on Improved Differential Evolution Algorithm

Fuguang Ding;Pengju Gao;Xiaoyun Zhang;Yuanhui Wang

Year: 2020 | Conference Paper |

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