Pinghua Zhang

ORCID: 0009-0008-4945-2995
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About
Contact & Profiles
Research Areas
  • Industrial Technology and Control Systems
  • Power Systems Fault Detection
  • Educational Technology and Pedagogy
  • Technology and Security Systems
  • Medical Research and Treatments
  • Simulation and Modeling Applications
  • Advanced Data and IoT Technologies
  • E-commerce and Technology Innovations
  • Smart Grid and Power Systems
  • Regional Development and Environment
  • Ideological and Political Education

PLA Army Service Academy
2023-2024

Hunan Communications Research Institute
2022

Accurate fault detection and classification help to analyze causes quickly restore faulty phases. Deep learning can automatically extract features identify types from the original three-phase voltage current signals. However, this still imposes challenges such as recognition accuracy computational complexity. More importantly, high level cannot be extracted in one-dimensional time series. This paper presents a robust method based on SA-MobileNetV3 for transmission systems. Considering that...

10.1016/j.egyr.2022.12.043 article EN cc-by-nc-nd Energy Reports 2022-12-19

With the rapid development of artificial intelligence technology, intelligent teaching systems based on neural networks have gradually become a research hotspot in field education. This article explores status, key technologies, and application prospects through comprehensive literature analysis. Research has shown that enormous potential advantages personalized teaching, learning evaluation, assisted teaching. However, there are still some challenges design implementation system, such as...

10.1145/3640824.3640833 article EN 2024-01-26

With the widespread application of unmanned equipment on battlefield, research autonomous technology has entered a rapid development stage. The combat systems is becoming increasingly widespread, and various types military robots are emerging in large numbers. These with higher intelligence, more flexible movements, faster reactions moving from behind scenes to front stage war. This article analyzes basic situation process robots, lists typical US their situation, proposes prospects robots....

10.1109/acirs58671.2023.10239710 article EN 2023-07-07

Accurate fault detection and classification help to analyze causes quickly restore faulty phases. This paper presents a robust method based on SA-MobileNetV3 for transmission systems. Considering that the SE (Squeeze-and-Excitation) attention module cannot aggregate spatial dimension information channel, SA (shuffle attention) is introduced into MobileNetV3, which can effectively fuse importance of pixels in different channels locations at same channel. Also, transforming signals two...

10.2139/ssrn.4226448 article EN SSRN Electronic Journal 2022-01-01
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