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Fault perception analysis of distribution network based on FAGA-BP neural network algorithm

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Fault perception analysis of distribution network based on FAGA-BP neural network algorithm

LI Wenke et al · Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd · 2026 · ISSN 1001-1390

In response to the unstable accuracy rate of fault location in distribution network lines and the significant impact of communication with distribution automation devices, the fault perception analysis of distribution ne...

LCC TENDOkluc3RydW1lbnRzIGFuZCBtYWNoaW5lcw~~; LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlNjaWVuY2U~Idioma zho

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Joint inversion for heat transfer parameters of porous media with geothermal-seepage coupling based on a physics-informed neural network

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Joint inversion for heat transfer parameters of porous media with geothermal-seepage coupling based on a physics-informed neural network

Xiao ZHANG et al · Editorial Office of Coal Geology & Exploration · 2026 · ISSN 1001-1986

BackgroundThe thermal diffusivity and vertical seepage velocity of porous media are critical to characterizing the mechanisms underlying subsurface heat transfer. These two parameters are typically determined through inv...

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Power quality disturbance classification method based on fusion of multiple 1-D CNN model

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Power quality disturbance classification method based on fusion of multiple 1-D CNN model

LU Chunguang et al · Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd · 2026 · ISSN 1001-1390

Aiming at the problem of power quality disturbance (PQD) classification, classification sub-models based on one-dimension CNN in the time domain (original signal), frequency domain (Fourier transform) and time-frequency ...

LCC TENDOkluc3RydW1lbnRzIGFuZCBtYWNoaW5lcw~~; LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlNjaWVuY2U~Idioma zho

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Machine learning-based prediction and experimental validation of the pyrolysis product distribution in tar-rich coals

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Machine learning-based prediction and experimental validation of the pyrolysis product distribution in tar-rich coals

Shuai DONG et al · Editorial Office of Coal Geology & Exploration · 2026 · ISSN 1001-1986

BackgroundTar-rich coals serve as an important coal-based oil and gas resource in China, while their pyrolysis product distribution is governed by the coupling effects of coal properties and reaction conditions. Therefor...

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