Wuhan University

State Grid Tianjin Electric Power Company

Perenna Pharmaceuticals, Inc.

Waterstone Pharmaceuticals Co., Ltd.

Xiaoyu Liu

Yigang He

Hua Bai

Xuyang Zhao

Xiaohe Zheng

Qifeng Zhu

Xiao Wang

Liulu He

Jonathan Bayldon Baell

Daqing Che

Jiasheng Fu

Yuncai Zhang

Faming Zhang

Xiaojie Xu

Shiqian Ma

Jian Cui

Lina Qian

Maojian Gu

Mingyun Chen

Hairong Luo

Yingying Zhao

Jinqing Zhong

Yongxiang Gong

Lifei Liu

Weiwei Zhang

Zihao Li

Zhikai Xing

Jianfeng Wang

Qingwu Gong

Yuguang Shi

Yuan Meng

Huojian Wang

Zhengwen Leng

Sihan Zhang

Weidong Lu

Shuhua Sang

Yong Zhang

Ying Chen

A method for diagnosing transformer fault based on a deep coupled dense convolutional neural network, includes: obtaining datasets of dissolved gas in oil of a transformer in normal and fault states; expanding the datasets by using an adaptive synthetic oversampling method; performing, in a form of a two-dimensional matrix, feature reconstruction on characteristic gas dissolved in the oil; building a transformer fault diagnosis model based on a deep coupled dense convolutional neural network; and dividing an expanded dataset into a training set and a test set, and taking the two-dimensional matrix as an input of the deep coupled dense convolutional neural network and a set label as an output to train the network to obtain a fault diagnosis model. The present disclosure can resolve a problem that a fault diagnosis accuracy rate of the transformer is low due to insufficient and unbalanced fault samples in the dissolved gas in the oil.

Method for diagnosing transformer fault based on deep coupled dense convolutional neural network

A method and a system for diagnosing an open circuit (OC) fault of an insulated gate bipolar transistor (IGBT) of a T-type three-level (T3L) inverter under multiple power factors based on instantaneous current distortion are provided. Similar characteristics of current distortion may be caused by an OC fault of a T3L inverter, making it is difficult to locate the fault. The method for diagnosing an OC fault of a grid-connected T3L inverter, can diagnose the OC fault hierarchically; four switch transistors in a phase can be divided into two groups according to the similarity analysis of current distortion under different power factors; group-based fault diagnosis is realized by half cycles in which a zero domain occurs; and then, a specific switching signal is injected to realize equipment-based OC fault diagnosis. The OC fault diagnosis of a T3L inverter is realized without additional hardware circuits.

Method and system for diagnosing open circuit (OC) fault of T-type three-level (T3L) inverter under multiple power factors

A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

Direct current (DC)/DC converter fault diagnosis method and system based on improved sparrow search algorithm

Inhibitors of ALCAT1 are described having the general formula: (I). These compounds offer a treatment for aging and age-related diseases. 

Compounds useful as inhibitors of ALCAT 1

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Wuhan, China

Xiaoyu Liu