Search Results - "Qin, Huabin"

Adaptive diagnosis of DC motors using R-WDCNN classifiers based on VMD-SVD by Qin, Huabin, Liu, Mingliang, Wang, Jian, Guo, Zijian, Liu, Junbo

“…Traditional fault diagnosis methods of DC (direct current) motors require high expertise and human labor. However, the other disadvantages of these methods are…”
Get full text

A New Fault Diagnosis Classifier for Rolling Bearing United Multi-scale Permutation Entropy optimize VMD and Cuckoo Search SVM by Guo, Zijian, Liu, Mingliang, Wang, Yunxia, Qin, Huabin

“…Aiming at the influence of mixed noise of bearing vibration signal on the extraction of useful information, a fault diagnosis optimize classifier based on…”
Get full text

Mechanical Fault Diagnosis of a DC Motor Utilizing United Variational Mode Decomposition, SampEn, and Random Forest-SPRINT Algorithm Classifiers by Guo, Zijian, Liu, Mingliang, Qin, Huabin, Li, Bing

“…Traditional fault diagnosis methods of DC (direct current) motors require establishing accurate mathematical models, effective state and parameter estimations,…”
Get full text

Effect of dithiocyano-methane on hexose monophosphate pathway in the respiratory metabolism of Escherichia coli by Chen, Yanfeng, Ke, Wenjie, Qin, Huabin, Chen, Siwei, Qin, Limei, Yang, Ying, Yu, Hui, Tan, Yuansheng

“…This paper studied the inhibitory effects of dithiocyano-methane (DM) on the glucose decomposition pathway in the respiratory metabolism of Escherichia coli …”
Get full text

Rolling Bearing Fault Diagnosis Based on Improved VMD And GA-ELM by Meng, Lingyu, Liu, Mingliang, Wei, Pengying, Qin, Huabin

“…When the measured vibration signals of rolling bearings are decomposed using Variational Modal Decomposition (VMD), the number of modes K and penalty factor α…”
Get full text

A Fault Diagnosis Method for Rotating Bearings Based on EWT Multi-Scale Entropy and PSO Algorithm to Optimize SVM by Qin, Huabin, Liu, Mingliang, Guo, Zijian

“…The mechanical fault diagnosis results of the rotary bearings are mainly determined by the feature vector and classifier used. In order to obtain more…”
Get full text

Rotary Bearing Fault Diagnosis Based on Improved VMD Algorithm and ELM by Wei, Pengying, Liu, Mingliang, Guo, Zijian, Qin, Huabin

“…The performance of the traditional variational modal decomposition (VMD) method is greatly affected by the number of modalities decomposed by artificial…”
Get full text

A New Convolutional Neural Network for Super-Resolution by Global and Local Residual by Wang, Xiaohang, Liu, Mingliang, Qin, Huabin, Guo, Zijian

“…With deep learning applied in image super-resolution (SR), more CNN-based method was applied to image super-resolution problems in recent researches. A lot of…”
Get full text

A New Adaptive Intelligent DC motors Fault Diagnosis System Using R-WDCNN Classifier by Xie, Yonghui, Qin, Huabin, Yin, Haihong, Hou, Xujie

“…Conventional diagnostic approaches for DC motors often require extensive expertise and are labor-intensive. These traditional methods also tend to be less…”
Get full text

Adaptive Diagnosis of DC Motors using PSO-SVM Classifier combined with VMD-SVD Technique by Qin, Huabin, Xie, Yonghui, Nie, Xiumin, Hou, Xujie

“…Feature extraction and classifiers play a central role in the traditional fault diagnosis methods for DC motors. In this paper, an innovative approach to…”
Get full text