Dongxiang Jiang - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 23 from 23

2025

A positive-unlabeled learning approach for industrial anomaly detection based on self-adaptive trainingKeyu Song, Chao Liu 0028, Dongxiang Jiang. ijon, 647:130488, 2025. [doi]

2024

Asynchronous Training Schemes in Distributed Learning with Time DelayHaoxiang Wang 0006, Zhanhong Jiang, Chao Liu 0028, Soumik Sarkar, Dongxiang Jiang, Young M. Lee. tmlr, 2024, 2024. [doi]

Multiscale-attention masked autoencoder for missing data imputation of wind turbinesYuwei Fan, Chenlong Feng, Rui Wu, Chao Liu 0028, Dongxiang Jiang. kbs, 299:112114, 2024. [doi]

Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysisChenlong Feng, Chao Liu 0028, Dongxiang Jiang. kbs, 295:111838, 2024. [doi]

M2Beats: When Motion Meets Beats in Short-form VideosDongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming. IJCAI 2024: 920-928 [doi]

Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systemsRui Wu, Chao Liu, Dongxiang Jiang. ress, 245:110037, 2024. [doi]

2022

2021

Deep transfer learning with limited data for machinery fault diagnosisTe Han, Chao Liu, Rui Wu, Dongxiang Jiang. asc, 103:107150, 2021. [doi]

2019

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faultsTe Han, Chao Liu, Wenguang Yang, Dongxiang Jiang. kbs, 165:474-487, 2019. [doi]

2018

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machineryTe Han, Dongxiang Jiang, Qi Zhao, Lei Wang, Kai Yin. tinstmc, 40(8):2681-2693, 2018. [doi]

2017

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value DecompositionTe Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun. sensors, 17(4):689, 2017. [doi]

Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector MachineXiaochen Zhang, Dongxiang Jiang, Te Han, Nanfei Wang, Wenguang Yang, Yizhou Yang. js, 2017, 2017. [doi]

2014

Global geometric similarity scheme for feature selection in fault diagnosisChao Liu, Dongxiang Jiang, Wenguang Yang. eswa, 41(8):3585-3595, 2014. [doi]

2011

Wind farm power prediction based on wavelet decomposition and chaotic time seriesXueli An, Dongxiang Jiang, Chao Liu, Minghao Zhao. eswa, 38(9):11280-11285, 2011. [doi]

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly DeterminationDongxiang Jiang, Chao Liu. tr, 60(1):41-48, 2011. [doi]

2009

Application of RBF and Elman Neural Networks on Condition Prediction in CBMChao Liu, Dongxiang Jiang, Minghao Zhao. isnn 2009: 847-855 [doi]

2008

Study on Gas Turbine Thermodynamic Component Performance Degradation Assessment Based on RBF and SOM Neural NetworksYongshan Ding, Dongxiang Jiang, Liangyou Hong, Qian Huang. icai 2008: 52-57

Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine GearboxQian Huang, Dongxiang Jiang, Liangyou Hong, Yongshan Ding. isnn 2008: 313-320 [doi]

2007

Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault DiagnosisDongxiang Jiang, Kai Xiong, Yongshan Ding, Kai Li. fskd 2007: 143-148 [doi]

2006

Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-enginesKai Li, Dongxiang Jiang, Kai Xiong, Yongshan Ding. isnn 2006: 414-419 [doi]

2005

Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating MachineryDongxiang Jiang, Kai Li, Gang Zhao, Jinhui Diao. isnn 2005: 561-566 [doi]

Sign in or sign up to see more results.

runs on WebDSL