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ORCIDLixiang Duan
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- affiliation: China University of Petroleum, Beijing, China
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2020 – today
- 2023
[c5]Na Zhang, Lixiang Duan, Xiaofeng Li, Xiangwu Liu:
Imbalanced fault diagnosis of planetary gearboxes based on noise enhancement and threshold adaptive Siamese decoupled network. ICPHM 2023: 282-290- 2022
- [j9]Lijun Zhang, Lixiang Duan:
Cross-scenario transfer diagnosis of reciprocating compressor based on CBAM and ResNet. J. Intell. Fuzzy Syst. 43(5): 5929-5943 (2022) - 2021
- [j8]Lijun Zhang, Lixiang Duan, Xiaocui Hong, Xiangyu Liu, Xinyun Zhang:
Imbalanced data enhancement method based on improved DCGAN and its application. J. Intell. Fuzzy Syst. 41(2): 3485-3498 (2021)
2010 – 2019
- 2019
- [j7]Yulong Zhang, Yisu Zhou, Menglan Duan, Lixiang Duan, Xin Zhang, Liuyi Jiang:
A novel feature extraction algorithm for bearing fault diagnosis based on enhanced symbolic aggregate approximation. J. Intell. Fuzzy Syst. 36(6): 5369-5381 (2019) - [j6]Yang Liu, Lixiang Duan
, Zhuang Yuan, Ning Wang, Jianping Zhao:
An Intelligent Fault Diagnosis Method for Reciprocating Compressors Based on LMD and SDAE. Sensors 19(5): 1041 (2019) - 2018
- [j5]Lixiang Duan, Xuduo Wang, Mengyun Xie, Zhuang Yuan, Jinjiang Wang:
Auxiliary-model-based domain adaptation for reciprocating compressor diagnosis under variable conditions. J. Intell. Fuzzy Syst. 34(6): 3595-3604 (2018) - [j4]Lixiang Duan, Mengyun Xie, Jinjiang Wang, Tangbo Bai:
Deep learning enabled intelligent fault diagnosis: Overview and applications. J. Intell. Fuzzy Syst. 35(5): 5771-5784 (2018) - 2017
- [j3]Jinjiang Wang, Laibin Zhang, Lixiang Duan, Robert X. Gao:
A new paradigm of cloud-based predictive maintenance for intelligent manufacturing. J. Intell. Manuf. 28(5): 1125-1137 (2017) - 2016
- [j2]Lixiang Duan, Mengyun Xie, Tangbo Bai, Jinjiang Wang:
A new support vector data description method for machinery fault diagnosis with unbalanced datasets. Expert Syst. Appl. 64: 239-246 (2016) - [j1]Tangbo Bai, Laibin Zhang, Lixiang Duan, Jinjiang Wang:
NSCT-Based Infrared Image Enhancement Method for Rotating Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 65(10): 2293-2301 (2016) - [c4]Tangbo Bai, Yulong Zhang, Xuduo Wang, Lixiang Duan, Jinjiang Wang:
Bearing defect signature analysis based on a SAX-based association rule mining. ICPHM 2016: 1-7 - [c3]Lixiang Duan, Mengyun Xie, Tangbo Bai, Jinjiang Wang:
Support vector data description for machinery multi-fault classification with unbalanced datasets. ICPHM 2016: 1-6 - [c2]Junyao Xie, Laibin Zhang, Lixiang Duan, Jinjiang Wang:
On cross-domain feature fusion in gearbox fault diagnosis under various operating conditions based on Transfer Component Analysis. ICPHM 2016: 1-6 - 2012
- [c1]Lixiang Duan, Nan Liu, Yu Tang, Yafeng Liu, Qinchun Zhang:
Incipient Feature extraction based on singular value decomposition and undecimated lifting scheme packet. FSKD 2012: 1829-1833
Coauthor Index
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