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Hongquan Ji

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2020 – today

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2024
[j8]
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  - journals/automatica/JiZS24
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  - https://dblp.org/rec/journals/automatica/JiZS24
Hongquan Ji, Wenqing Zhao, Nan Sheng:
Incipient fault detection with probability transformation and statistical feature analysis. Autom. 166: 111706 (2024)
2023
[c5]
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  - conf/caasafeproc/SunZPWJX23
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Guoqing Sun, Xiaoyu Zou, Jie Pan, Zhongbin Wang, Hongquan Ji, Dezhong Xin:
Atten-DilatedNet: fault diagnosis method of bearing for mine drilling rig. SAFEPROCESS 2023: 1-6
[c4]
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  - conf/caasafeproc/WangZCZJ23
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Ruixue Wang, Wenqing Zhao, Chao Cheng, Xiaoyu Zou, Hongquan Ji:
Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection. SAFEPROCESS 2023: 1-6
2022
[j7]
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  - journals/tie/QinYJW22
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Yihao Qin, Yayun Yan, Hongquan Ji, Youqing Wang:
Recursive Correlative Statistical Analysis Method With Sliding Windows for Incipient Fault Detection. IEEE Trans. Ind. Electron. 69(4): 4185-4194 (2022)
[j6]
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  - journals/tim/Ji22
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Hongquan Ji:
Optimization-Based Incipient Fault Isolation for the High-Speed Train Air Brake System. IEEE Trans. Instrum. Meas. 71: 1-9 (2022)
2021
[j5]
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  - journals/automatica/ZhaoHZJZP21
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Yinghong Zhao, Xiao He, Junfeng Zhang, Hongquan Ji, Donghua Zhou, Michael G. Pecht:
Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations. Autom. 123: 109298 (2021)
[c3]
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  - conf/caasafeproc/WuZCJWX21
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Dehao Wu, Donghua Zhou, Maoyin Chen, Hongquan Ji, Yanwen Wang, Xiaopeng Xi:
Nonstationary Process Monitoring Using Sparse Stationary Subspace Analysis. CAA SAFEPROCESS 2021: 1-5
2020
[i1]
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  - journals/corr/abs-2005-06832
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Yinghong Zhao, Xiao He, Junfeng Zhang, Hongquan Ji, Donghua Zhou, Michael G. Pecht:
Detection of Intermittent Faults Based on an Optimally Weighted Moving Average T^2 Control Chart with Stationary Gaussian Observations. CoRR abs/2005.06832 (2020)

2010 – 2019

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2019
[j4]
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  - journals/ijon/YangZHJLCX19
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Chunhua Yang, Longfei Zhou, Keke Huang, Hongquan Ji, Cheng Long, Xiaofang Chen, Yongfang Xie:
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process. Neurocomputing 332: 305-319 (2019)
2018
[j3]
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  - journals/ijon/GuoZJLY18
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Dingfei Guo, Maiying Zhong, Hongquan Ji, Yang Liu, Rui Yang:
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors. Neurocomputing 319: 155-163 (2018)
[j2]
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  - journals/tcst/ZhouJHS18
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Donghua Zhou, Hongquan Ji, Xiao He, Jun Shang:
Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units. IEEE Trans. Control. Syst. Technol. 26(5): 1744-1757 (2018)
[c2]
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  - conf/iecon/JiWC18
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Hongquan Ji, Youqing Wang, Zhiwen Chen:
Smoothed Fisher Discriminant Analysis for Incipient Fault Diagnosis. IECON 2018: 5412-5417
2017
[j1]
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  - journals/automatica/ShangCJZ17
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Jun Shang, Maoyin Chen, Hongquan Ji, Donghua Zhou:
Recursive transformed component statistical analysis for incipient fault detection. Autom. 80: 313-327 (2017)
[c1]
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  - conf/smc/JiHZ17
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Hongquan Ji, Xiao He, Donghua Zhou:
Augmented mahalanobis distance for incipient fault detection of industrial processes. SMC 2017: 787-792

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