自动化工程学院
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导师代码: |
20149
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导师姓名: |
刘治汶
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性 别: |
男 |
特 称: |
无
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职 称: |
副研究员
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学 位: |
工学博士学位
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属 性: |
专职 |
电子邮件: |
zhiwenliu
@
uestc.edu.cn
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学术经历:
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2019.09-至今 电子科技大学—自动化工程学院 副研究员;
2016.09-2019.09 四川大学--空天科学与工程学院 副研究员;
2013.10-2016.09 电子科技大学—机械与电气工程学院 博士后;
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个人简介:
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博士毕业于西安交通大学。现电子科技大学自动化工程学院副研究员。主要从事基于 “现代信号处理”(如:随机共振、稀疏表示等)+“人工智能”(如深度学习、迁移学习等)在“中国制造2025”重点发展领域,如:航空与燃机(航空发动机)、轨道交通(高铁)、新能源(风电)等重大装备运行状态感知新技术应用研究。主持了包括:国家自然科学基金面上项目(52075080)、国家自然科学基金委-民航联合基金面上项目(U1733107)、四川省自然基金面上项目(2022NSFSC0573)、航空科学基金项目(20173319003)、中国博士后基金面上项目(一等2014M560708)等各1项。以第一/通讯作者在国内外相关领域权威SCI/EI学术期刊:Neurocomputing、Mechanical Systems and Signal Processing、航空学报等上发表论文20余篇(其中SCI论文中科院分区大类2区TOP论文22篇,大类1区TOP论文6篇,3篇SCI论文入选全球1%高被引用ESI优秀论文),获授权中国技术发明专利3项。论文发表至今被引用次数共1000余次,单篇第一作论文最高SCI他引200余次,Google学术他引280余次(来自谷歌学术统计)。
2021年,入选World’s Top 2% Scientists2020由斯坦福大学John P.A.Ioannidis教授团队发布全球前2%顶尖科学家(Singleyr)榜单。
研究方向:
(1)装备故障动态建模与复杂信号处理;
(2)大数据驱动的装备智能感知与预示;
(3)航空复杂结构拓扑优化与智能制造;
(4)无人飞机集群协同决策与智能控制;
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科研项目:
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[1] 国家自然科学基金面上项目:面向选择性结构化字典匹配表示构造方法的直升机行星轮系故障诊断(No. 52075080),58万(直接经费),2021/01-2024/12,主持;
[2] 国家自然科学基金委-民航联合(面上)项目:航空发动机主轴承故障稀疏时频分析与运行可靠性评估方法研究(No.U1733107),34万(直接经费),2018/01-2020/12,主持;
[3] 四川省自然基金面上项目:高速列车牵引电机轴承运行健康监测与智能运维关键技术研究(No. 2022NSFSC0573),20万,2021/01-2022/12,主持;
[4] 航空科学基金项目:复杂激励下直升机行星传动系统振动响应特性分析及突变信号时频诊断方法研究 (No. 20173319003),12万,2017/12-2019/12,主持;
[5] 中国博士后科学基金第56批面上资助(一等)项目:强噪声下航空发动机主轴承早期故障微弱信号检测方法研究(No.2014M560708),8万,2014/09-2016/09,主持;
[6] 四川省博士后科学基金第6批资助(二等)项目:基于性能退化分析的机车轮对轴承故障特征提取方法研究,8万,2014/09-2016/09,主持;
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研究成果:
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[1] Zhiwen Liu, Hongrui Cao*, Xuefeng chen, Zhengjia He. Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings, Neurocomputing,2013 (99) 399 ~ 410. (SCI:037TL,EI:20124415617655;IF:4.438; 中科院分区:2区TOP 期刊; Google被引:223次,SCI他引:164次,入选ESI全球Top-1%高被引用论文);
[2] Lei Wang, Zhiwen Liu*(通讯作者), Qiang Miao, Xin Zhang. Complete Ensemble Local Mean Decomposition with Adaptive Noise and Its Application to Fault Diagnosis for Rolling Bearings, Mechanical Systems and Signal Processing, 2018.106.24~39 (SCI,IF:6.471, 中科院分区:1区TOP 期刊,Google被引:30次,SCI他引:32次);
[3] Lei Wang, Zhiwen Liu*(通讯作者), Qiang Miao, Xin Zhang. Time–Frequency Analysis Based on Ensemble Local Mean Decomposition and Fast Kurtogram for Rotating Machinery Fault Diagnosis, Mechanical Systems and Signal Processing, 2018.106.24~39. (SCI,IF:6.471, 中科院分区:1区TOP 期刊,Google被引:90次,SCI他引:78次,入选ESI全球Top-1%高被引用论文);
[4] Xin Zhang, Zhiwen Liu*(通讯作者), Qiang Miao, Lei Wang. Bearing fault diagnosis using a whale optimization algorithm-optimized orthogonal matching pursuit with a combined time-frequency atom dictionary, Mechanical Systems and Signal Processing, 2018.106.24~39. (SCI,IF:6.471, 中科院分区:1区TOP 期刊,Google被引:41次,SCI他引:38次);
[5] Lei Wang, Zhiwen Liu*(通讯作者), Hongrui Cao, Xin Zhang. Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis, Mechanical Systems and Signal Processing, 142 (2020) 106755. (SCI,IF:6.471, 中科院分区:1区TOP 期刊,Google被引:6次,SCI他引:3次);
[6] Lei Wang, Zhiwen Liu*(通讯作者). An improved local characteristic-scale decomposition to restrict end effects, mode mixing and its application to extract incipient bearing fault signal, Mechanical Systems and Signal Processing, 2021(接受). (SCI,IF:6.471, 中科院分区:1区TOP 期刊);
[7] Rongye Lin, Zhiwen Liu*(通讯作者), Yulin Jin. Instantaneous frequency estimation for wheelset bearings weak fault signals using second-order synchrosqueezing S-transform with optimally weighted sliding window. ISA transactions. Accepted 6 January 2021, (SCI,IF:4.305, 中科院分区:2区TOP 期刊);
[8] Zhiwen Liu*, Xuefeng Chen, Hongrui Cao, Zhengjia He. LMD Method and Multi-class RWSVM of Fault Diagnosis for Rotating Machinery using Condition Monitoring Information, Sensors, 2013, 13(7), 8679 ~8694. (SCI:274NI,IF:3.275; 中科院分区:2区TOP 期刊; Google被引:25次,SCI他引:16次);
[9] Zhiwen Liu*, Wei Guo. Zhangchun Tang, Yongqiang Chen. Multi-sensor data fusion using relevance vector machine based on ant colony for gearbox fault detection. Sensors. 2015, 15, 21857~21875; (SCI: CT0UH, IF:3.275, 中科院分区:2区TOP 期刊,Google被引:29次,SCI他引:15次);
[10] Zhiwen Liu*, Zhengjia He , Wei Guo, et al. A hybrid fault diagnosis method based on second generation wavelet de-noising and local mean decomposition for rotating machinery. ISA TRANSACTIONS. 2016, 61: 211~220, (SCI:DI3PI,IF:4.305 中科院分区:2区TOP 期刊, SCI他引:67次);
[11] Zhiwen Liu*, Wei Guo, Jinhai Hu, Wensheng Ma. A hybrid intelligent multi-fault detection method for rotating machinery based on RSGWPT, KPCA and Twin SVM. ISA TRANSACTIONS. 2017, 61: 211~220, (SCI:DI3PI,IF:4.305, 中科院分区:2区TOP 期刊,Google被引:48次,SCI他引:40次);
[12] Xin Zhang, Zhiwen Liu*(通讯作者), Qiang Miao, Lei Wang. An optimized time varying filtering based empirical mode decomposition method with grey wolf optimizer for machinery fault diagnosis, Journal of Sound and Vibration, 2018.55~78. (SCI,IF:3.429 中科院分区: 2区TOP 期刊,Google被引:36次,SCI他引:30次);
[13] Xin Zhang, Zhiwen Liu*(通讯作者), Jiaxu Wang, Jinglin Wang. Time–frequency analysis for bearing fault diagnosis using multiple Q-factor Gabor wavelets. ISA TRANSACTIONS,2019.87: 225~234(SCI,IF:4.305, 中科院分区:TOP期刊,Google被引:20次,SCI他引:10次);
[14] Xin Zhang, Qiang Miao, Zhiwen Liu*(通讯作者), Zhengjia He, Lei Wang. An adaptive stochastic resonance method based on grey wolf optimizer algorithm and its application to machinery fault diagnosis. ISA TRANSACTIONS. 2017.71.206~214.(SCI,IF:4.305, 中科院分区:2区TOP 期刊,Google被引:30次,SCI他引:27次);
[15] Xin Zhang, Jiaxu Wang, Zhiwen Liu*(通讯作者), Jinglin Wang. Weak feature enhancement in machinery fault diagnosis using empirical wavelet transform and an improved adaptive bistable stochastic resonance. ISA TRANSACTIONS, 2019.84:283~295.(SCI,IF:4.305, 中科院分区:2区TOP 期刊,Google被引:24次,SCI他引:16次);
[16] Xin Zhang, Zhiwen Liu*(通讯作者), Lei Wang, Jiantao Zhang, Wei Han. Bearing fault diagnosis based on sparse representations using an improved OMP with adaptive Gabor sub-dictionaries. ISA TRANSACTIONS, 2020.(SCI,IF:4.305, 中科院分区:2区TOP 期刊);
[17] Xiaolong Zeng, Xin Lu, Zhiwen Liu*(通讯作者), Yulin Jin. An adaptive fractional stochastic resonance method based on weighted correctional signal-to-noise ratio and its application in fault feature enhancement of wind turbine. ISA transactions. Accepted 12 March 2021, (SCI,4.305, 中科院分区:2区TOP 期刊);
[18] Shuo Zhang, Zhiwen Liu*(通讯作者), Sihai He, et al. Improved double TQWT sparse representation using the MQGA algorithmand new norm for aviation bearing compound fault detection. Engineering Applications of Artificial Intelligence. Accepted 12 March 2021, (SCI,IF:6.212 中科院分区:2区TOP 期刊);
[19] 靳玉林,刘治汶*(通讯作者),陈予恕. 航空发动机双转子叶片-机匣碰摩故障模拟. 航空学报.
[20] 张烁,刘治汶*(通讯作者). 航空发动机轴承故障结构化贝叶斯稀疏表示. 航空学报.
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专业研究方向:
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专业名称 |
研究方向 |
招生类别 |
081100控制科学与工程 |
01复杂系统与智能信息处理,02新能源系统及控制技术,03模式识别与智能系统 |
硕士学术学位 |
086100交通运输 |
01交通运输系统故障诊断与预测,02交通信息处理及智能控制,03智能交通,04交通工程技术(非全) |
硕士专业学位 |
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