wanglei
主要从事“故障机理建模”+“非平稳信号处理”+“人工智能”方法在重大装备故障预示与健康管理领域的应用基础研究，如：航空（航空发动机、直升机）、轨道交通（高铁）、新能源（风电）等的健康状态监测、诊断与预测研究。主持中国博士后基金面上项目1项，作为研究骨干参与国家重点研发计划项目、国家自然科学基金委-民航联合基金面上项目等。以第一/通讯作者在本领域权威SCI学术期刊：Mechanical Systems and Signal Processin...details>
Date of Birth:1991-10-06
Date of Employment:2023-12-27
Education Level:PhD graduate
Degree:Doctor of engineering
Gender:Male
Status:在岗
Alma Mater:西安交通大学
School/Department:机械工程学院
Discipline:
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Research Focus
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Education Experience
2022/9-2023/9新加坡国立大学
2019/9-2023/12西安交通大学 | 机械工程 | 学术博士 | PhD graduate
2015/9-2015/6四川大学 | 航空宇航机械设计及理论 | A master's degree | Master graduate
2010/9-2014/6大连理工大学 | 飞行器设计与工程 | Bachelor's degree | Undergraduate (bachelor)
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Work Experience
2023/12-Now机械工程学院 | 西南交通大学 | 特聘副研究员
2018/8-2019/7总体性能技术室 | 中国航发四川燃气涡轮研究院
- 1.Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis.Mechanical Systems and Signal Processing
- 2.Complete ensemble local mean decomposition with adaptive noise and its application to fault diagnosis for rolling bearings.Mechanical Systems and Signal Processing
- 3.Sparsity-based fractional spline wavelet denoising via overlapping group shrinkage with non-convex regularization and convex optimization for bearing fault diagnosis.Measurement Science and Technology
- 4.Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis.Mechanical Systems and Signal Processing
- 5.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
- 6.Joint discriminative and shared dictionary learning with dictionary extension strategy for bearing fault classification.Measurement
Team Member
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