余建波 - 同济大学 - 机械与能源工程学院

个人简介

教育背景毕业于上海交通大学机械工程专业，博士工作履历同济大学机械能源学院 2013.10- 上海大学机械自动化学院 2009.5-2013.10 2008 年赴美国辛辛那提大学智能维护系统产学研究中心国外访问学者

研究领域

智能制造、设备智能预诊维护、先进质量控制、人工智能、生产系统设计优化

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Shumei Chen, Jianbo Yu*, Deep recurrent neural network-based residual control chart for autocorrelated processes, Quality and Reliability Engineering International, Accepted in Jun. 2019. Jianbo Yu, Manifold Regularized Stacked Denoising Autoencoders with Feature Selection, Neurocomputing, 358, 2019, 235-245. Jianbo Yu*, Xiaoyun Zheng, Shijin Wang, A deep autoencoder feature learning method for process pattern recognition, Journal of Process Control, Accepted in May. 2019. Jianbo Yu*, Xiaoyun Zheng, Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map, Computers in Industry, Accepted in May. 2019. Jianbo Yu*, Evolutionary Manifold Regularized Stacked Denoising Autoencoders for Gearbox Fault Diagnosis, Knowledge-Based Systems, 178, 111-122. 2019. Jianbo Yu, Tianzhong Hu, Haiqiang Liu, A New Morphological Filter for Fault Feature Extraction of Vibration Signals, IEEE Access, Accepted in Apr. 2019. Jianbo Yu, Peng Zhu, Weighted self-regulation complex network-based variation modeling and error source diagnosis of Hybrid Multistage Machining Processes, IEEE Access, Accepted in Mar. 2019. Jianbo Yu, A selective deep stacked denoising autoencoders ensemble with negative correlation learning for gearbox fault diagnosis, Computers in Industry, 108, 2019, 62-72. Jianbo Yu, Haiqiang Liu, Xiaoyun Zheng, Two-dimensional joint local and nonlocal discriminant analysis-based 2D image feature extraction for deep learning, Neural Computing and Applications, Accepted in Feb. 2019. Jianbo Yu, Xiaoyun Zheng, Shijing Wang Stacked Denoising Autoencoder-Based Feature Learning for Out-of-control Source Recognition in Multivariate Manufacturing Process, Quality and Reliability Engineering International, 35(1). 2019, 204-223. Jianbo Yu, State of Health Prediction of Lithium-Ion Batteries: Multiscale Logic Regression and Gaussian Process Regression Ensemble, Reliability Engineering & System Safety,174, Jun. 2018, 82-95. Jianbo Yu, Tool Condition Prognostics Using Logistic Regression with Penalization and Manifold Regularization, Applied Soft Computing, 64, 2018, 454-467. Jianbo Yu, Haiqiang Liu, Sparse coding shrinkage in intrinsic time scale decomposition for weak fault feature extraction of bearings, IEEE Transactions on Instrumentation and Measurement, 67(7), 1579-1592., 2018. Jingxiang Lv; Jianbo Yu*, Average combination difference morphological filters for fault feature extraction of bearing, Mechanical Systems and Signal Processing, 100, 827-845, 2018. Jianbo Yu*, Jingxiang Lv, Weak fault feature extraction of rolling bearings using local mean decomposition-based multilayer hybrid denoising, IEEE Transactions on Instrumentation and Measurement, 66(12), 3148-3159, 2017. Jianbo Yu, Aircraft Engine Health Prognostics Based on Logistic Regression with Penalization Regularization and State-Space-Based Degradation Framework, Aerospace Science and Technology, 68, 345-361, 2017. Jianbo Yu, Adaptive Hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring, Mechanical Systems and Signal Processing, 83, 149-162, Jan. 2017. Jianbo Yu, Process monitoring through manifold regularization-based GMM with global/local information, Journal of Process Control, 45, 84-99, Sep. 2016. Jianbo Yu, Machinery Fault diagnosis using joint global and local/nonlocal discriminant analysis with selective ensemble learning, Journal of Sound and Vibration, 382, Nov.2016, 340-356. Jianbo Yu, Lu Xiaolei, Wafer map defect detection and recognition using joint local and nonlocal linear discriminant analysis, IEEE Transactions on Semiconductor Manufacturing, 29(1), 00.33-43, Feb. 2016.

学术兼职

目前担任IEEE Transactions on Instrumentation and Measurement的Associate Editor，Advances in Mechanical Engineering (2014-2019，SCI检索)，Recent Patents on Mechanical Engineering(EI检索)国际期刊编辑委员会的成员