Yu Jianbo, Ph.D., male, born in Cixi, Zhejiang, 1978. In 2009, he received a doctorate in mechanical engineering and industrial engineering from Shanghai Jiaotong University. Now he is a professor and doctoral supervisor at the Institute of Industrial Engineering of Tongji University. Research fields include intelligent pre-diagnosis maintenance and reliability of equipment, quality control of complex manufacturing process, machine learning and optimization of production system design. He presided over the general project of National Natural Science Foundation 1, Shanghai Education Commission Innovation Fund, Shanghai Aerospace Science and Technology Innovation Fund, Cixi Innovation and Entrepreneurship Project and many projects entrusted by enterprises; Completed a number of projects entrusted by the National Natural Science Foundation (Youth Fund), the Doctoral Program Fund of the Ministry of Education, the Open Fund of the State Key Laboratory, the Shanghai Emotional Project and enterprises. As the main finisher, he participated in many projects supported by the National Natural Science Foundation, Ministry of Science and Technology, and entrusted by enterprises, as well as 1 American Natural Science Foundation project and 2 projects entrusted by famous American enterprises. He is a member of the editorial boards of international journals such as Advanced Mechanical Engineering (SCI), China Engineering Journal and Advanced Manufacturing Research Journal. Invited as a reviewer of nearly 30 international journals, Including IEEE Transactional Son Industrial Electronics, Journal of Manufacturing Science and Engineering-Transactional of the AASME, Ieee Transactional Sonnergy Conversion, Ieeetransactionson Informatics, IEEETransactionsonCIRCUITS-II, IEEETransactional Sonnerual Network, IEEETransactional Sonneural and Measurement, Mechanical System and Signal Processing, etc.
Chinese name: Yu Jianbo
Mbth: Jane Boyu
Nationality: China.
Ethnic group: Han nationality
Place of birth: Cixi, Zhejiang
Date of birth: 1978
Occupation: teacher, researcher
Graduate school: Shanghai Jiaotong University
Faith: * * materialism
Main achievements: 20 15, China, a highly cited scholar, ranked eighth in the Ministry of Industry and Manufacturing Engineering.
Representative works: Making manufacturing process control based on statistical learning method.
Major achievements
In the research fields of intelligent diagnosis, maintenance and reliability of equipment, quality control of complex manufacturing process, machine learning, design optimization of production system, etc. , applied for 4 national patents (authorized 1), published English chapter 1 (responsible chapter 1 1), and published nearly 40 academic papers in academic journals at home and abroad (including 6 famous IEEE/ASMETrans series journals). Among them, as the first author (or correspondent), he published 26 papers in SCI source journals, and the published academic papers were cited by domestic and foreign peers for nearly 570 times (including 250 cited by SCI journals), with the highest citation of a single article exceeding 85 times. He was selected as the eighth in The Most Cited Scholars of China's Industry and Manufacturing published by Elsevier 20 15. Important international journals hired or published are: Journal of Industrial Electronics, Journal of Semiconductor Manufacturing, Journal of Instrumentation Measurement, Journal of Manufacturing Science and Engineering, Journal of Mechanical System and Signal Processing, Journal of Process Control, Application Software Processing, Computer Industry, etc.
Representative papers
Jian Boyu, Processing Monitoring Throughmanifold Regulatory-Based GM with Global/Local Information, JournalofProcessControl, 45, 84-99, Sep.20 16.
JianboYu，machineryfaultdiagnosisingjointglobalandlocal/nonlocaldiscriminantanalysis withselectveensemblearning，JournalofSoundandVibration，382 . 1 1 . 2065 438+06，340-356。
JianboYu, Adaptive Hiddenmarkomodel-Based On-Line Learning Framework Tolerate Fault Detection and Performance Degradation Monitoring, Mechanical System and Signal Processing, 83,2017, 149. 162.
Jian Boyu, Lu Xiaolei, Wafermap Defective Detection, Decognition, Joining, Localand NonCallinardisciminant Analysis, IEEETransactional Semiconductor Manufacturing, 29( 1), 00.33-43, 20 16 February.
Jane Boyu, Framework of Machine Health Prediction and Higher-order Particle Filtering Based on Bayesian Inference, Journal of Acoustics and Vibration, 358(8), page 97- 1 10, 20 15 years1February.
JianboYu, Health Monitoring and Prediction of Lithium-ion Batteries, IEEETransactional Monitoring and Measurement, 64( 1 1), 20 15, pp. 2937-2949.
JianboYu, Healthy Radiation Detection and Monitoring Flithium-Ion BatteryBase Donactive Learning Method, Ieee Transactional Sonication and Measurement, vol. 63, No.7, 20 14, pp. 1709- 172 1.
JianboYu, Anolinearprobabilistic method contributing analysis for machine condition monitoring, mechanical system and signal processing, 37( 1-2), 20 13, p. 293-3 14.
JianboYu, LocalandNonLocalPreserving Projection for Defensive Classification and Performance Assessment, IEEETransactional Sonindustrial Electronics, Vol.59, No.5, 20 12, pp.2363-2376.
JianboYu, Healthy Monitoring of Machines Based on OneDenmarkov Model and Contributory Analysis, Ieee Transactional Sonication and Measurement, vol.6 1, No.8, 2012,2200-221.
JianboYu，semiconductor manufacturing processmonitoringsinggaussianmixturemodelandbayesianmethodwithlocalandnonlocalinformation， Ieee Transactionson Semiconductor Manufacturing, Volume 25, No.3, 20 12, pp. 480-493.
JianboYu，machinetoolconditionmonitoringbasedonadaptivegaussianmixturemodel，journal of manufacturingscienceandengengineering-TransactionsoftheASME， Volume 134, No.3,2012, page 03 1004 -( 1- 13).
Jane Boyu, LocalandGlobalPrincipalComponentAnalytics for Process Monitoring, JournalofProcessControl, Vol.22, No.7, 20 12, pp. 1358- 1373.
Jane Boyu, GaussianMixtureModels-Based Control Chart Pattern Recognition, International Journal Production Research, Vol.50, No.23, 20 12, pp.6746-6762.
Jane Boyu, FaultDetection Using PrincipalComponentsBased Gaussian Mixtures Model for Semiconductor Manufacturing Processes, Ieee Transactionson Semiconductor Manufacturing, Vol.24, No.3, 20 1 1, pp.432-444.
Jane Boyu, Bearing Performance Degeneration Assessment, Locality, Performance Projections and Gaussian Mixtures Models, Mechanical Systems and Signal Processing, Vol.25, No.7, 20 1 1, 2573-2588.
JianboYu，Ahybridfeatureselectionschemeandself-organizingmapmodelformachinehealth assessment，AppliedSoftComputing，vol. 1 1，no.5，20 1 1，pp.404 1-4054。
Jane Boyu, Bearing Performance Degradation Assessment Localization Conservation Projects, ExpertSystemswithApplications, Volume 38, No.6, 20 1 1, pp. 7440-7450.
JianboYu, Online Tool Wearprediction Indrilling Operations Using Intelligent Neural Network Component, Neural Computing & Applications, Vol.20, No.4, 20 1 1, pp.473-485.
Jian Boyu, Liu Meifang, Wu Hao, Feature Selection and Gaussian Mixture Model Formachine Health Assessment, Proceedings of Institution of Mechanical Engagement, PartC, journal of mechanicalengeringscience，20 1 1，vol.225，no . 7 PP . 1703- 17 17。
Model-based cognitive system, computer and engineering; Industrial engineering, vol. 6 1, No.3, 20 1 1, pp. 88 1-890.
Liu Jianping jianbo fish. LRProbControlChart Based on Logistic RegressionFormonitoring Means Sofauted Manufacturing Processes, International JournalOpProduction Research, Vol.49, No.8, 20 1 1, pp.2301-2326.
JianboYu, Hiddenmarko VMODELSCOBINING GLOBAL AND GLOBAL INFORMATION LINARAND Multimodal Process Monitoring, JournalofProcessControl, Vol.20, No.3, 20 10, pp.344-359.
JianboYu, ShijingWang, Using Umquantification error hart for the monitoring of processes in diversified manufacturing processes, Computers & Industrial Engineering, Vol.57, No.4, 2009, pp. 1300- 13 12.
Jianbo fish, Li Fengxi. On-line Monitoring and Diagnosis Model Based on Aneuralnetworkensemble Multivariable Manufacturing Process of Out-of-control Signals. Expert system and application, vol. 36,No. 1, 2009, pp. 909-92 1.
Zhou Xiaojun fengxi jianbo fish. Intelligent monitoring and diagnosis integrated application for manufacturing process, Computer Industry, Vol.59, No.5, 2008, pp.489-501.
Jianbo fish, Li Fengxi. Ahybridlerarning-based model for-line monitoring and diagnosis multivariable process of runaway signals, International Journal of Production Research, Vol. 47,No. 15, 2009, pp. 4077_4 108.
Zhou Xiaojun fengxi jianbo fish. Identifying the Source of Out-of-Control Signals, Artificial Intelligence Engineering Application, Vol. 22, pp. 1, 2009, pp.141-kloc-0/52.
Jianbo fish, Li Fengxi. In the manufacturing process, using UsingMQEChartBasedonSelf self-organizing mapping (SOM) neural network to monitor control signals. International Journal Production Research, Vol.46, No.21,2008, pp.5907-5933.
Jian Boyu, Wang Shijin, Li Fengxi. Evolvingartificalneural Networks Using Animprovedpso. Neural Computing, Vol. 7 1, No.4-6, 2008, pp. 1054- 1060. (most cited neurocomputing articles)
Wang Shijin fengxi jianbo fish. Animproved Particle Swarm Optimization Forevolved Forward Artificial Neural Networks. Neural Processing Letters, Vol.26, No.3, 2007,217-231.
Jianbo fish, Li Fengxi. intelligent monitoring and diagnosifsmanufacturing processingusinganiintegratedaphoffneural networkensembleandgeneticalgorithm . international journa l Of Computer Application Science and Technology, Volume 33, No.2/3, 2008, page 109_ 1 19.
Wang Shijin, JianboYu, EdzelLapira, JayLee, Amodified Supported Vector Data Description Based on Novelty Tested and Applied Software Computing, Volume 13, No.2, 20 13, No.010.
BinWuandJianboYu。 AneralNetworking Mode for Online Monitoring of Process Means and Variance of Related Processes, ExpertSystemswithApplications, Vol.37, No.6, 20 10, pp.4058-4065.
ShijinWangandJianboYu, Ineffective Heuristics for Flexible Job-Shop Scheduling Problems with Mainingactivities, Computers & amp Industrial Engineering, Vol.59, No.3, 20651October 438+00, pp.436-447.
Wang Tianyi, Jane Boyu, Siegel, D. and Lee, J. Similarity-based fault diagnosis method, prediction and health management, 2008. PHM2008。 International Conference, Denver, Colorado, 20081October 6-9, p. 1_6.
Jianbo fish, Li Fengxi. Aneralnetworkensemble approach for therecognitionofspchartpatterns. Natural Computing, 2007. The Third International Conference, 2, 24-27 August 2007: 575-579.
Jianbo fish, Li Fengxi. 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 1246- 1250.
J. Yu, AreviewFormanifoldLearning-based Statistical Process Control, 1 1 International Symposium on Measurement and Quality Control, kielce, Krakowan, Poland, 20 13, 1-3.
Lu, Yu Jianbo *, Wafer Surface Defect Identification Based on Hybrid Model and Manifold Adjustment, Computer Integrated Manufacturing, 42( 1), 20 16, 47-59.
Yu Jianbo *, Lu, Zong Weizhou, Detection and identification of wafer surface defects based on local and nonlocal linear discriminant analysis and dynamic integration of Gaussian mixture model, acta automatica sinica, 42 (1), 20 16, 47-59.
Lu, Yu Jianbo, On-line detection and adaptive identification of wafer surface defect patterns, Computer Engineering and Application, 20 16 52( 17), 26 1-266.
Chen Sihan, Yu Jianbo *, Image Analysis and Processing Based on 2D Local Mean Decomposition, Journal of Computer Aided Design and Graphics, 27( 10), 1842- 1850, 20 15.
Chen Sihan, Yu Jianbo *, Adaptive Total Variational Image Denoising Method Based on Two-dimensional Local Mean Decomposition, Journal of Computer Aided Design and Graphics, 28(6), 20 16, 986-994.
Chen Sihan, Yu Jianbo *, Image Edge Detection Algorithm Based on Two-dimensional Local Mean Decomposition, Computer Science and Exploration, 10(6), 2016,847-855.
Yang Mei, Chen Sihan, Wu Hao, Yu Jianbo, LMD filtering algorithm and its application in rotor fault diagnosis of rotating machinery, noise and vibration control, 20 15, Volume 35, No.2, 20 15, 160- 164.
Liu Meifang, Yin Jiting, Yu Jianbo *, Research on Remote Intelligent Pre-diagnosis and Maintenance System of Construction Machinery Based on SOA, China Mechanical Engineering. Vol. 23,No. 19, No.20 12, pp. 2320-2326.
Liu Meifang, Yin Jiting, Yu Jianbo *, Evaluation Method of Bearing Performance Degradation Based on Bayesian Reasoning and Self-organizing Mapping, Computer Integrated Manufacturing System, V. 18,No. 10, 20 12, pp.2237-2244
Wu Bin, Yu Jianbo, Xi Mo Lifeng, Zhou Binghai, Integrated Framework of Intelligent Reconfigurable Manufacturing Control System, Computer Integrated Manufacturing System, Vol. 14,No. 1, 2008, 73-78.
Yin Jiting, Yuan Jia, Yu Jianbo *, Research Summary of Smart Home System, China Science and Technology Papers Online, 20 12, 1-9.
Yin Jiting, Yuan Jia and Yu Jianbo *. * Intelligent control system. LED landscape lighting. Computer Engineering, 2013,39 (9): 317-320.
Yin Jiting, Yuan Jia, Jiao Zhiman, Zhang Fangfang, Yu Jianbo *, Research and Development of Smart Home Control System Based on ARM and Zigbee, Computer Measurement and Control, 2013,21(9), 245 1-2454.
Yuan Jia, Jiao Zhiman, Yu Jianbo *, Overview of LED energy-saving lighting intelligent control system, China Science and Technology Paper Online, 20 13, 1- 13.
Yang Mei, Chen Sihan, Yu Jianbo *, Research on Intelligent Fault Diagnosis System of Rotating Machinery, China Science and Technology Paper Online, 20 14, 1- 14.
Yuan Jia, Jiao Zhiman, Yu Jianbo *, Distributed Remote Monitoring System for Manufacturing Workshop Based on Internet and ZigBee, Mechanical Manufacturing, Vol.52, No.8, 20 14, 70-74.
Jiao zhiman, yuan Jia, Yu jianbo *, intelligent control system of process quality for networked workshop manufacturing, mechanical manufacturing, vol. 52, No.6, 20 14, 1-5.
Yu Jianbo, Li Chuanfeng, Wu Hao, Chen Hui, Research on multivariable aerospace product process control method based on self-organizing hybrid model, Shanghai Aerospace 2016,33 (5): 42-49.
Yu Jianbo, Zong Weizhou, Cheng Hui, Research on CSMA/CA-based power carrier concurrent communication and its application in lighting control, Journal of Northeastern University, accepted, 20 16 1.
Lu Jingxiang; * Yu Jianbo, Feature Extraction Method of Bearing Early Weak Fault Based on Multilayer Mixed Noise Filtering, Vibration and Impact, 20