朱海平 照片

朱海平

教授

所属大学: 华中科技大学

所属学院: 机械科学与工程学院

邮箱:
haipzhu@hust.edu.cn

个人主页:
https://mse.hust.edu.cn/info/1143/1371.htm

个人简介

朱海平(Zhu Haiping,Professor),华中科技大学机械学院教授、博导,国家智能设计与数控技术创新中心副主任,广东省智能制造工业大数据创新团队核心成员。2005年获华中科技大学机械电子工程专业博士学位。研究方向为生产系统建模与优化、工业大数据、智能制造和数字化车间应用等。 作为负责人先后主持国家自然科学基金项目4项、国家863重点项目课题2项、国家重点研发项目课题1项、国家科技支撑计划子课题2项、国防重大项目课题2项,并参与多项973、863、重大专项等科研项目。在国内外重要期刊和会议上发表学术论文120余篇,其中SCI检索40余篇,ESI高被引论文4篇。出版专著2本,授权发明专利14项,获3项国家和省部级科技奖励。 在面向智能工厂的工业软件方面取得了较多应用成果。主持研发的MES系统已经实现了产业化推广;对标国际顶尖软件,自主研发了生产系统建模仿真软件FactorySimulation(www.factorysimulation.net),实现了该类软件的国产化替代。

研究领域

(1)生产系统建模仿真理论方法、系统研发及工程应用。 (2)智能制造工业大数据理论方法及应用

近期论文

[1]朱海平,生产系统建模与仿真,清华大学出版社,2022 [2]朱海平,数字化与智能化车间,清华大学出版社,2022 [3]Hao, Haiqiang; Zhu, Haiping*; Shen, Liezheng; Zhen, Guohui; Chen, Zhipeng. Research on assembly scheduling problem with nested operations, COMPUTERS & INDUSTRIAL ENGINEERING, 2023.1(175), 10.1016/j.cie.2022.108830 [4]Chen, Zhipeng; Zhu, Haiping*; Wu, Jun; Fan, Liangzhi; Zhang, Zheng. Stress-strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform. STRUCTURAL HEALTH MONITORING. 2022.12, 10.1177/14759217221134452 [5]Chen, Zhipeng; Zhu, Haiping*; Wu, Jun ; Fan, Liangzhi. Health indicator construction for degradation assessment by embedded LSTM-CNN autoencoder and growing self-organized map. KNOWLEDGE-BASED SYSTEMS, 2022.9(252), 10.1016/j.knosys.2022.109399 [6]Cheng, Yiwei; Hu, Kui; Wu, Jun; Zhu, Haiping*; Shao, Xinyu. Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022.4(27):1081-1092 [7]Cheng, Yiwei; Lin, Manxi; Wu, Jun; Zhu, Haiping*; Shao, Xinyu. Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network. KNOWLEDGE-BASED SYSTEMS, 2021.3(216), 10.1016/j.knosys.2021.106796 [8]Cheng, Yiwei; Wu, Jun; Zhu, Haiping*; Or, Siu Wing; Shao, Xinyu). Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021,8(70), 10.1109/TIM.2020.3031113 [9]Haiping Zhu, Jiaxin Cheng, Cong Zhang, Jun Wu, Xinyu Shao. Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings. APPLIED SOFT COMPUTING JOURNAL, 88 (2020) 106060 [10]Cong Zhang, Haiping Zhu*, Jun Wu, Leibo Ma, Jiaxin Cheng & Hui Wang. An economical optimization model for deteriorating system integrated with statistical process control and condition-based maintenance. QUALITY ENGINEERING, 2020, VOL. 32, NO. 3, 465–477