張傳放

張傳放 ，男，北京科技大學自動化學院副研究員，所屬複雜系統建模與智慧型控制梯隊。

基本介紹

• 中文名：張傳放
• 國籍：中國
• 畢業院校：北京科技大學 

人物經歷

2009.09-2013.07 東北大學 自動化專業 理學學士

2013.09-2015.07 東北大學 控制工程專業 工程碩士

2015.07-2016.05 中芯北方積體電路製造（北京）有限公司 蝕刻部資深副工程師

2017.09-2021.07 北京科技大學 控制科學與工程專業 工學博士

2021.07-2023.12 北京科技大學 自動化學院 博士後

2023.12-2024.06 北京科技大學 自動化學院 講師

2024.07-至今 北京科技大學 自動化學院 副研究員

研究方向

面向複雜流程工業的質量異常監測、運行狀態評估與故障診斷

主要成就

論文著作

[1] Chuanfang Zhang*, Wenxiao Yin, Kaixiang Peng, Xueyi Zhang. An exergy-related soft sensor modeling framework for quality prediction in multimode hot rolling process based on bidirectional minimal gated unit and broad learning system, Engineering Research Express, 2024, 6: 045255.

[2] Chuanfang Zhang, Hongjun Zhang, Kaixiang Peng*, Jie Dong, Hanwen Zhang, Xueyi Zhang. A spatiotemporal synergetic operating performance assessment based on reconstructed correlation matrix and dissimilarity analytics for plant-wide hot strip mill process, Process Safety and Environmental Protection, 2024, 187: 195-205.

[3] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Ruihua Jiao. A novel exergy-related fault detection and diagnosis framework with transformer-based conditional generative adversarial networks for hot strip mill process, Control Engineering Practice, 2024, 144: 105820.

[4] Chuanfang Zhang*, Kaixiang Peng, Jie Dong, Xueyi Zhang, Kaixuan Yang. Exergy-related process monitoring for hot strip mill process based on improved support tensor data description, Energy, 2023, 284: 129372.

[5] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Xueyi Zhang, Kaixuan Yang. A robust fault classification method for streaming industrial data based on Wasserstein generative adversarial network and semi-supervised ladder network, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3511409.

[6] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Long Miao. A comprehensive operating performance assessment framework based on distributed Siamese gated recurrent unit for hot strip mill process, Applied Soft Computing, 2023, 132: 109889.

[7] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Long Miao. KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process, Expert Systems with Applications, 2022, 209: 118273.

[8] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis,Control Engineering Practice, 2021, 107: 104698.

[9] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A nonlinear full condition process monitoring method for hot rolling process with dynamic characteristic, ISA Transactions, 2021,112: 363-372.

[10] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process, Expert Systems with Applications, 2021, 167: 114166.

[11] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. An incipient fault detection and self-learning identification method based on robust SVDD and RBM-PNN, Journal of Process Control, 2020, 85: 173-183.

[12] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A P-t-SNE and MMEMPM based quality-related process monitoring method for a variety of hot rolling processes, Control Engineering Practice, 2019, 350: 1-11.

[13] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius, Neurocomputing, 2019, 350: 1-12.

[14] Chuanfang Zhang, Wenyou Du, Yunpeng Fan, Yingwei Zhang*, Ji Zhang. Fault diagnosis of non-Gaussian process based on FKICA, Journal of the Franklin Institute, 2017, 354(6): 2573-2590.

[15] Liang Ma, Jie Dong, Kaixiang Peng*, Chuanfang Zhang. Hierarchical monitoring and root-cause diagnosis framework for key performance indicator-related multiple faults in process industries, IEEE Transactions on Industrial Informatics, 2019, 15(4): 2091-2100.

[16] Ruihua Jiao, Kaixiang Peng*, Jie Dong, Chuanfang Zhang. Fault monitoring and remaining useful life prediction framework for multiple fault modes in prognostics, 2020, 203(5): 107028.

[17] Xueyi Zhang, Liang Ma, Kaixiang Peng*, Chuanfang Zhang. A novel quality-related distributed fault diagnosis framework for large-scale sequential manufacturing processes, IEEE Transactions on Industrial Informatics, 2024, 20(3): 4397-4407.

[18] Xueyi Zhang, Liang Ma, Kaixiang Peng*, Chuanfang Zhang, Muhammad Asfandyar Shahid. A cloud–edge collaboration based quality-related hierarchical fault detection framework for large-scale manufacturing processes, Expert Systems with Applications, 2024, 256(5): 124909.

[19] 彭開香, 張傳放*, 馬亮, 董潔, 焦瑞華, 唐鵬. 面向系統層級的複雜工業過程全息故障診斷. 化工學報, 2019, 70(2): 590-598.

專著

Digital thread-based lifecycle health management system for hot strip mill process, 冶金工業出版社，2024年3月，英文專著，第一著作者.

科研項目

[1] 國家自然科學基金青年基金項目，變工況模式下帶鋼熱軋全流程分散式監測與運行狀態綜合評估，2024.01-2026.12，主持。

[2] 博士後面上資助項目，時空協同的帶鋼熱軋全流程監測與運行工況評估方法研究，2023.02-2024.02，主持。

[3] 北京科技大學青年教師學科交叉項目，知識與數據聯合驅動的高爐爐況異常智慧型監控技術研究，2023.01-2024.12，主持。

[4] 中央高校基本科研業務費，軋鋼全流程質量監測與運行性能評估關鍵技術研究，2022.11-2024.10，主持。

[5] 國家重點研發計畫“工業軟體”重點專項項目：數據驅動的製造過程閉環控制分析與最佳化方法研究，項目批准號：2021YFB3301200，起止日期：2021.12～2024.11，主要參與人

[6] 國家自然科學基金聯合基金重點項目：板帶軋制全流程質量異常檢測與多工序協調最佳化研究，2022.01-2025.12，主要參與人

所獲榮譽

2021年，中國金屬學會“第四屆冶金青年創新創意大賽” 高校組二等獎

2021年，北京金屬學會第九屆“北冶杯” 青年學術演講比賽 優秀獎