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出生年月

1974年11月

籍貫

江西樟樹

職稱

 教授

學(xué)歷

博士

電話

辦公室

3號樓335

系別

機(jī)械制造及其自動化

職務(wù)

江西研究院院長

電子信箱

 pch@buaa.edu.cn

傳真

個人主頁

◆學(xué)習(xí)經(jīng)歷

l2002-2006年 北京航空航天大學(xué) 機(jī)械制造及其自動化專業(yè) 博士

l2000-2002年  北京航空航天大學(xué) 機(jī)械制造及其自動化專業(yè) 碩士

l1992-1996年   南昌大學(xué) 工業(yè)電氣自動化專業(yè) 學(xué)士

◆工作經(jīng)歷

l2007.03-至今 北京航空航天大學(xué) 機(jī)械工程及自動化學(xué)院

l2024.01-至今 北京航空航天大學(xué) 江西研究院

l2018.09-2020.06北京航空航天大學(xué) 發(fā)展規(guī)劃部

l2008.06-2010.05 北京航空航天大學(xué) 人事處

◆研究領(lǐng)域

l數(shù)控裝備可靠性技術(shù)

l制造過程優(yōu)化建模及應(yīng)用

l網(wǎng)絡(luò)化制造服務(wù)系統(tǒng)

◆榮譽(yù)及獎勵

l全國第三屆“工程碩士實(shí)習(xí)實(shí)踐優(yōu)秀成果獲得者”指導(dǎo)教師

l中國機(jī)械工業(yè)科學(xué)技術(shù)獎科技進(jìn)步特等獎

l中國機(jī)械工業(yè)科學(xué)技術(shù)獎科技進(jìn)步一等獎

l中國質(zhì)量協(xié)會質(zhì)量技術(shù)獎一等獎

◆開授課程

l本科生課程：《制造工程基礎(chǔ)——公差與互換性》

l本科生課程：《先進(jìn)加工技術(shù)及裝備》

l留學(xué)生課程：《Advanced Processing Technology and Equipments》

l研究生課程： 《數(shù)控機(jī)床加工動力學(xué)特性測試與銑削過程仿真優(yōu)化實(shí)驗(yàn)》

◆教學(xué)及科研成果

代表論文：

lChong Peng, Zhongwen Zhang, etc.. A hybrid approach for the dynamic flexible job shop scheduling problem considering machine failures. Journal of Scheduling, Volume:28, Issue4, 2025:407-424.

lZhongyuan Che, Chong Peng, etc.. A Novel Integrated TDLAVOA-XGBoost Model for Tool Wear Prediction in Lathe and Milling Operations. Results in Engineering. online 25 June 2025, 105984.

lZhongyuan Che, Chong Peng, etc.. Improving Milling Tool Wear Prediction through a Hybrid NCA-SMA-GRU Deep Learning Model. Expert Systems with Applications, 255(2024): 124556

lZhongyuan Che, Chong Peng, Chenxiao Yue. Optimizing LSTM with multi-strategy improved WOA for robust prediction of high-speed machine tests data. Chaos, Solitons & Fractals, 178, 2024: 114394

lChong Peng, Zhongyuan Che, etc.. Prediction using multi-objective slime mould algorithm optimized support vector regression model. Applied Soft Computing, 145, 2023: 110580

lXie Bin, Peng Chong, Wang Yanzhong. Combined relevance vector machine technique and subset simulation importance sampling for structural reliability. Applied Mathematical Modelling, 2023, 113: 129-143.

主要項(xiàng)目：

l自然科學(xué)基金面上項(xiàng)目，基于多模態(tài)數(shù)據(jù)與人工智能的數(shù)控系統(tǒng)功能性能測評研究（2026-2029）

l國家重大科研儀器研制項(xiàng)目，基于跨尺度宏微協(xié)同的超精密空間光機(jī)跟瞄儀（2023-2027）

l自然科學(xué)基金面上項(xiàng)目，基于部件退化動態(tài)耦合關(guān)系模型的數(shù)控系統(tǒng)多源信息融合可靠性研究（2019-2022）

l國家智能制造專項(xiàng)，數(shù)控裝備故障信息數(shù)據(jù)字典標(biāo)準(zhǔn)研制及試驗(yàn)驗(yàn)證（2017-2020）

l國家科技重大專項(xiàng)，國產(chǎn)高檔數(shù)控系統(tǒng)可靠性第三方測試及可靠性增長研究（2016-2019）

l國家智能制造專項(xiàng)，數(shù)控機(jī)床互聯(lián)互通協(xié)議標(biāo)準(zhǔn)數(shù)據(jù)項(xiàng)定義（2016-2018）

◆學(xué)術(shù)與社會服務(wù)

l全國自動化系統(tǒng)與集成標(biāo)準(zhǔn)化技術(shù)委員會物理設(shè)備控制分技術(shù)委員會委員

Date of Birth

Nov 23, 1974

Place of Birth

Zhangshu, Jiangxi, China

Academic title

 Professor

Degree

Phd

Office

3#335

Department

Mechanical Manufacture and Automation

Email

 pch@buaa.edu.cn

 Homepage

◆Education

lSep. 2000 – Nov. 2006: Doctor of Engineering, in Mechanical Engineering, Beihang University, Beijing, China

lSep. 1992 – Jul. 1996: Bachelor of Engineering, in Electric Automation, Nanchang University, Nanchang, China

◆Work Experience

lMar. 2007 - present: School of Mechanical Engineering and Automation, Beihang University, China

lMar. 2007 – Mar. 2010: Human Resource Department, Beihang University, China

lJul. 1996 – Aug. 2000: Nanchang Cigarette Factory, China

◆Research Interest

lManufacturing Equipment Reliability Test Technology

lmanufacturing process optimization modeling and application

◆Honours and Awards

◆Teaching

lDynamics Testing of CNC Machine and Simulation of Milling Process （for graduate student）

lFundamentals of Manufacturing Engineering （for undergraduate student）

lAdvanced Processing Technology and Equipments （for undergraduate student and international student）

◆Publications

lChong Peng, Zhongwen Zhang, etc.. A hybrid approach for the dynamic flexible job shop scheduling problem considering machine failures. Journal of Scheduling, Volume:28, Issue4, 2025:407-424.

lZhongyuan Che, Chong Peng, etc.. A Novel Integrated TDLAVOA-XGBoost Model for Tool Wear Prediction in Lathe and Milling Operations. Results in Engineering. online 25 June 2025, 105984.

lZhongyuan Che, Chong Peng, etc.. Improving Milling Tool Wear Prediction through a Hybrid NCA-SMA-GRU Deep Learning Model. Expert Systems with Applications, 255(2024): 124556

lZhongyuan Che, Chong Peng, Chenxiao Yue. Optimizing LSTM with multi-strategy improved WOA for robust prediction of high-speed machine tests data. Chaos, Solitons & Fractals, 178, 2024: 114394

lChong Peng, Zhongyuan Che, etc.. Prediction using multi-objective slime mould algorithm optimized support vector regression model. Applied Soft Computing, 145, 2023: 110580

lXie Bin, Peng Chong, Wang Yanzhong. Combined relevance vector machine technique and subset simulation importance sampling for structural reliability. Applied Mathematical Modelling, 2023, 113: 129-143.

lChong Peng, YuJie Meng. Empirical study of manufacturing enterprise collaboration network: Formation and characteristics. Robotics and Computer-Integrated Manufacturing, 2016, 42: 49-62.

lChong Peng, Guangpeng Li, Lun Wang. Piecewise modelling and parameter estimation of repairable system failure rate, SpringerPlus, 2016, 5:1477

lChong Peng, Lun Wang, T. Warren Liao. A new method for the prediction of chatter stability lobes based on dynamic cutting force simulation model and support vector machine. Journal of Sound and Vibration, 2015, 354: 118-131.

lChong Peng, Hanheng Du, T. Warren Liao. A research on the cutting database system based on machining features and TOPSIS. Robotics and Computer-Integrated Manufacturing, http://dx.doi.org/10.1016/j.rcim.2015.10.011.

lChong Peng, Yujie Meng, Wei Guo. Influence of Laser Shock Processing on WC–Co Hardmetal. Materials and Manufacturing Processes, 2015,31(6): 794-801.

lChong Peng, Lun Wang, Zhongqun Li, Yiqing Yang. Time-domain simulation and experimental verification of dynamic cutting forces and chatter stability for circular corner milling. Part B: Journal of Engineering Manufacture, 2015, 229(6): 932-939.