lZhongyuan Che, Chong Peng, etc. KAN-Based tool wear modeling with adaptive complexity and symbolic interpretability in CNC turning processes[J]. Applied Sciences, 2025, 15(14): 8035. 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. lPENG C, ZHANG Z, LIU W, et al. Ranking of key components of CNC machine tools based on complex network[J]. Mathematical Problems in Engineering, 2022: 6031626. lPENG C, CAI Y, LIU G, et al. Developing a reliability model of CNC system under limited sample data based on multisource information fusion[J]. Mathematical Problems in Engineering, 2020: 3645858. lCHEN M, PENG C, WANG H, et al. Research on a new non-contact electromagnetic loading device and material performance of its load plate[C]//The 11th International Conference on Mathematical Methods in Reliability. Kowloon, Hong Kong: IEEE, 2019: 1-8. lWU G, PENG C, LIAO T W. Research on edges immunization strategy for complex network based on SIS-CA model[J]. Procedia Manufacturing, 2018, 17: 1065-1072. lPENG C, DU H, LIAO T W. A research on the cutting database system based on machining features and TOPSIS[J]. Robotics and Computer-Integrated Manufacturing, 2017, 43: 96-104 lLIU G, PENG C. Reliability modeling of repairable system based on a stochastic model[C]//Proceedings of 2016 Prognostics and System Health Management Conference (PHM 2016). Chengdu, China: IEEE, 2016: 1-7. lChong Peng, Guangpeng Li, Lun Wang. Piecewise modelling and parameter estimation of repairable system failure rate, SpringerPlus, 2016, 5:1477 lPENG C, MENG Y. Empirical study of manufacturing enterprise collaboration network: Formation and characteristics[J]. Robotics and Computer-Integrated Manufacturing, 2016, 42: 49-62. 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, 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. lChong Peng, Lun Wang, T W Liao. A prototype web based decision support system for cutting parameters selection based on machining features[C]//Proceedings of the 24th International Conference on Manufacturing and Enterprise Transformation (FAIM 2014). San Antonio, Texas, USA: DEStech, 2014: 1-8. lChong Peng,, Liyun Lan, Qiang Liu, et al. Research on soft fault of computer numerical control system[J]. Chemical Engineering Transactions, 2013(33): 973-978. lPENG C, LIU Q, PANG T. Remote monitoring and fault diagnosis system based on the integration of MAS and LONWORKS technology and internet[C]//2011 Prognostics and System Health Management Conference (PHM-Shenzhen 2011). Shenzhen, China: IEEE, 2011: 1-6. |
