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课题组成果

（截止2024-06-07）

1、已发表SCI学术论文：

  1. Zhi, Z., Jiang, H*., Yang, D., Gao, J., Wang, Q., Wang, X., Wang J., & Wu, Y. Titanium alloy weld time-of-flight diffraction image denoising based on a wavelet feature fusion deep-learning model. Journal of Nondestructive Evaluation. (已录用，Ⅱ区, 影响因子：2.8).
  2. Jiang H*, Zhang X, Tao C, et al. Casting defect region segmentation method based on dual-channel encoding–fusion decoding network[J]. Expert Systems with Applications, 2024: 247(123254).
  3. Jiang H*, Yang D, Zhi Z, et al. A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network[J]. Journal of Intelligent Manufacturing, 2024, 35(1): 217-233.
  4. Zhi Z, Jiang H*, Yang D, et al. An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images[J]. Journal of Intelligent Manufacturing, 2023, 34(4): 1895-1909.
  5. Yang D, Jiang H*, Liu Z, et al. Radiographic image enhancement based on a triple constraint U-Net network[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2022, 64(9): 511-519.
  6. Jiang H*, Hu Q, Zhi Z, et al. Convolution neural network model with improved pooling strategy and feature selection for weld defect recognition[J]. Welding in the World, 2021, 65(4): 731-744.
  7. Yang L, Jiang H*. Weld defect classification in radiographic images using unified deep neural network with multi-level features[J]. Journal of Intelligent Manufacturing, 2021, 32(2): 459-469.
  8. Li J, Jiang H*, Shang A, et al. Research on associative learning mechanisms of L2 learners based on complex network theory[J]. Computer Assisted Language Learning, 2021, 34(5-6): 637-662.
  9. Ma D, Gao J, Gao Z, Jiang H, Zhang Z, Xie J. Gas leakage recognition for CO2 geological sequestration based on the time series neural network[J]. Chinese Journal of Chemical Engineering, 2020, 28(9): 2343-2357.
  10. Wang R, Peng C, Gao J, Gao Z, Jiang H. A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series[J]. Computational and Applied Mathematics. 2020, 39: 1-22.
  11. Jiang H, Wang R, Gao Z, et al. Classification of weld defects based on the analytical hierarchy process and Dempster–Shafer evidence theory[J]. Journal of Intelligent Manufacturing, 2019, 30: 2013-2024.
  12. Chang Y, Gao J, Jiang H*. A novel method of text detection in radiographic images[J]. Insight-Non-Destructive Testing and Condition Monitoring. 2019, 61(10): 591-596.
  13. Chang Y, Gao J, Jiang H*, Wang Z. A novel method of radiographic image enhancement based on phase symmetry[J]. Insight-Non-Destructive Testing and Condition Monitoring. 2019, 61(10): 577-583.
  14. Liang Z, Gao J, Jiang H, et al. A degradation degree considered method for remaining useful life prediction based on similarity[J]. Computing in Science & Engineering, 2018, 21(1): 50-64.
  15. Liang Z, Gao J, Jiang H*, et al. A similarity-based method for remaining useful life prediction based on operational reliability[J]. Applied Intelligence, 2018, 48: 2983-2995.
  16. Wang R, Gao J, Gao Z, Gao X, Jiang H. Analysis of multifractality of multivariable coupling relationship of complex electromechanical system in process industry[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 2017, 231(6):1087-1100.
  17. Wang R , Gao J , Gao Z , Gao X, Jiang H , Liang Z . Interaction Analysis-Based Information Modeling of Complex Electromechanical Systems in the Processing Industry[J]. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, 2017, 231(8):638-651. DOI: 10.1177/0959651817718454.
  18. Jiang H, Zhao Y, Gao J, et al. Adaptive pseudo-color enhancement method of weld radiographic images based on HSI color space and self-transformation of pixels[J]. Review of Scientific Instruments, 2017, 88(6), 065106.
  19. Gao Z Y, Wang R X, Jiang H Q, et al. Coupling analysis-based false monitoring information identification of production system in process industry[J]. Science China Technological Sciences, 2017, 60: 807-817.
  20. Jiang H, Wang R, Gao J, et al. Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry[J]. Knowledge-Based Systems, 2017, 124: 176-187.
  21. Jiang H, Zhao Y, Gao J, et al. Weld extraction of radiographic images based on Bezier curve fitting and medial axis transformation[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2016, 58(10): 531-535.
  22. Jiang H, Zhao Y, Gao J, et al. Weld defect classification based on texture features and principal component analysis[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2016, 58(4): 194-199.
  23. Wang, R., Gao, J., Gao, Z., Gao, X., & Jiang, H. (2016). Complex network theory-based condition recognition of electromechanical system in process industry[J]. Science China Technological Sciences, 59, 604-617.
  24. Jiang H, Liang Z, Gao J, et al. Classification of weld defect based on information fusion technology for radiographic testing system[J]. Review of Scientific Instruments, 2016, 87(3).
  25. Kai S, Jianmin G, Zhiyong G, Hongquan J, Xu G. Plant-wide quantitative assessment of a process industry system’s operating state based on color-spectrum[J]. Mechanical Systems and Signal Processing. 2015 Aug 1;60:644-55.
  26. Mu W, Gao J, Jiang H*, et al. A radiographic image quality assessment algorithm based on network topology analysis[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2014, 56(1): 10-14.
  27. Mu W, Gao J, Jiang H*, et al. Automatic classification approach to weld defects based on PCA and SVM[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2013, 55(10): 535-539.
  28. Lv, Y., Gao, J., Gao, Z., & Jiang, H*. Multifractal information fusion based condition diagnosis for process complex systems. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2013, 227(3), 178-184.
  29. Huang X, Gao J, Jiang H*, et al. Fault root cause tracing of complicated equipment based on fault graph[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2013, 227(1): 17-32.
  30. Li LJ, Gao JM, Chen K, Jiang HQ. The identification of irrationally allocated resources in business process based on network centrality analysis. International Journal of Computer Integrated Manufacturing. 2011 Aug 1;24(8):748-55.

2、已发表EI及核心论文：

  1. 姜洪权, 黄开程, 周智, 等.融合设备状态和产品要求的电解铜箔制造工艺参数优化[J].西安交通大学学报, 2024. (EI，已经录用，暂未分配卷号和页码)
  2. 黄开程, 杨祥魁, 姜洪权*, 等.高强极薄铜箔制造过程的质量管控要素及常见质量问题的应对分析[J].电镀与精饰, 2024,46(04):66-73. (中文核心)
  3. 黄开程, 姜洪权*, 苗东, 等.面向高强极薄铜箔制造过程的多维度质量控制系统设计[J].电镀与涂饰, 2023,42(20):1-10. (中文核心)
  4. Zhou Z, Jiang H*, Huang K, et al. A Multi-objective Constrained Optimization Method for Manufacturing Process Parameters of Electrolytic Copper Foil[C]. 2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2024, 7: 1667-1672.
  5. Cheng Z, Jiang H*, Jing Q, et al. TOFD Image Enhancement Method of Titanium Alloy Welds Based on Anisotropic Diffusion Model with Regional Adaptive Strategy[C]. 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2022: 1869-1874.
  6. Cheng H, Jiang H*, Liu Z, et al. Radiographic Image Enhancement Method For Complex Components based on Deep Learning Theory[C]. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022, 6: 913-918.
  7. Zhou T, Zhang K, Jiang H, Wang G. Stability analysis method of slow injection process based on edge detection[C] theory. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022 6: 209-213.
  8. 支泽林，姜洪权*，杨得焱，程志翔，高建民，王泉生，王晓桥，王景人，石养鑫. 图谱数据深度学习融合模型及焊缝缺陷识别方法[J]. 西安交通大学学报, 2021,55(05):73-82.
  9. Jiang HQ*, Wang PX, Gao JM, Chen HY, Yang H, Shi ZG, Yang DY et al. A Method for Detecting Micro-scale Weld Defects in Complex Background[C]. Proceedings of 2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). June 18-20, 2021.Chongqing, China.
  10. Hongquan Jiang*, Deyan Yang, Qihang Hu, Zelin Zhi, Jianmin Gao, Xiaoqiao Wang, Xiaoming Zhang, Huaxiang Pu, Hua Li. Sensitivity Evaluation of Radiographs Based on Multi-dimensional Data Coupling Analysis[C]. 2020 IEEE 6th International Conference on Computer and Communications (ICCC). IEEE, 2020: 1810-1815.
  11. 姜洪权*, 贺帅, 高建民, 王荣喜, 高智勇, 王晓桥, 夏锋社, 程雷.一种改进卷积神经网络模型的焊缝缺陷识别方法[J]. 机械工程学报, 2020, 56(08):235-242.
  12. Hongquan Jiang , Hua Li, Lu Yang, Pengxing Wang, Qihang Hu, XiaoSai Wu. A fast weld region segmentation method with noise removal[C]. Proceedings of 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2019. Piscataway，NJ，USA：IEEE, 2019: 1492-1496．
  13. 姜洪权, 周涛, 高建民,等. 压力容器服役质量指标体系构建及评价方法研究[J]. 西安交通大学学报, 2019(6):23-28,116. DOI: 10.7652/xjtuxb201906004.
  14. Hongquan Jiang, Jianmin Gao, Fengshe Xia, Xiaoming Zhang, Tao Zhou, Dongcheng Liu. Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring Data[C]. IEEE international conference on prognostics and health management, 2019: 1-7.
  15. Liang F, Gao J, Li F, Xu L, Wang Z, Jiang H. A central cooling structure for motorized spindles: principle and application[C]. 2019 18th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). IEEE, 2019: 1204-1211.
  16. 姜洪权, 程雷, 高建民,等. 一种考虑制造单元性能的工艺参数优化设计方法[J]. 西安交通大学学报, 2018, 52(10):80-87. DOI: 10.7652/xjtuxb201810011.
  17. 梁泽明, 姜洪权, 周秉直, 等. 多参数相似性信息融合的剩余寿命预测[J]. 计算机集成制造系统, 201824(4):813-819. DOI: 10.13196/j.cims.2018.04.001.
  18. Ya Sen Jiang J, Gao J, Gao Z, Jiang H. A Classification Method for Abnormal Patterns of Complex Electromechanical System for Discriminant Analysis Nuclear Entropy[C]. Advances in Mechanical Design: Proceedings of the 2017 International Conference on Mechanical Design (ICMD2017) 2018: 1441-1451.
  19. 姜洪权，王岗，高建民，高智勇，高瑞琪，郭旗. 一种适用于高维非线性特征数据的聚类算法及应用[J],西安交通大学学报. 2017, 2017,51(12):49-55+90.
  20. 姜洪权, 王岗, 高建民,等. 高血压患者并发症模式的分析方法研究[J]. 中国循证医学杂志, 2017, 17(9):6. DOI: CNKI:SUN:ZZXZ.0.2017-09-018.
  21. 亚森江·加入拉, 高建民, 高智勇, 姜洪权等.一种复杂机电系统LE-SVDD异常监测方法[J].振动.测试与诊断, 2017,37(03): 469-475+625-626. DOI:10.16450/j.cnki.issn.1004-6801.2017.03.008.
  22. Wang R, Gao J, Gao Z, Liang Y, Jiang H. Information transfer-based root cause tracing for information quality problems of complex electromechanical systems in process industry[C]. Proceedings of the 22nd MIT International Conference on Information Quality, ICIQ 2017.
  23. Gao Z, Gao J, Wang R, Liang Y, Jiang H. A methodology for accuracy assessment of information quality in the processing production system[C]. Proceedings of the 22nd MIT International Conference on Information Quality, ICIQ 2017.
  24. 姜洪权, 王金宇, 高智勇,等. 基于多色集合理论的大型装备IETM数据模块创作技术[J]. 计算机集成制造系统, 2015, 21(6): 1536-1545. DOI: 10.13196/j.cims.2015.06.016.
  25. Jiang H , Xu G , Gao Z , et al. A dual-parameter optimization KPCA method for process fault diagnosis[C]. 2015 Annual Reliability and Maintainability Symposium (RAMS), 2015: 1-7, DOI: 10.1109/RAMS.2015.7105134.
  26. 高智勇, 梁银林, 高建民, 姜洪权. 基于集成熵KPCA的复杂机电系统状态监测方法[J]. 计算机集成制造系统, 2015, 21(5): 1327-1333. DOI: 10.13196/j.cims.2015.05.021.
  27. 姜洪权, 高建民, 梁泽明,等. 基于D-S证据理论的压射工艺模式辨识技术[J]. 计算机集成制造系统, 2015, 21(5): 1343-1349. DOI: 10.13196/j.cims.2015.05.023.
  28. 姜洪权, 王金宇, 高建民,等. 面向复杂系统故障溯源的SDG-FG模型建模方法[J]. 计算机集成制造系统, 2015, 21(3): 749-757. DOI: 10.13196/j.cims.2015.03.020.
  29. Wang Rongxi, Gao Jianmin, Gao Zhiyong, Gao Xu , Jiang Hongquan. Hilbert-Huang Transform Based Pseudo-Periodic Feature Extraction of Nonlinear Time Series[C]. 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation, 2015: 532-537. DOI: 10.1109/ICMTMA.2015.135.
  30. Wang R , Gao J , Gao Z , Jiang H , Cui L . Data fusion based phase space reconstruction from multi-time series[C]. International Journal of Database Theory & Application, 2015. DOI: 10.14257/ijdta.2015.8.6.09.
  31. 高智勇, 霍伟汉, 高建民, 姜洪权. 化工系统海量数据的扩散映射和异常辨识[J]. 计算机集成制造系统, 2014, 20(012):3091-3096. DOI: 10.13196/j.cims.2014.12.020.
  32. 杜雷, 高建民, 陈琨, 姜洪权. 基于多失效模式相关分析的技术特征综合配置方法[J].计算机集成制造系统, 2014, 20(10): 2512-2521. DOI:10.13196/j.cims.2014.10.019.
  33. Wei-Lei Mu, Jian-Min Gao, Hong-Quan Jiang*, Fu-Min Chen, Zhi-Yong Gao, Kun Chen, Chang-Ying Dang. A Method of Radiographic Image Quality Enhancement[C]. international conference on measuring technology and mechatronics automation, 2013: 29-32.
  34. Jiang H.*, Gao J., Gao Z., Lv Y., & Suo H.. Approach of Building SDG Model based on Community Structure Analysis [C]. COMADE, 2013, 11-13, June, Helsinki.
  35. 穆为磊,高建民,王昭,姜洪权*等.考虑人眼视觉特性的射线检测数字图像质量评价方法[J].西安交通大学学报,2013,47(07):91-95.
  36. 穆为磊,高建民,陈富民,姜洪权.符合人眼视觉特性的焊缝射线数字图像增强方法[J].西安交通大学学报,2012,46(03):90-93+99.
  37. Jiang H*, Gao J, Mu W, Chen F. Research on diagnosis of abnormal causes in quality of weld based on the Bayesian net model[C]. 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering 2011 Jun 17 (pp. 505-508). IEEE.
  38. Lui, Y., Gao, J., Jiang, H., & Chen, K. (2011, January). Condition recognition of complex systems based on multi-fractal analysis[C]. 2011 Proceedings-Annual Reliability and Maintainability Symposium (pp. 1-6). IEEE.
  39. Pan J, Jiang H*, Gao J, Yang P. Condition diagnosis with complex network-time series analysis[C]. 2011 Proceedings-Annual Reliability and Maintainability Symposium 2011 Jan 24 (pp. 1-6). IEEE.
  40. Huang X, Gao J, Jiang H*, et al. A systematic fault root causes tracing method for process systems[C]. 2011 Proceedings-Annual Reliability and Maintainability Symposium,2011(pp. 1-7). IEEE.
  1. Jiang H, Gao J, Gao Z, Lv Y, & Huang X. Condition Diagnosis of Process Industry System with Topology Analysis Based on Complex Network[C]. COMADE, 2010.
  2. Lui Y, Gao J, Gao, Z, Huang X, Jiang H. Application research of fractal information fusion on condition recognition in process industry complex systems[C]. COMADE, 2010.
  3. Jiang H, Gao J, Chen F. System failure analysis based on complex network theory[C]. 2009 Annual Reliability and Maintainability Symposium. IEEE, 2009: 176-181.
  4. 姜洪权,高建民,陈富民等.基于网络特性的分布式复杂机电系统脆弱性分析[J].计算机集成制造系统,2009,15(04):791-796.DOI:10.13196/j.cims.2009.04.169.jianghq.007.
  5. Jiang H*, Gao J, Gao Z, et al. Safety analysis of process industry system based on complex networks theory[C]. 2007 International Conference on Mechatronics and Automation. IEEE, 2007: 480-484.
  6. 姜洪权,高建民,陈富民等.基于复杂网络理论的流程工业系统安全性分析[J].西安交通大学学报,2007(07):806-810.
  7. 李果,高建民,姜洪权.基于多色集合的多重故障建模与推理技术研究[J].计算机集成制造系统,2007(04):643-648.DOI:10.13196/j.cims.2007.04.21.lig.004.
  8. 李果,高建民,高智勇 & 姜洪权.(2007).基于小世界网络的复杂系统故障传播模型[J].西安交通大学学报(03),334-338.

3、已授权专利：

  1. 姜洪权;刘东程;高建民;胡启航.基于数据变化特征模糊度量的热量表性能退化评估方法. ZL201911378214.1. 已授权.
  2. 姜洪权;王鹏星;高建民;王荣喜;王瑜;支泽林;武小赛;胡启航. 一种射线图像焊缝区域缺陷探测方法、存储介质及设备. ZL202010809005.4. 已授权.
  3. 姜洪权; 蒲华祥; 高建民; 王荣喜; 胡启航; 刘东程. 一种热量表性能退化评估方法、存储介质及设备. ZL202010937193.9. 已授权.
  4. 姜洪权;高建民;夏锋社;高智勇;王荣喜;周涛;刘东程. 一种基于监测数据多属性特征融合的管道状态识别方法: ZL201910198288.0 已授权.
  5. 高建民;谢军太;高智勇;姜洪权;吕晓喆;王荣喜. 一种基于自组织特征映射的机电系统服役动态标记方法: ZL201810602701.0 已授权.
  6. 姜洪权;高建民;高智勇;王荣喜;周涛;刘东程. 一种慢压射过程稳定性定量分析方法: ZL201810596104.1 已授权.
  7. 姜洪权;高建民;高智勇;王荣喜;李华;程雷;贺帅. 基于灰度变化特征分析的无损射线底片灵敏度判别方法: ZL201810940669.7 已授权.
  8. 姜洪权; 高建民; 高智勇; 王荣喜; 刘东程; 周涛; 梁泽明. 一种基于多属性的设备性能退化评估方法: ZL201810785788.X 已授权.
  9. 高智勇;李鼎;梁艳杰;亢嘉妮;王荣喜;高建民;姜洪权. 一种基于耦合关系的流程工业生产系统数据监测方法: ZL201810442946.1. 已授权.
  10. 姜洪权,王鹏星,高建民,王荣喜,王瑜,支泽林,武小赛,胡启航. 一种射线图像焊缝区域缺陷探测方法、存储介质及设备：中国，ZL202010809005.4.已授权.
  11. 姜洪权,高建民,高智勇,王昭,王荣喜,程雷,昌亚胜,贺帅. 基于天牛须算法和数学形态学的射线图像焊缝提取方法：中国,ZL201810367303.5.已授权.
  12. 姜洪权,高建民,高智勇,王昭,王荣喜,贺帅,昌亚胜,程雷. 一种基于改进LeNet-5模型的焊缝缺陷识别方法：中国, ZL201810368229.9.已授权.
  13. 姜洪权,高建民,王晓桥,王泉生,夏锋社,贺帅,程雷,李华,昌亚胜. 一种基于改进卷积神经网络模型的焊缝缺陷识别方法：中国, CN201810709776.9.已授权.
  14. 姜洪权,高建民,王晓桥,王泉生,夏锋社,程雷,贺帅,李华. 一种基于边缘检测的射线图像标记信息字符分割方法：中国，CN201811573372.8.已授权.
  15. 高建民;李云龙;姚卫杰;姜洪权;王昭;高智勇. 一种自动遮光调节装置及其控制方法:中国,ZL2018103210457. 已授权
  16. 王荣喜;高建民;高智勇;姜洪权;彭财元. 一种复杂机电系统服役模式自动识别方法:中国, ZL201811223045.X.已授权.
  17. 高建民;谢军太;高智勇;姜洪权;陈琨;冯龙飞. 一种基于自适应符号传递熵的机电系统交互网络建模方法:中国, ZL201810954284.6.已授权.
  18. 姜洪权;高建民;高智勇;王荣喜;周涛;刘东程;梁泽明. 一种基于多退化样本数据融合的热量表剩余寿命预测方法:中国, ZL201810863794.2.已授权.
  19. 高智勇;高建民;曹杰;姜洪权;谢军太. 一种基于形位公差与尺寸公差的机械零件选配方法:中国, ZL201810771854.8.已授权.
  20. 高智勇;高建民;姜洪权;陈富民;江遥;梁泽明;马冬媛;高瑞琪. 一种基于PCA-Cpk的冷连轧生产线服役质量状态评估方法: ZL201710035596.2 已授权.
  21. 高智勇;谢军太;高建民;姜洪权;王荣喜;冯龙飞. 基于网络结构熵的流程工业机电系统耦合状态评估方法:中国,ZL201810508428.5.已授权.
  22. 姜洪权;高建民;高智勇;张雪微;梁泽明;姜朋;高瑞琪. 一种综合质量目标与设备性能的挤出吹塑工艺优化方法:中国, ZL2017100360142.已授权.
  23. 王荣喜;高建民;姜洪权;高智勇;陈琨. 一种可靠性敏感度驱动的高端复杂装备可靠性分析方法:中国, ZL201711332578.7.已授权.
  24. 高智勇;高瑞琪;梁泽明;亢嘉妮;姜朋. 一种基于改进PCA的带钢冷轧质量问题溯源及控制方法:中国, ZL201710035587.3.已授权.
  25. 王荣喜;高建民;高智勇;姜洪权. 一种数据驱动的复杂机电系统服役质量状态评估方法:中国, ZL201611249707.1.已授权.
  26. 姜洪权;高建民;王宏叶;梁泽明;张雪微;刘文强;张凡勇;高瑞琪. 一种适用于多品种计量仪表通讯的参数动态解析方法: 中国, ZL2016103785347.已授权.
  27. 姜洪权;高建民;梁泽明;麻兴斌;王俊;张文飞.适用于在生产流水线的工业产品外形进行圆弧直径在线检测的方法: 中国, ZL201410454074.2. 已授权.
  28. 姜洪权，高建民，梁泽明，麻兴斌，王俊等.基于机器视觉的工业产品外形直径在线检测的方法:中国，CN201410454075.7.已授权.
  29. 高建民，王昭，陈富民，苏赵等．工业射线检测底片数字化装置：中国，201310117881.0[P]．已授权.
  30. 高建民,王昭,陈富民,党长营等.工业射线检测底片数字化装置:：中国, ZL201210012776.6 [P].已授权.
  31. 高建民，孙锴，高智勇，陈富民，姜洪权等.基于二维彩色数字图谱的复杂机电系统状态评估方法：中国，ZL201110146488.5.已授权
  32. 陈富民;高建民;高智勇;姜洪权. 一种流程工业系统的过程故障分析装置及方法:中国，ZL200810232132.1.已授权.
  33. 高建民，陈富民，申清明等．西安交通大学．基于射线衰减能量场的无损检测缺陷提取、识别方法：中国，200710018884.3[P]．已授权．
  34. 李成，高建民，陈富民，陈琨，申清明等．西安交通大学．工业射线检测底片数字化装置：中国，200710018919.3[P]．已授权．

4、已申请软件著作权：

  1. 螺旋管焊缝无损检测视频缺陷数据云存储信息管理系统V1.0:中国, 2023SR1070934.已授权.
  2. 螺旋管焊缝射线检测数字图像预处理系统V1.0:中国, 2023SR1075501.已授权.
  3. 基于射线检测数字视频的螺旋管焊缝缺陷目标检测系统V1.0:中国, 2023SR1075304.已授权.
  4. 基于射线检测数字图像的复杂金属构件缺陷类型识别系统V1.0:中国, 2023SR0236946.已授权.
  5. 压力球罐TOFD图谱预处理系统V1.0:中国, 2022SR1462666.已授权.
  6. 基于TOFD图谱的压力球罐缺陷目标检测系统V1.0:中国, 2022SR1462315.已授权.
  7. 复杂金属构件射线检测数字图像预处理系统V1.0:中国, 2022SR0169648.已授权.
  8. 基于射线检测图像的复杂金属构件缺陷类型识别系统. 中国,2021SR1616025.已授权.
  9. 流程工业压力容器服役质量评估与管理系统 V1.0:中国, 2020SR0641628.已授权.
  10. 多源信息融合的焊接质量综合评价系统V1.0:中国,2020SR0884541[P].已授权.
  11. 射线底片字符信息自动识别软件V1.0: 中国,2020SR0727684[P]. 已授权.
  12. 射线底片数字化图像综合预处理系统V1.0:中国,2020SR1211282[P].已授权.
  13. 无损检测资源与质量管理系统:中国, 2018SR562907.已授权.
  14. 数据驱动的复杂机电系统服役质量状态评估系统软件:中国,2017SR575000.已授权.
  15. 冷轧带钢板厚在线质量判定系统V1.0:中国,2017SR234475.已授权.
  16. 冷轧带钢板面在线质量判定系统V1.0:中国,2017SR234567.已授权.
  17. 冷轧带钢板形在线质量判定系统V1.0:中国,2017SR234485.已授权.
  18. 冷轧带钢生产线运行状态监测与分析智能化系统V1.0:中国,2017SR037557.已授权.
  19. 冷轧带钢在线质量综合评价系统V1.0:中国,2017SR289847.已授权.
  20. 冷轧带钢质量工艺保证系统V1.0:中国,2017SR022863.已授权.
  21. 冷轧带钢质量问题原因追溯系统V1.0:中国,2017SR022864.已授权.
  22. 挤吹塑产品生产过程壁厚控制系统V1.0:中国,2016SR141123.已授权.
  23. 挤出吹塑产品关键工艺参数监测系统:中国,2016SR145548.已授权.
  24. 数字化车间认知管理系统软件V1.0:中国,2016SR194724.已授权.
  25. 挤压机闭环实时控制系统软件V1.0:中国, 2016SR195354.已授权.
  26. 热量表耐久性实验装置运行状态监测系统V1.0:中国,2016SR148661.已授权.
  27. 热量表耐久性实验仪表状态信息监测系统V1.0:中国,2016SR148633.已授权.
  28. 热量表可靠性实验变频控制系统V1.0:中国,2016SR148634.已授权.
  29. 在线SPC及数字化车间教学系统V1.0:中国, 2016SR144708.已授权.
  30. 企业多态多工位质量数据分析平台软件:中国,2015SR038821.已授权.
  31. 压铸机监测系统客户端软件V2.0:中国,2015SR193638.已授权.
  32. 压铸机闭环监控系统软件V2.0:中国,2015SR073632.已授权.
  33. 压铸机专家知识库客户端软件V1.0:中国,2015SR073686.已授权.
  34. 制造现场质量状态综合管理系统V1.0:中国,2014SR204728.已授权.
  35. 图像处理圆弧测量系统客户端软件V1.0:中国,2014SR103383.已授权
  36. 吹塑瓶外观质量监测系统客户端软件V1.0:中国,2014SR103915.已授权.
  37. 能源化工企业生产系统状态分析与监控软件:中国,2014SR167656.已授权.
  38. 能源化工企业安全指数分析预警系统软件:中国,2014SR167462.已授权.
  39. 分布式制造现场状态管理及质量控制系统V1.0:中国,2013SR139726.已授权.
  40. 数据驱动的复杂机电系统生产监控分析软件:中国,2013SR061757.已授权.
  41. 射线底片数字化软件V2.0:中国, 2012SR062667[P].已授权.
  42. 计算机辅助评片专家系统软件V2.0:中国, 2012SR109756[P].已授权.