教师介绍 | ||
| 教师姓名 | 肖朝昂 |
职务职称 | 讲师 | |
研究方向 | 机械设备信号处理与故障诊断 | |
联系电话 |
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caxiao@sspu.edu.cn | ||
通讯地址 | 上海浦东金海路2360号29楼906室 | |
个人简介 | ||
教育经历： 2021-2026 同济大学 工业工程 博士 2018-2021 温州大学 机械工程 硕士 2014-2018 盐城工学院 过程装备与控制工程 学士 工作经历： 2026-至今 上海第二工业大学 智能制造与控制工程学院 讲师 | ||
主要论文、专利及著作情况 | ||
l 论文： [1] Chaoang Xiao, Lu Wang and Jianbo Yu. Order-difference of normalized square envelope spectrum and its applications in early chatter detection of roll grinder, Mechanical Systems and Signal Processing. 2025, 224: 112067. (中科院1区TOP, JCR: Q1) [2] Chaoang Xiao, Jiantao Chang and Jianbo Yu. Multiple wave shape mode decomposition for bearing fault diagnosis, IEEE Transactions on Instrumentation and Measurement. 2025, 74: 6507811. (中科院2区, JCR: Q1) [3]Chaoang Xiao and Jianbo Yu. Adaptive swarm decomposition algorithm for compound fault diagnosis of rolling bearings, IEEE Transactions on Instrumentation and Measurement. 2023, 72: 1-14. (中科院2区, JCR: Q1) [4]Chaoang Xiao, Pu Yang, Shang Yue, Ruixu Zhou and Jianbo Yu. Bearing compound fault diagnosis using energy-constrained swarm decomposition and adaptive spectral amplitude modulation, IEEE Sensors Journal. 2024, 24(11): 18172-18184.(中科院2区, JCR: Q1) [5]Chaoang Xiao, Hesheng Tang, Yan Ren and Anil Kumar. Fuzzy entropy assisted singular spectrum decomposition to detect bearing faults in axial piston pump, Alexandria Engineering Journal. 2022, 61(8): 5869-5885. (中科院2区, JCR: Q1) [6] Chaoang Xiao, Hesheng Tang, Yan Ren, Jiawei Xiang and Anil Kumar. Adaptive MOMEDA based on improved advance-retreat algorithm for fault features extraction of axial piston pump, ISA Transactions. 2022, 128, 503-520. (中科院2区, JCR: Q1) [7]Chaoang Xiao, Hesheng Tang, Yan Ren, Jiawei Xiang and Anil Kumar. A fault frequency bands location method based on improved fast spectral correlation to extract fault features in axial piston pump bearings, Measurement. 2021, 171: 108734. (中科院2区, JCR: Q1) [8]Chaoang Xiao and Hesheng Tang. Compressed sensing reconstruction for axial piston pump bearing vibration signals based on adaptive sparse dictionary model, Measurement & Control. 2020, 53(3-4): 649-661. (中科院4区, JCR: Q3) [9] Chaoang Xiao and Hesheng Tang. Elastohydrodynamic lubrication characteristics of surface-textured slipper bearing in an axial piston pump, Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2020, 42(4): 1-18. (中科院4区, JCR: Q3) [10]Jianbo Yu, Chaoang Xiao, Tianzhong Hu and Yanfeng Gao. Selective weighted multi-scale morphological filter for fault feature extraction of rolling bearings, ISA Transactions. 2023, 132: 544-556. (中科院2区, JCR: Q1) [11]Wenyi Liu, Chaoang Xiao and Jianbo Yu. Incorporate rotational speeds into deep neural network for machinery health monitoring, IEEE Transactions on Industrial Informatics. 2024, 20(11): 1-12. (中科院1区TOP, JCR: Q1) [12]Wenyi Liu, Chaoang Xiao and Jianbo Yu. Vibration representation and speed-joint network for machinery fault diagnosis under time-varying conditions with sparse fault data, IEEE Transactions on Systems Man Cybernetics-Systems. 2026, 56(4): 2608-2621. (中科院1区TOP, JCR: Q1) [13] Mengqi Miao, Chaoang Xiao and Jianbo Yu. Multisource domain metalearning network for battery state-of-health estimation under multitarget working conditions, IEEE Transactions on Power Electronics. 2025, 40(7): 1-12. (中科院1区TOP, JCR: Q1) l 学术会议： [1] Chaoang Xiao, Jianbo Yu and Pu Yang. Bearing compound fault diagnosis based on enhanced variational mode extraction algorithm [C]. 2023 IEEE International Conference on Prognostics and Health Management (ICPHM). (EI检索) [2]Chaoang Xiao, Jianbo Shao, Lichun You and Jianbo Yu. Rolling bearing fault diagnosis using multisynchrosqueezing transform under time-varying [C]. 2023 8th International Conference on Robotics and Automation Engineering. (EI检索) [3]Chaoang Xiao and Hesheng Tang. Adaptive compressive sensing method based on optimal classification for bearing vibration signals in axial piston pump [C]. 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control. (EI检索) l 专利： [1] 余建波, 肖朝昂. 变转速工况下轧机振动信号特征指标归一化方法[P]. CN202310497504.8, 2023-08-01.（已授权） [2] 余建波, 肖朝昂. 一种基于多指标融合的轧辊磨床颤振故障诊断方法[P]. CN202211470546.4, 2023-03-14. [3]余建波, 肖朝昂. 一种基于多时变波形模式分解的变转速滚动轴承故障诊断方法[P]. CN202410690191.2, 2024-07-30. [4]余建波, 肖朝昂. 一种基于时变调制特征提取的行星齿轮箱故障诊断方法[P]. CN202411702258.6. 2025-03-18. | ||
主要科研项目 | ||
[1] 变工况强噪音环境下高端加工装备智能诊断与精准运维，上海第二工业大学-典型科研成果项目，（2026.6-2026.12），主持 [2]装备发展部“慧眼行动”：**武器**缺陷早期预示与**预诊**（2022.3-2025.8），参与. [3]上海市“科技创新行动计划”宝山转型发展科技专项项目：冷轧汽车外板生产线关键设备健康预诊与智能运维系统研发及示范应用（2022.5-2024.6），参与 [4]轧辊磨床设备数据采集系统技术开发及研究（2023.3-2024.3），参与 [5]风电机组在线监测智能预警系统（2024.5-2025.3），参与 | ||
荣誉及获奖 | ||
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