张恒
副研究员
专业：控制科学与工程
所属科研团队：装备智能健康评估团队
研究方向：装备故障预测与健康管理，剩余寿命预测，电池管理系统
Email: hengscu@163.com
地址：四川省成都市一环路南一段24号四川大学基础教学楼B座217
学习和工作简历
教育经历：
2016/09-2021/06，四川大学空天科学与工程学院，机械工程，博士，导师：苗强教授
2012/09-2016/06，哈尔滨工程大学航天与建筑工程学院，质量与可靠性工程，学士
访学经历：
2019/12-2020/11，University of South Carolina，美国，联合培养博士，导师：Bin Zhang 教授
工作经历：
2025/02-至今，四川大学，电气工程学院，副研究员
2021/06-2025/02，四川大学，电气工程学院，副研究员（专职科研）
2021/09-2023/06，四川大学，电气工程学院，助理研究员
科研项目：
[1] 国家重点研发计划课题，在用CT球管可靠性评价与AI寿命预测方法研究，主持
[2] 国家自然科学基金青年基金，基于Lebesgue采样的动力电池组状态联合估计与寿命预测研究，主持
[3] 四川省自然科学基金，飞行器机载电传作动系统健康状态在线评估与预测研究，主持
[4] 中国博士后科学基金，资源受限的空间锂离子蓄电池组在轨健康管理关键技术研究，主持
[5] 国家重点研发计划项目，基于在用CT设备临床时序数据的国产球管性能优化共性关键技术研究，主研
[6] 国家重点研发计划项目，大规模制造产业网状结构价值链数字生态理论研究，主研
[7] 国家自然科学基金面上项目，低质数据流的半监督演化建模及应用，主研
[8] 国家自然科学基金面上项目，微重力环境下低速空间旋转机构动态服役行为表征与评估，主研
代表性学术成果：
[1] Zhong J, Zhang H*, Liu Q, et al. Prognosis for Filament Degradation of X-Ray Tubes Based on IoMT Time Series Data. IEEE Internet of Things Journal, 2025.
[2] Zhong J, Zhang H*, Miao Q. A Novel Altitude Measurement Channel Reconstruction Method Based on Symbolic Regression and Information Fusion. IEEE Transactions on Instrumentation and Measurement, 2025.
[3] Lyu G, Zhang H*, Miao Q. An adaptive and interpretable SOH estimation method for lithium-ion batteries based-on relaxation voltage cross-scale features and multi-LSTM-RFR2. Energy, 2024, 304: 132167.
[4] Lyu G, Zhang H*, Miao Q. Parallel State Fusion LSTM-based Early-cycle Stage Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework. Reliability Engineering & System Safety, 2023, 236: 109315.
[5] Lyu G, Zhang H*, Miao Q. RUL Prediction of Lithium-Ion Battery in Early-Cycle Stage Based on Similar Sample Fusion Under Lebesgue Sampling Framework. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-11.
[6] Miao J, Deng C, Zhang H*, et al. Interactive channel attention for rotating component fault detection with strong noise and limited data. Applied Soft Computing, 2023, 138: 110171.
[7] Lyu G, Zhang H*, Zhang Y J, et al. An interpretable remaining useful life prediction scheme of lithium-ion battery considering capacity regeneration. Microelectronics Reliability, 2022: 114625.
[8] Wang J, Zeng Z, Zhang H*, et al. An Hybrid Domain Adaptation Diagnostic Network Guided by Curriculum Pseudo Labels for Electro-mechanical Actuator. Reliability Engineering & System Safety, 2022: 108770.
[9] Yan X, Zhang H*, Luo C, et al. Degree of Cyclic Target Protrusion Defined on Squared Envelope Spectrum for Rotating Machinery Fault Diagnosis. Measurement, 2021: 110634.
[10] Zhang H, G.X. Niu, B. Zhang, and Q. Miao, Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis,IEEE Transactions on Industrial Electronics, 2022, Vol.69, No.2, pp.1958-1967.
[11] Zhang H, E. Liu, B. Zhang, and Q. Miao, RUL prediction and uncertainty management for multisensor system using an integrated data-level fusion and UPF approach, IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 4692 - 4701, 2021.
[12] Zhang H, Z. Mo, J. Wang, and Q. Miao, Nonlinear-drifted fractional Brownian motion with multiple hidden state variables for remaining useful life prediction of lithium-ion batteries,IEEE Transactions on Reliability, vol. 69, no. 2, pp. 768–780, 2019.
[13] Zhang H, Miao Q, Zhang X, and Liu ZW, An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction, Microelectronics Reliability, 2018, 81: 288-298.
[14] 苗强, 蒋京, 张恒, 罗冲. 工业大数据背景下的航空智能发动机：机遇与挑战, 仪器仪表学报, 2019, Vol.40, No.7, pp. 1-12.
人才培养：
本科生必修课程：《运筹学》；研究生选修课程：《检测技术与自动化》、《可靠性系统工程》
学术兼职：
亚太人工智能协会PHM分会副秘书长，航空学会PHM分会青年委员，IEEE会员，担任IEEE Transactions on Power Systems，IEEE Transactions on Industrial Informatics，IEEE Transactions on Industrial Electronics，IEEE Transactions on Instrumentation and Measurement等多个期刊审稿人。
