Education Background
  • 2013-09-2017-06
    山东大学
    检测技术与自动化装置
  • 2006-09-2009-06
    山东大学
    仪器仪表类其他专业
  • 2002-09-2006-07
    山东大学
    测控技术与仪器
Work Experience
  • 2009-07 — Now
    山东大学
  • 2025-03 — Now
    山东省工业技术研究院
Publication
Research direction

1. 智能感知与精密仪器

2. 光电传感与数字孪生

3. 深度学习与故障诊断

Papers

(1)Fuzheng Liu. Filter-Match-Interact Transfer Framework for Machineries Open-Set Fault Diagnosis .IEEE Transactions on Industrial Informatics【中科院1区TOP, IF=11.7】 .2025 ,21 (3):2758-2766

(2)Fuzheng Liu. Balance-blended adversarial distribution and smooth-suppressed labels refinement network for partial transfer fault diagnosis .Engineering Applications of Artificial Intelligence .2024 ,135

(3)Fuzheng Liu. Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis .ADVANCED ENGINEERING INFORMATICS .2023 (58):102217

(4)Jinxi Wang. Maximum average impulse energy ratio deconvolution and its application for periodic fault impulses enhancement of rolling bearing .Advanced Engineering Informatics .2022 (53):101721

(5)Tongzhuo Han. Novel adaptive loss weighted transfer network for partial domain fault diagnosis .ISA Transactions .2024 (145):362

(6)Xiaolin Liu. Novel source domain filtering dual classifier network with adaptive pseudo label refinement for partial domain fault diagnosis .Neurocomputing【中科院2区, IF=5.5】 .2025 ,620 :129260

(7)Xiaolin Liu. Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis .Measurement【中科院2区, IF=5.2】 .2025 ,249 :116989

(8)Yanjun Li. Bearing fault diagnosis method based on maximum noise ratio kurtosis product deconvolution with noise conditions .Measurement .2023 (221):113542

(9)Chenglong Ye. Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network .Measurement .2023 ,222

(10)Fuzheng Liu. Fault diagnosis of rolling bearing combining improved AWSGMD-CP and ACO-ELM model .Measurement .2023 (209):112531

Patents

1. （2025）发明人：张法业, 韩同卓, 王金喜, 姜明顺, 张雷, 隋青美, 贾磊；发明名称：域不对称情况下的滚动轴承迁移故障诊断方法及系统；专利号：ZL 2022 1 1398013.X.

2. 基于DBN和多层模糊LSTM的电动舵机剩余寿命预测方法及系统

3. 一种基于双向GRU的滚动轴承剩余寿命预测方法及系统

4. 基于离散余弦循环谱相干的滚动轴承故障诊断方法及系统

5. 一种滚动轴承故障诊断方法及系统

6. 一种齿轮箱故障诊断方法及系统

7. 基于增强梅尔线性频率倒谱系数的滚动轴承故障诊断方法

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