个人信息

姓名：朱小龙

职称：助教

专业：自动化

邮箱：zhuxl@tju.edu.cn

电话：

工作经历

[1] 2025.3至 今: 天津仁爱学院, 信息与智能工程学院, 自动化专业, 助教

讲授课程

[1] 自动检测技术

[2] 自动控制理论

研究方向

[1] 先进信号处理技术.

[2] 特征参量提取技术.

[3] 基于机器学习/深度学习的模式识别技术.

[4] 系统开发与应用.

科研项目

[1] 2025.04-至今:横向委托开发，基于数据融合的3D打印鞍座疲劳寿命预测与可靠性分析技术开发，项目负责人.

[2] 2025.04-至今:横向委托开发项目，激光加工平台控制系统的研发，项目负责人.

[3] 2021.12-2024.10:天津市研究生科研创新项目, 基于声振信息融合的柴油机燃油系统和配气系统故障诊断技术研究，项目负责人.

学术论文

[1] Pei G, Zhu X, Wang X, et al. A turn-based domain adversarial network for cross-domain fault diagnosis of diesel engine[J]. Journal of Mechanical Science and Technology, 2025(39):3079-3090.

[2] Deng L, Zhu X, Cai K, et al. Deep hierarchical classification network for end-to-end anomaly detection, fault classification, and severity assessment in diesel engine[J]. Measurement Science and Technology, 2025(36):66136.

[3] Zhu X, Zhang J, Wang X, et al. A multi-modal joint attention network for vibro- acoustic fusion diagnosis of engines[J]. Measurement science and technology, 2024,35:96014.

[4] 宋业栋, 马光伟, 朱小龙, 等. 基于强化层次模糊熵的柴油机故障诊断方法[J]. 振动、测试与诊断, 2024,44(4):814-820.

[5] Lin J, Gou X, Zhu X, et al. A Multidepth Step-Training Convolutional Neural Network for Power Machinery Fault Diagnosis Under Variable Loads[J]. IEEE Transactions on Instrumentation and Measurement, 2024,73:1-14.

[6] Zhu X, Zhang J, Wang X, et al. Improved deep residual shrinkage network for a multi-cylinder heavy-duty engine fault detection with single channel surface vibration[J]. Energy and AI, 2024,16:100356.

[7] Xin G, Xiaolong Z, Xinwei W, et al. A self-growth convolution network for thermal and mechanical fault detection with very limited engine data[J]. Energy and AI, 2024,18:100449.

[8] Zhang J, Zhu X, Li W, et al. Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine[J]. Journal of Low Frequency Noise, Vibration and Active Control, 2023,42(1):420-437.