李栋 教授 / 硕士生导师 石油与天然气工程（学硕）、资源与环境（专硕） 个人简介 李栋，常州大学教授，硕导，江苏省“青蓝工程”优秀青年骨干教师培养对象，中国振动工程学会故障诊断专业委员会理事，香港科技大学访问学者。发表学术论文50余篇，其中被SCI\EI收录30余篇，授权国家发明专利6件。主要研究成果发表在《机械工程学报》、《Knowledge-based Systems》、《Applied Soft Computing》、《Engineering Applications of Artificial Intelligence》、《Expert Systems with Applications》、《Pattern Recognition》和《Neurocomputing》等国内外著名期刊。主持和参与纵向课题6项，横向课题10项。
主要研究方向 复杂流体流动理论与应用
机械设备智能故障诊断方法
油气田开发人工智能
教授课程 本科生课程《石油工程流体力学》 《人工智能技术及智慧油田》 《水射流理论与应用》 《石油钻采机械概论》等
研究生课程学术成果 Study on the influence of coalescing plate escape hole structure on oil droplet escape performance, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2025, 第三&通讯, SCI
Study on the influencing factors of oil droplets accumulation on the lower surface of corrugated plate, CLEAN - Soil Air Water, 2024, 第二&通讯, SCI
A random feature mapping method based on the Adaboost algorithm and results fusion for enhancing classification performance, Expert Systems with Applications, 2024, 第二&通讯, SCI
A negative selection algorithm with hypercube interface detectors for anomaly detection, Applied Soft Computing, 2024, 第二&通讯, SCI
A feature selection method based on multiple feature subsets extraction and result fusion for improving classification performance, Applied Soft Computing, 2024, 第二&通讯, SCI
Continual learning classification method with human-in-the-loop based on the artificial immune system, Engineering Applications of Artificial Intelligence, 2023, 第二&通讯, SCI
A novel negative selection algorithm with hyper-rectangle detectors based on full coverage of state space for anomaly detection, Journal of Intelligent & Fuzzy Systems, 2023, 第二&通讯, SCI
Continual learning classification method with weighted k-nearest neighbor rule for time varying data space based on the artificial immune system, Knowledge-based Systems, 2022, 第一, SCI
Continual learning classification method and its application to equipment fault diagnosis, Applied Intelligence, 2022, 第一, SCI
Continual learning classification method with single-label memory cells based on artificial immune system, Journal of Intelligent & Fuzzy Systems, 2022, 第一, SCI
Continual learning classification method for time-varying data based on artificial immune system, Journal of Intelligent & Fuzzy Systems, 2021, 第一, SCI
An improved real-valued negative selection algorithm based on constant detector for anomaly detection, Journal of Intelligent & Fuzzy Systems, 2021, 第一, SCI
Continual learning classification method with constant-sized memory cells based on artificial immune system, Knowledge-based Systems, 2021, 第一, SCI
针对不连续时变样本空间的连续学习故障诊断方法, 机械工程学报, 2021, 第一, EI
Continual learning classification method with new labeled data based on artificial immune system, Applied Soft Computing, 2020, 第一, SCI
基于变径边界样本界面检测器的设备异常度检测方法, 机械工程学报, 2020, 第一, EI
A method of anomaly detection and fault diagnosis with online adaptive learning under small training samples, Pattern Recognition, 2017, 第一, SCI
A boundary-fixed negative selection algorithm with online adaptive learning under small samples for anomaly detection, Engineering Applications of Artificial Intelligence, 2016, 第一, SCI
Negative selection algorithm with constant detectors for anomaly detection, Applied Soft Computing, 2015, 第一, SCI
A negative selection algorithm with online adaptive learning under small samples for anomaly detection, Neurocomputing, 2015, 第一, SCI
基于约简边界样本界面检测器的设备异常度检测方法, 机械工程学报, 2015, 第一, EI
基于自适应超环检测器的设备异常度检测方法, 机械工程学报, 2014, 第一, EI
荣誉奖项 中国产学研合作创新成果奖一等奖，2/10，2023
中国商业联合会科学技术奖二等奖，3/15，2023
常州市第十七次自然科学优秀科技论文三等奖，2023
中国产学研合作创新成果奖二等奖，9/10，2022
常州市第十五次自然科学优秀科技论文二等奖，2019
常州大学优秀教育工作者，2018
常州市第十四次自然科学优秀科技论文三等奖，2017
第三届常州大学“常宝”优秀教师银奖，2017
常州大学优秀教师，2016
中国石油和化学工业联合会科技进步三等奖，4/5，2011
常州大学高等教育教学成果二等奖，2/5，2010
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