研究领域

Fault Detection, Diagnosis, and Prognosis for HVAC systems

EEG

Machine learning and Pattern Recognition

Big Data Analysis

Deep Learning

Optimization

Production Planning, Scheduling, and Control

论文与著作

Peer-reviewed journal articles

1.     Y. Yan, J. Cai, Y.Tang and L. Chen, “Fault Diagnosis of HVAC AHUs based on a BP-MTN Classifier,” Building and Environment, https://doi.org/10.1016/j.buildenv.2022.109779,2022, 109779 (IF = 7.093, 一区top). 

2.      Y. Yan, J. Cai, Y. Tang and Y. Yu, “ADecentralized Boltzmann-machine-based Fault Diagnosis Method for Sensors of AirHandling Units in HVACs,” Journal of Building Engineering, https://doi.org/10.1016/j.jobe.2022.104130, Vol.50, 104130 (IF = 7.144, 二区). 

3.     Y. Yan, J. Cai, T. Li,W. Zhang, L. Sun, “Fault Prognosis of HVAC Air Handling Unit and Its ComponentsUsing Hidden-semi Markov Model and Statistical Process Control,” Energy and Buildings, https://doi.org/10.1016/j.enbuild.2021.110875, 2021 (IF = 7.201,一区). 

4.     Y. Yan, P. B. Luh andK. R. Pattipati, “Fault Prognosis of Key Components in HVAC Air-HandlingSystems at Component and System Levels,” IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 4, 2020,pp. 2145-2153 (IF = 4.938, 二区). 

5.     Y. Yan, P. B. Luh andK. R. Pattipati, “Fault diagnosis of HVAC air handling systems considering fault propagation impacts among components,” IEEE Transactions on Automation Science and Engineering, Vol.14, No. 2, 2017, pp. 705-717 (IF = 4.938, 二区). 

6.     Y. Yan, and Z. Wang,“A two-layer dynamic scheduling method for minimizing the earliness and tardiness of a reentrant production line,” International Journal of Production Research, Vol. 50, No. 2, pp. 499-515, 2012, (IF = 4.577, 二区). 

7.     Y. Yan, P. B. Luh and K.R. Pattipati, “Fault Diagnosis of Components and Sensors in HVAC Air HandlingSystems with New Types of Faults,” IEEE Access, Vol. 6, 2018, pp.21682–21696 (IF = 6.318, 二区). 

8.     J. Cai, X. Zhang, X. Peng, Y. Yan, Z. Q. Deng, “A Hybrid Sensorless Starting Strategy for SRM with Fault-tolerantCapability,” DOI: 10.1109/TTE.2022.3212442, IEEE Transactions on Transportation Electrification, Vol. 99,2022, pp.21682–21696 (IF = 6.519, 一区). 

9.     J. Cai, Y. Yan,W. Zhang, and X. Zhao, “AReliable Sensorless Starting Scheme for SRM With Lowered Pulse InjectionCurrent Influences,” IEEE Transactions on Instrumentation and Measurement, Vol. 70, 2020, pp.1-9. (IF = 5.332, 一区). 

10.  B. Wang, Z. L. Cao, Y. Yan, W. P. Liu and Z. Wang, “Fundamental technology for RFID-based supervisory control of shop floor production system,” International Journal Advance Manufacturing Technology, Vol. 57, pp. 1123-1141, 2011. (IF = 3.536, 三区). 

11.  严颖；蔡骏；张菀；孙亮亮，基于动态HMM和离散SPC的空调机组的故障诊断，控制工程，2020，DOI：10.14107/j.cnki.kzgc.20200349。

12.  严颖，汪峥，“单件生产实验系统控制和仿真的多线程实现”，计算机技术与发展, Vol. 20, No.2, pp. 197-201, 2009。

13.  严颖，汪峥，“基于RFID的单件生产实验系统的监控系统设计”，计算机技术与发展, Vol. 20, No. 3, pp. 234-238, 2010。

Peer-reviewed Conference Papers

1.     Y. Yan, P. B.Luh, B. Sun,  “Fault detection of cooling coils based on unscented Kalman filters and statistical process control,” in Proceedings of 2013 IEEE Conference on Automation Science andEngineering, Madison, Wisconsin, August 2013.

2.     Y. Yan, P. B. Luh, K.R. Pattipati, “Fault Diagnosis Framework for Air Handling Units based on the Integration of Dependency Matrices and PCA,” in Proceedings of 2014 IEEE Conference on Automation Science andEngineering, Taipei, Taiwan, August 2014.

3.     Y. Yan, P. B. Luh, andK. R. Pattipati, “A Fault Diagnosis Method for HVAC Air Handling UnitsConsidering Fault Propagation,” in Proceedings of the 2015 IEEE Conference on Automation Science and Engineering, Gothenburg, Sweden, August 2015, pp. 961-966. Finalist for the Best Student Paper. 

4.     Y. Yan, P. B. Luh, andK. R. Pattipati, “Chiller plant fault diagnosis considering fault propagation,”in Proceedings of the Complex Systems Engineering (ICCSE) 2015, Storrs, Connecticut, November 2015.

5.     Y. Yan, P. B. Luh, andK. R. Pattipati, “Fault Diagnosis of HVAC: Air Handling Units and Variables AirVolume Boxes,” in Proceedings of the 2016 IEEE Conference on Automation Science and Engineering, Fort Worth,Texas, USA, August 2016.

6.     Y. Yan, P. B. Luh andK. R. Pattipati, “Fault diagnosis of HVAC: Air delivery and terminal systems,” in Proceedings of the 2017 IEEEConference on Automation Science and Engineering, Xi’an, China, August 2017.

Patents

1.     严颖，蔡骏，张菀，李涛，一种基于隐马尔可夫模型和离散P控制图的冷却盘管故障诊断方法，CN113029533A，2021年6月。已授权。

2.     严颖，蔡骏，张菀，李涛，一种基于DHMM和CPDSPC的空调机组故障诊断方法，CN113188818A, 2021年7月。已授权。

3.     严颖，蔡骏，张菀，李涛，一种基于HSMM的空调机组设备的故障预测方法，CN113158546A，2021年7月。已公开。

4.     严颖，蔡骏，李海波，张菀，陈亮，一种基于玻尔兹曼机投票的空调机组传感器故障诊断方法，CN114004374A，2022年2月。已公开。

5.     严颖;蔡骏; 姚立; 陈亮;赵兴强; 李涛; 吴奇，一种适用于不同类型故障特征的基于新型投票策略的故障诊断方法，       CN115031357A，2022年5月。已公开。

6.     严颖;蔡骏; 李海波; 李涛;张菀，一种基于新型投票网络的空调机组传感器故障诊断方法，CN114484732A，2022年5月。已公开。

7.     严颖;蔡骏; 李海波; 张菀;陈亮，一种基于玻尔兹曼机投票的空调机组传感器故障诊断方法，CN114004374A，2022年2月。已公开。

8.     蔡骏，张仪，张菀，赵兴强，严颖，一种具有母线谐波吸收功能的动力电池集成充电功率变换器及控制方法，202011008649X，CN 112152490 B，2021.07.27。已授权。

9.     蔡骏，张菀，赵兴强，严颖，贾红云。一种高低压直流双输出集成型三相PWM整流变换器及控制方法，2020110086470，CN112152489 B，2021.8.3，已授权。

10.  杨丹丹; 陈亮; 蔡骏; 严颖;章小刚，一种区域综合能源系统的网源联合优化方法，CN115204494A，2022年10月。已公开。

11.  蔡骏; 蔡宇欣; 李滨; 严颖;陈亮，一种电动汽车V2G储能源充放电器电路及直接功率控制方法，CN115065080A，2022年9月。已公开。

12.  蔡骏; 汤云; 严颖; 陈亮，一种开关磁阻电机转矩的多维泰勒网估计器，CN115051613A，2022年9月。已公开。

13.  蔡骏; 李滨; 蔡宇欣; 严颖;陈亮，一种母线电压不控的电动汽车V2G双向直接功率控制方法，CN115021296A，2022年9月。已公开。

14.  蔡骏; 董逸茹; 束寅志; 严颖;赵兴强，一种三相开关磁阻电机集成型升压功率变换器及控制方法，CN112615539B，2021年11月。已公开。

荣誉与奖励

个人获奖：

1.  IEEE-CASE(2015)的论文获得最佳学生论文提名

指导学生获奖：

1.  2021年江苏省大学生机器人大赛空中巡逻救援冠军

2.  第十三届“挑战杯”中国大学生创业计划竞赛校赛二等奖

3.  2022届本科毕业生优秀毕业设计一等奖