GUO Liang

Associate Professor

Email: guoliang@swjtu.edu.cn

BIO

Education

PhD, Southwest Jiaotong University, Mechatronic Engineering (2016)

B.S., Southwest Jiaotong University, Technique and Instrumentation of Measurements (2011)

Employment

Academic Appointments

Associate Professor, Department of Mechatronic Engineering, Southwest Jiaotong University, China (2020-present)

Assistant Professor, Department of Mechatronic Engineering, Southwest Jiaotong University, China (2018-2020)

Postdoctoral Fellow, Department of Mechatronic Engineering, Xi'an Jiaotong University, China (2016-2018)

Research Interests

Prognostics and health management

Industrial big data

SELECTED PUBLICATIONS

Principal Publications of the Last Five Years

Yuekai Liu, Liang Guo*, Hongli Gao, Zhichao You, Yunguang Ye, Bin Zhang. Machine Vision based Condition Monitoring and Fault Diagnosis of Machine Tools using Information from Machined Surface Texture: A Review. Mechanical Systems and Signal Processing. In press.

Zhiqiang Chen, Liang Guo*, Hongli Gao, Yaoxiang Yu, Wenxin Wu, Zhichao You, Xun Dong. A fault pulse extraction and feature enhancement method for bearing fault diagnosis. Measurement. In press.

Yongwen Tan, Liang Guo*, Hongli Gao, Li Zhang. Deep Coupled Joint Distribution Adaptation Network: A Method for Intelligent Fault Diagnosis between Artificial and Real Damages. IEEE Transactions on Instrumentation and Measurement. DOI 10.1109/ TIM. 2021. 3043510.

Li Zhang, Liang Guo*, Hongli Gao, Dawei Dong, Guoqiang Fu, Xin Hong. Instance-based ensemble deep transfer learning network: a new intelligent degradation recognition method and its application on ball screw. Mechanical Systems and Signal Processing. 2020,140: 106681.

Andongzhe Duan, Liang Guo*, Hongli Gao, Xiangdong Wu, Xun Dong. Deep focus parallel convolutional neural network for imbalanced classification of machinery fault diagnostics. IEEE Transactions on Instrumentation and Measurement. 2020, 69(11): 8680-8689.

Jiangquan Zhang, Yi Sun, Liang Guo*, Hongli Gao, Xin Hong, Hongliang Song. A new bearing fault diagnosis method based on modified convolutional neural networks. Chinese Journal of Aeronautics, 2020, 32(2): 439-447.

Yuekai Liu, Hongli Gao, Liang Guo*, Aoping Qin, Canyu Cai, Zhichao You. A Data-flow Oriented Deep Ensemble Learning Method for Real Time Surface Defect Inspection. IEEE Transactions on Instrumentation and Measurement. 2019, 69(7): 4681-4691.

Liang Guo, Yaguo Lei*, Saibo Xin, Tao Yan, Naipeng Li. Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines with Unlabeled Data. IEEE Transactions on Industrial Electronics. 2019, 66(9): 7316-7325.

Liang Guo, Yaguo Lei*, Naipeng Li, Tao Yan, Ningbo Li. Machinery health indicator construction based on convolutional neural networks considering trend burr. Neurocomputing. 2018, 292: 142-150.

Liang Guo, Naipeng Li, Feng Jia, Yaguo Lei*, Jing Lin. A recurrent neural network based health indicator for remaining useful life prediction of bearings. Neurocomputing. 2017, 240: 98-109.

Selected Awards and Honors

IES Outstanding Paper Award for IEEE Transactions on Industrial Electronics (2020)

Best Paper Award for PHM2018 (2018)

Professional Activities

Guest Editorial, Shock and Vibration (2021)

RESEARCH

Current Research

Research project title of the theory and application of data feature knowledge transfer for the life prediction of high-speed train axle box bearings

TEACHING

Primary Teaching areas

Fault diagnosis

Current Courses

Fault diagnosis of mechanical and electrical system

GRADUATE SUPERVISION

I am available for supervision. Over the past five years, I have supervised 3 master student.