Jing Lin - Concepedia

Author

Jing Lin

Xi'an Jiaotong University ORCID

Also Known As

J Lin, J. L. Lin, J. LIN, J.L. Lin, Jing LIN, Jing Lin, Jing Long Lin, Junjie Lin∗, LIN Jing, Lin Jing

372

Publications

25.6K

Citations

H-Index

234

Concepts

All Affiliations

Xi'an Jiaotong University Beihang University Ningbo University of Technology

About

Jing Lin is an author at Xi'an Jiaotong University specializing in engineering, fault diagnosis, and structural health monitoring.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	64	197	18.9K
2	Health Sciences	7	7	583
3	Education	5	5	314
4	Business	4	4	971
5	Management	2	2	674

Jing Lin

223

Publications

19.7K

Citations

H-Index

Page 1

	Year	Citations
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data Feng Jia, Yaguo Lei, Jing Lin, Mechanical Systems and Signal Processing Fault DiagnosisDeep Neural NetworksEngineeringMachine LearningData Science	2015	1.6K
A recurrent neural network based health indicator for remaining useful life prediction of bearings Liang Guo, Naipeng Li, Feng Jia, Neurocomputing Recurrent Neural NetworkEngineeringMachine LearningService Life PredictionLife Prediction	2017	1.2K
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data Yaguo Lei, Feng Jia, Jing Lin, IEEE Transactions on Industrial Electronics Fault DiagnosisEngineeringMachine LearningIntelligent DiagnosticsDiagnosis	2016	1.2K
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings Naipeng Li, Yaguo Lei, Jing Lin, IEEE Transactions on Industrial Electronics EngineeringLife PredictionMechanical EngineeringStochastic AnalysisDeterioration Modeling	2015	640
Broadband tristable energy harvester: Modeling and experiment verification Shengxi Zhou, Junyi Cao, Daniel J. Inman, Applied Energy Electrical EngineeringEnergy HarvestingEngineeringEnergy EfficiencyEnergy Conversion	2014	601
A Model-Based Method for Remaining Useful Life Prediction of Machinery Yaguo Lei, Naipeng Li, Szymon Gontarz, IEEE Transactions on Reliability EngineeringMachine LearningIndustrial EngineeringLife PredictionDiagnosis	2016	595
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines Feng Jia, Yaguo Lei, Liang Guo, Neurocomputing Fault DiagnosisDeep Neural NetworksEngineeringMachine LearningIntelligent Diagnostics	2017	509
Application of an improved kurtogram method for fault diagnosis of rolling element bearings Yaguo Lei, Jing Lin, Zhengjia He, Mechanical Systems and Signal Processing Fault DiagnosisCondition MonitoringImproved Kurtogram MethodEngineeringDiagnosis	2011	472
Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis Yonghao Miao, Boyao Zhang, Chenhui Li, IEEE Transactions on Industrial Electronics Fault DiagnosisCondition MonitoringEngineeringMachinery Fault DiagnosisData Science	2022	391
Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings Yonghao Miao, Ming Zhao, Jing Lin, Mechanical Systems and Signal Processing Fault DiagnosisCondition MonitoringEngineeringImproved MaximumKurtosis Deconvolution Method	2017	372

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