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Chao Jin
Chao Jin
CyberInsight
Dirección de correo verificada de cyber-insight.com - Página principal
Título
Citado por
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Año
Introduction to cyber manufacturing
J Lee, B Bagheri, C Jin
Manufacturing Letters 8, 11-15, 2016
2452016
Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves
X Jia, C Jin, M Buzza, W Wang, J Lee
Renewable Energy 99, 1191–1201, 2016
1302016
Cyber physical systems for predictive production systems
J Lee, C Jin, B Bagheri
Production Engineering, 1-11, 2017
1172017
Introduction to data-driven methodologies for prognostics and health management
J Lee, C Jin, Z Liu, H Davari Ardakani
Probabilistic prognostics and health management of energy systems, 9-32, 2017
662017
Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement
X Jia, M Zhao, Y Di, C Jin, J Lee
Journal of Sound and Vibration 386, 433-448, 2017
622017
A deviation based assessment methodology for multiple machine health patterns classification and fault detection
X Jia, C Jin, M Buzza, Y Di, D Siegel, J Lee
Mechanical Systems and Signal Processing 99, 244–261, 2018
542018
Review of data-driven prognostics and health management techniques: lessions learned from PHM data challenge competitions
B Huang, Y Di, C Jin, J Lee
Machine Failure Prevention Technology 2017, 1-17, 2017
362017
A comprehensive framework of factory-to-factory dynamic fleet-level prognostics and operation management for geographically distributed assets
C Jin, D Djurdjanovic, HD Ardakani, K Wang, M Buzza, B Begheri, ...
2015 ieee international conference on automation science and engineering …, 2015
342015
Industrial AI enabled prognostics for high-speed railway systems
Z Liu, C Jin, W Jin, J Lee, Z Zhang, C Peng, G Xu
2018 IEEE international conference on prognostics and health management …, 2018
332018
Fault prediction of power electronics modules and systems under complex working conditions
Y Di, C Jin, B Bagheri, Z Shi, HD Ardakani, Z Tang, J Lee
Computers in Industry 97, 1-9, 2018
302018
Predictive big data analytics and cyber physical systems for TES systems
J Lee, C Jin, Z Liu
Advances in Through-life Engineering Services, 97-112, 2017
292017
CPS-enabled worry-free industrial applications
W Jin, Z Liu, Z Shi, C Jin, J Lee
2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-7, 2017
272017
A vibration-based approach for diesel engine fault diagnosis
C Jin, W Zhao, Z Liu, J Lee, X He
2014 International Conference on Prognostics and Health Management, 1-9, 2014
142014
A sequential process monitoring approach using hidden Markov model for unobservable process drift
C Jin
University of Cincinnati, 2015
132015
Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors
C Jin, AP Ompusunggu, Z Liu, HD Ardakani, F Petré, J Lee
INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT 6, 2015
132015
A Vibration-Based Approach for Stator Winding Fault Diagnosis of Induction Motors: Application of Envelope Analysis
C Jin, AP Ompusunggu, Z Liu, HD Ardakani, F Petré, J Lee
Annual Conference of the Prognostics and Health Management Society 2014 5, 2014
82014
Winding fault diagnosis of a 3-phase induction motor powered by frequency-inverter drive using the current and voltage signals
AP Ompusunggu, Z Liu, HD Ardakani, C Jin, F Petré, J Lee
Proceedings of the 14th Mechatronics Forum International Conference, 16-18, 2014
42014
IAI DevOps: A Systematic Framework for Prognostic Model Lifecycle Management
Z Guo, T Bao, W Wu, C Jin, J Lee
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-6, 2019
22019
Methodology on Exact Extraction of Time Series Features for Robust Prognostics and Health Monitoring
C Jin
University of Cincinnati, 2017
12017
Dynamic Condition based Feature Extraction Strategy for Machine Health Monitoring Applications
HA Kao, C Jin, L Zongchang, S Yang, Z Shi
Machinery Failure Prevention Technology (MFPT) 2014, 2014
2014
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Artículos 1–20