Behrad Bagheri

University of Cincinnati — United States

Engineering · Physical Sciences

12h-index6.9kcitations18works0.02yr avg
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Research Topics

Digital Transformation in Industry(9), Flexible and Reconfigurable Manufacturing Systems(7), Fault Detection and Control Systems(6), Machine Fault Diagnosis Techniques(3), Manufacturing Process and Optimization(3)

Publications18 total

A unified digital twin framework for shop floor design in industry 4.0 manufacturing systems
Manufacturing Letters·2021· 52 cited
A unified data security framework for federated prognostics and health management in smart manufacturing
Manufacturing Letters·2020· 30 cited
Fault prediction of power electronics modules and systems under complex working conditions
Computers in Industry·2018· 29 cited
Cyber physical systems for predictive production systems
Production Engineering·2017· 96 cited
Introduction to cyber manufacturing
Manufacturing Letters·2016· 186 cited
A Stochastic Asset Life Prediction Method for Large Fleet Datasets in Big Data Environment
2015· 8 cited
A New Scheme for Monitoring and Diagnosis of Multistage Manufacturing Processes Using Product Quality Measurements
Annual Conference of the PHM Society·2015· 1 citedOpen Access
特集論壇 : Recent Advances in Smart Industrial Internet and Big Data Analytics with Industrial Applications (特集 OTとITの融合 : IoT時代のオペレーション革新)
経営システム·2015
A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems
Journal of Manufacturing Science and Engineering·2015· 48 cited
Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment
IFAC-PapersOnLine·2015· 351 citedOpen Access
Cyber-Physical Systems in Future Maintenance
Lecture notes in mechanical engineering·2015· 28 cited
Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation
Procedia CIRP·2015· 371 citedOpen Access
CONTENT BASED IMAGE RETRIEVAL BY THE FUSION OF SHORT TERM LEARNING METHODS
2015
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Manufacturing Letters·2014· 4.7k cited
Recent advances and trends in predictive manufacturing systems in big data environment
Manufacturing Letters·2013· 1.0k cited
A Systematic Approach to Intelligent Maintenance of Production Systems with a Framework for Embedded Implementation
IFAC Proceedings Volumes·2013· 6 cited
Application of data mining and feature extraction on intelligent fault diagnosis by Artificial Neural Network and k-nearest neighbor
2010· 39 cited
CONTENT ANALYSIS OF LATAYEF-AL-TAVAYEFFROM VIEW POINT OF ITS FICTION ELEMENTS
2006

Frequent Co-authors

Jay Lee(15), Hung-An Kao(4), Hossein Davari Ardakani(4), Shanhu Yang(3), Chao Jin(3), Edzel Lapira(2), Wenyu Zhao(2), Moslem Azamfar(1), Hojat Ahmadi(1), Reza Labbafi(1), Maryam Rezapoor(1), Di Yuan(1), Zhe Shi(1), Zhijun Tang(1), David Siegel(1), Renato VB Henriques(1), Carlos Eduardo Pereira(1), LB Piccoli(1), C.H.C. Guimarães(1), Brian Phillips(1)