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A Transfer Learning Framework with a One-Dimensional Deep Subdomain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions

Ruixin Zhang, Yu Gu
2022 Sensors  
To address this issue, we propose a one-dimensional lightweight deep subdomain adaptation network (1D-LDSAN) for faster and more accurate rolling bearing fault diagnosis.  ...  Although deep learning methods have achieved excellent results for rolling bearing fault diagnosis, the performance of most methods declines sharply when the working conditions change.  ...  In this paper, a novel one-dimensional lightweight deep subdomain adaptation network (1D-LDSAN) framework is proposed for bearing fault diagnosis under different working conditions.  ... 
doi:10.3390/s22041624 pmid:35214528 pmcid:PMC8876626 fatcat:3lbtui4ggrb33ihrx453mdp7vi

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery

Sixiang Jia, Jinrui Wang, Xiao Zhang, Baokun Han
2021 Entropy  
Domain adaptation-based models for fault classification under variable working conditions have become a research focus in recent years.  ...  To address the above deficiencies, we propose a partial transfer fault diagnosis model based on a weighted subdomain adaptation network (WSAN) in this paper.  ...  In this case, the fault diagnosis methods under variable working conditions based on transfer learning come into being.  ... 
doi:10.3390/e23040424 pmid:33916268 pmcid:PMC8065703 fatcat:z4gmxielpvcdxj3bo32eugkqhe

A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults

Zhenhao Yan, Guifang Liu, Jinrui Wang, Huaiqian Bao, Zongzhen Zhang, Xiao Zhang, Baokun Han
2021 Entropy  
The proposed framework takes into account the discrepancy of the fault features shown by different fault types and forms the feature center for fault diagnosis by extracting the features of samples of  ...  The domain adaptation problem in transfer learning has received extensive attention in recent years.  ...  Conclusions This paper presents a new UDA method for bearing fault diagnosis under different working conditions, which breaks the assumption that the traditional domain adaptive network shares the label  ... 
doi:10.3390/e23081052 fatcat:7bizegvu6fgunmp6eghagxxlwa

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 3517215 A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System; TIE March 2020 2076-2085 Jiang, J., Mohagheghi, A., and Moallem, M., Energy-Efficient Supplemental LED Lighting Control  ...  Optimized Sparse Partial Least Squares; TIE May 2020 4098-4107 Jiang, S., Li, L., Xu, H., Xu, J., Gu, G., and Shull, P.B., Stretchable e-Skin Patch for Gesture Recognition on the Back of the Hand; TIE  ...  ., +, TIE Jan. 2020 379-389 Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

Industrial Artificial Intelligence Technologies and Applications [chapter]

Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
2022 Industrial Artificial Intelligence Technologies and Applications  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  Acknownledgements This work is conducted under the framework of the ECSEL AI4DI "Artificial Intelligence for Digitising Industry" project.  ... 
doi:10.13052/rp-9788770227902 fatcat:av7jjd4htbc7rez23jijfcayy4

Integrating Artificial Intelligence Internet of Things and 5G for Next-Generation Smartgrid: A Survey of Trends Challenges and Prospect

E. Esenogho, K. Djouani, A. Kurien
2022 IEEE Access  
A corresponding future work will dwell on the implementation of the discussed integration of AI, IoT and 5G for next-generation smart grid, using Matlab, NS2/NS3, Open-daylight and Mininet as soft tools  ...  With the future Massive Internet of Things (MIoT) as one of the pillars of 5G/6G network factory, it is the enabler to support the next generation smart grid by providing the needed platform that integrates  ...  Deep/Transfer learning method. FIGURE 29 . 29 FIGURE 29. Network architecture for the next generation smart grid.  ... 
doi:10.1109/access.2022.3140595 fatcat:4bppqhqe7new7eksvwuod7bgvq

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges [article]

Shen Wang, M.Atif Qureshi, Luis Miralles-Pechuaán, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage
2021 arXiv   pre-print
Such a 6G network will lead to an excessive number of automated decisions made every second.  ...  Moreover, we summarised the lessons learned from the recent attempts and outlined important research challenges in applying XAI for building 6G systems.  ...  Choo, “Fault-tolerant multisubset artificial intelligence (xai) approach: Application on bearing faults aggregation scheme for smart grid,” IEEE Transactions on Industrial diagnosis  ... 
arXiv:2112.04698v1 fatcat:y7ss4opmrjbsbjm3ip2vgkkgky

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Mikko Tahkola, Janne Keranen, Denis Sedov, Mehrnaz Farzam Far, Juha Kortelainen
2020 IEEE Access  
Machine learning and artificial neural networks have shown to be applicable in modeling and simulation of complex physical phenomena as well as creating surrogate models trained with physics-based simulation  ...  We present comprehensively a workflow for developing data-driven surrogate models including data generation with physics-based simulation and design of experiments, preprocessing of training data, and  ...  Jussi Kiljander, and Milla Vehviläinen (VTT Technical Research Centre of Finland) for their valuable comments that greatly improved the manuscript.  ... 
doi:10.1109/access.2020.3042834 fatcat:v5crnwvaina5hpbzfzmx3futb4

Big Data in the construction industry: A review of present status, opportunities, and future trends

Muhammad Bilal, Lukumon O. Oyedele, Junaid Qadir, Kamran Munir, Saheed O. Ajayi, Olugbenga O. Akinade, Hakeem A. Owolabi, Hafiz A. Alaka, Maruf Pasha
2016 Advanced Engineering Informatics  
To this end, opportunities in the various sub-domains of construction industry are presented along with the future works and potential pitfalls of Big Data in this industry.  ...  Oyedele Abstract-The ability to process large amounts of data and 1 to extract useful insights from data has revolutionised society. 2 This phenomenon-dubbed as Big Data-has applications for a 3 wide assortment  ...  Similarly, SVM is 101 used in fault detection system for HVAC under real working 102 conditions [71] . The SVM classifiers for fault detection and 103 isolation (FDI) are developed.  ... 
doi:10.1016/j.aei.2016.07.001 fatcat:pcvyy46qrzggfnsieaskihnb3q

Safety of buried steel natural gas pipelines under earthquake-induced ground shaking: A review

Nikolaos K. Psyrras, Anastasios G. Sextos
2018 Soil Dynamics and Earthquake Engineering  
Nevertheless, there is ground for improvement by adapting existing knowledge from research on other types of lifeline networks, such as transportation networks.  ...  Pipeline network resilience is still in a developing stage, thus only few assessment methodologies are available whereas absent is a holistic approach to support informed decision-making towards the necessary  ...  Acknowledgements This work was supported by the Horizon 2020 Programme of the European Commission under the MSCA-RISE-2015-691213-EXCHANGE-Risk grant (Experimental & Computational Hybrid Assessment of  ... 
doi:10.1016/j.soildyn.2017.12.020 fatcat:j5fwegahrncplnyjhgaoq7jtbi

Policy Networks: Empirical Evidence and Theoretical Considerations

Miguel Guilarte, Bernd Marin, Renate Mayntz
1994 Contemporary Sociology  
., 1988 : Trend Report Social Network Analysis. ln: Sociology I, r09-t27.'  ...  Four structures provide a framework for networking with the sound finance community.  ...  To the first belong working conditions, social policies, disadvantaged populations, discrimination in employment, and labor market policies, and with a small difference, employment conditions.  ... 
doi:10.2307/2075363 fatcat:hyej4stnjnhj5fiwkk3xhrzlji

Self-Organized Evolutionary Process in Sets of Interdependent Variables near the Midpoint of Phase Transition in K-Satisfiability [chapter]

Michael Korkin
2001 Lecture Notes in Computer Science  
Ackerman, John T Strategic Studies Quarterly: An Air Force-Sponsored Strategic Forum for Military, Government, and Academic Professionals. Volume 2, Number 1 -7 Acuff, Hugh F  ...  Similarities and differences of our framework with proof-carrying-code frameworks are also discussed. [4, 7] .  ...  The recess has a side with multiple slopes for interacting with the angled surface, each slope exerting a different spring force on the first transmission element.  ... 
doi:10.1007/3-540-45443-8_20 fatcat:ght26tu6avh57kkp54kifofaee

Three-dimensional point-cloud room model in room acoustics simulations

Milos Markovic, So/ren K. Olesen, Dorte Hammersho/i
2013 Journal of the Acoustical Society of America  
One such method is adaptive rectangular decomposition (ARD), which combines analytical solutions to the wave equation in rectangular subdomains with a finite difference stencil for interface handling between  ...  The importance of using three-dimensional versus two-dimensional models for acoustic propagation under rough sea surfaces is investigated. [Work supported by ONR.  ...  time-domain framework for room-acoustics simulations. 2:40 4pSP6.  ... 
doi:10.1121/1.4806371 fatcat:ln4w6j7cjvchrckf2gzfmeiwoi

D7.2.1 A Report on the Survey of HPC Tools and Techniques

Michael Lysaght, Bjorn Lindi, Vit Vondrak, John Donners, Marc Tajchman
2013 Zenodo  
he objective of PRACE-3IP Work Package 7 (WP7) 'Application Enabling and Support' is to provide applications enabling support for HPC applications codes which are important for European researchers to  ...  This deliverable contains a comprehensive survey of the research activity undertaken within PRACE to date so as to better understand what HPC tools and techniques have been developed that could be successfully  ...  It supports debugging of memory errors, leaks and diagnosis of programs like deadlocks and race conditions.  ... 
doi:10.5281/zenodo.6575492 fatcat:grwigpxd7naifbzo6w67w4glrm
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