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Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad A. Al Faruque
2021
Thus, we propose a method of performing online, real-time anomaly detection for predictive maintenance using Hierarchical Temporal Memory (HTM).  ...  Using the Numenta Anomaly Benchmark, we empirically demonstrate that our approach outperforms state-of-the-art algorithms at preemptively detecting real-world cases of bearing failures and simulated 3D  ...  Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding agencies.  ... 
doi:10.48550/arxiv.2102.11450 fatcat:q2dudxamcffc5a2bxfbus2gyam

Decision-Making Model of Product Modeling Big Data Design Scheme Based on Neural Network Optimized by Genetic Algorithm

Ming Hu, Syed Hassan Ahmed
2021 Computational Intelligence and Neuroscience  
The final decision model can improve the overall design efficiency, shorten the manufacturing period, and provide a new idea for product modeling design.  ...  The neural network optimized by genetic algorithm is studied, and the technical analysis of neural network algorithm before and after optimization is mainly carried out.  ...  is obtained according to the resource set, and the system reduces the prediction dimension immediately.  ... 
doi:10.1155/2021/9315700 fatcat:a4xzz3h6mfcsvnmllpmdgesjaq

Selection of the Best Electroencephalogram Channel to Predict the Depth of Anesthesia

Clement Dubost, Pierre Humbert, Arno Benizri, Jean-Pierre Tourtier, Nicolas Vayatis, Pierre-Paul Vidal
2019 Frontiers in Computational Neuroscience  
Precise cerebral dynamics of action of the anesthetics are a challenge for neuroscientists.  ...  The best algorithm turned out to be the Gaussian Naïve Bayes (GNB) requiring only 5 features (Area Under the ROC Curve - AUC- of 0.93 ± 0.04).  ...  fraction of sevoflurane, end-tidal sevoflurane, BIS (Quatro Sensor manufactured by Covidien), and inspired fraction of O 2 .  ... 
doi:10.3389/fncom.2019.00065 pmid:31632257 pmcid:PMC6779712 fatcat:ygycnzdgfvcb5kpui3tstyz7zq

The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing

Katrin Amunts, Markus Axer, Lise Bitsch, Jan Bjaalie, Andrea Brovelli, Svenja Caspers, Irene Costantini, Egidio D'Angelo, Giulia De Bonis, Javier DeFelipe, Alain Destexhe, Timo Dickscheid (+35 others)
2022 Zenodo  
theme of digital brain research will help drive progress in the broader field of neuroscience.  ...  whole system.  ...  We thank Peter Zekert and Lisa Vincenz-Donnelly for their assistance with the preparation of this manuscript.  ... 
doi:10.5281/zenodo.6345820 fatcat:4q2mkmh2xzeahp4bf6a66fzen4

Review of Pairing Exercises Involving a Real Event and its Virtual Model up to the Supervision of Complex Procedures

Adel Razek
2021 Journal of Human Earth and Future  
The paper first presents a framework for the observation-theory pair.  ...  the task of matching virtual estimates to their actual values in automated systems.  ...  In the framework of industrial procedures, predictive maintenance has turn into an important attention; the main purpose is to optimize the maintenance calendar by predicting the failures of systems and  ... 
doi:10.28991/hef-2021-02-04-010 fatcat:nkoosclzrbhh7lunn43j6clwba

AI Science and Engineering: A New Field

Longbing Cao
2022 IEEE Intelligent Systems  
Accordingly, a critical disciplinary agenda is to develop and enrich the body of knowledge for AI science.  ...  What makes AI a natural science rather than just transforming sciences and delivering techniques for building intelligent machines? What constitutes AI foundations beyond neuroscience?  ...  , programming, and systems) and shared services (including management and maintenance of resources, storage, models, systems, communications, and security) are commonly encouraged and available for enterprise  ... 
doi:10.1109/mis.2022.3151993 fatcat:sf2uay5oqnfi7ahsbyt5wppmey

Preface

Alexei V. Samsonovich, Valentin V. Klimov
2021 Procedia Computer Science  
New threats to the security of the CPS are: the destruction of management systems (the result is a loss of control over the CPS); substitution of the CPS functioning algorithm, impact on human behavior  ...  for the development of the digital economy in the sector of intelligent robotics and cyberphysical systems.  ... 
doi:10.1016/j.procs.2021.06.001 fatcat:hx3qohbbxnhojcbt7wb4i7xyee

Neuro-inspired Framework for Cognitive Manufacturing Control

Ioan Dumitrache, Simona Iuliana Caramihai, Dragos Constantin Popescu, Mihnea Alexandru Moisescu, Ioan Stefan Sacala
2021 International Journal of Computers Communications & Control  
Our approach addresses in a systemic manner the structural, functional, and behavioral aspects of the enterprise, seen as a complex dynamic system.  ...  For them, a series of paradigms have been developed, including intelligent manufacturing, smart manufacturing, cognitive manufacturing; which are based equally on information and knowledge management,  ...  Based on these models, authors have proposed an Intelligent Prediction and Optimization algorithm based on Neural Networks (NN) and thus, they propose a NN based adaptive controller for online prediction  ... 
doi:10.15837/ijccc.2021.6.4519 fatcat:p7t27xoqgfeifppcv26yvyui7m

New Multifeature Information Health Index (MIHI) Based on a Quasi-Orthogonal Sparse Algorithm for Bearing Degradation Monitoring

Xiao Zhang, Tengyi Peng, Shilong Sun, Yu Zhou, Henry Man Fai Leung
2021 Computational Intelligence and Neuroscience  
Then, choosing the appropriate maintenance strategy according to the future fault type can reduce the maintenance cost of the equipment operation.  ...  This paper reports a new quasi-orthogonal sparse project algorithm that can mutually convert the degraded processing feature vector sets (such as spectrum) for each type of fault to orthogonal approximate  ...  ALGORITHM 1: Algorithm 1. Computational Intelligence and Neuroscience illustrate the effect of hyperparameters β and c in Figure 8 .  ... 
doi:10.1155/2021/2221702 fatcat:iht7kwnuenaubktw6sva7nehbq

Emergent Criticality in Complex Turing B-Type Atomic Switch Networks

Adam Z. Stieg, Audrius V. Avizienis, Henry O. Sillin, Cristina Martin-Olmos, Masakazu Aono, James K. Gimzewski
2011 Advanced Materials  
and the manufacture of printed circuit boards (PCBs).  ...  We propose that such a system provides a robust, flexible, and scalable experimental platform for controlled examinations of criticality and its potential applicability in the fields of neuroscience and  ... 
doi:10.1002/adma.201103053 pmid:22329003 fatcat:a3mqd366mzberbtpjhda4yv7hi

Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies

Vinata Vedam-Mai, Karl Deisseroth, James Giordano, Gabriel Lazaro-Munoz, Winston Chiong, Nanthia Suthana, Jean-Philippe Langevin, Jay Gill, Wayne Goodman, Nicole R. Provenza, Casey H. Halpern, Rajat S. Shivacharan (+40 others)
2021 Frontiers in Human Neuroscience  
The meeting focused on advances in: (1) optogenetics as a tool for comprehending neurobiology of diseases and on optogenetically-inspired DBS, (2) cutting edge of emerging DBS technologies, (3) ethical  ...  issues affecting DBS research and access to care, (4) neuromodulatory approaches for depression, (5) advancing novel hardware, software and imaging methodologies, (6) use of neurophysiological signals  ...  to identify the network changes and use it for individual prediction using matching learning algorithms.  ... 
doi:10.3389/fnhum.2021.644593 pmid:33953663 pmcid:PMC8092047 fatcat:ixlexjcljjd7njuiuiphkjelz4

Big Data and the Internet of Things [article]

Mohak Shah
2015 arXiv   pre-print
Big data analytics has been identified as a key enabler for the IoT.  ...  In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so.  ...  For instance, Tado is providing an interfacing through a variety of heating systems from multiple manufacturers for a smart thermostat system.  ... 
arXiv:1503.07092v1 fatcat:oliz3p6e4je6dgjbuiszye7fpq

DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing using Thermal Images of the Melt Pool

Samson Ho, Wenlu Zhang, Wesley Young, Matthew Buchholz, Saleh Al Jufout, Khalil Dajani, Linkan Bian, Mohammad Mozumdar
2021 IEEE Access  
His research has been applied to areas including additive manufacturing, predictive maintenance, cybersecurity, and other engineering systems.  ...  In this paper, we propose novel end-to-end Deep Learning algorithms to automatically extract thermal features to predict porosity for Additive Manufacturing (DLAM) using thermal images of the melt pool  ... 
doi:10.1109/access.2021.3105362 fatcat:4pyfayvwivazpotna26w75ckvm

CNN-Based Fault Detection for Smart Manufacturing

Dhiraj Neupane, Yunsu Kim, Jongwon Seok, Jungpyo Hong
2021 Applied Sciences  
A smart factory is a highly digitized and networked production facility based on smart manufacturing. A smart manufacturing plant is the result of intelligent systems deployed in the factory.  ...  With the growing concept of smart manufacturing required for Industry 4.0, intelligent methods for detecting and classifying bearing faults have become a subject of scientific research and interest.  ...  Convolutional Neural Networks (CNNs) Convolutional neural networks are extensively accepted, DL-based feed-for networks inspired by the work of Huber and Wiesel in neuroscience [17] .  ... 
doi:10.3390/app112411732 fatcat:2uj267dyxfe6nbrtl6wvlj3vhm

Digital Twin: Values, Challenges and Enablers [article]

Adil Rasheed, Omer San, Trond Kvamsdal
2019 arXiv   pre-print
Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.  ...  in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary  ...  ACKNOWLEDGMENT The authors would like to thank Professor Harald Martens for his helpful comments and suggestions on an earlier draft of this manuscript.  ... 
arXiv:1910.01719v1 fatcat:3r2bbivffbeizelake7oo3xgbm
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