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Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions

Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Pooja Kamat, Shruti Patil, Ketan Kotecha
2021 IEEE Access  
As industries are moving towards the era of Industry 4.0, one can estimate the RUL of dynamic systems with real-time monitoring. RUL plays a vital role in condition-based maintenance [12] , [13] .  ...  Now, industries are switching towards predictive maintenance 4.0 for RUL estimation for continuously remote monitoring by using sensor data.  ... 
doi:10.1109/access.2021.3101284 fatcat:dutkyyqzzbhmxg64scvhuoldly

Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research [article]

Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham
2022 arXiv   pre-print
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. Majority of these machines comprise rotating components and are called rotating machines.  ...  It gives solutions using recent advancements in AI in implementing multi-fault diagnosis, giving a strong base for future research in this field.  ...  It integrates predictive models that can estimate the remaining machine runtime left or diagnose the type of fault in machinery according to detected abnormalities.  ... 
arXiv:2206.14153v1 fatcat:qqcznet7cjb63ioed3rh77cv5q

A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry

Simone Panicucci, Nikolaos Nikolakis, Tania Cerquitelli, Francesco Ventura, Stefano Proto, Enrico Macii, Sotiris Makris, David Bowden, Paul Becker, Niamh O'Mahony, Lucrezia Morabito, Chiara Napione (+3 others)
2020 Electronics  
Empowered by the aforementioned points, this paper discusses a novel methodology for remaining useful life (RUL) estimation enabling predictive maintenance of industrial equipment using partial knowledge  ...  Obtained results show the effectiveness and the efficiency of the proposed methodology in supporting predictive analytics in the era of Industry 4.0.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics9030492 fatcat:bvevom2qjzbcbkr63trzudxkhm

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

B. K. Nagaraja Rao
2021 American Journal of Artificial Intelligence  
Amongst the important aspects in Machine Learning are "Feature Selection" and "Feature Extraction".  ...  We are now witnessing the emerging fourth industrial revolution and a considerable number of evolutionary changes in machine learning methodologies to achieve operational excellence in operating and maintaining  ...  Industry 4.0 era.  ... 
doi:10.11648/j.ajai.20210501.12 fatcat:gvplqmpqubdw3pquik5eavux5u

A Primer on the Factories of the Future

Noble Anumbe, Clint Saidy, Ramy Harik
2022 Sensors  
Due to a lack of consensus on general nomenclature, the term Factory of the Future (or Future Factory) has been used in this paper as a collective euphemism for these paradigms.  ...  Using the semi-narrative research methodology in concert with the snowballing approach, the authors reviewed the open literature to understand the organizing principles behind the most common smart manufacturing  ...  Acknowledgments: This material is based upon work supported by the National Science Foundation under grant number 2119654 and the South Carolina Research Authority.  ... 
doi:10.3390/s22155834 pmid:35957390 pmcid:PMC9370931 fatcat:4gbvuy2yorddfp4j35okzvmlye

Machine Learning Approach Using MLP and SVM Algorithms for the Fault Prediction of a Centrifugal Pump in the Oil and Gas Industry

Pier Francesco Orrù, Andrea Zoccheddu, Lorenzo Sassu, Carmine Mattia, Riccardo Cozza, Simone Arena
2020 Sustainability  
The data analysis is based on real-life historical data from process and equipment sensors mounted on the selected machinery.  ...  This paper presents the preliminary development of a simple and easy to implement machine learning (ML) model for early fault prediction of a centrifugal pump in the oil and gas industry.  ...  The authors wish to thank SARLUX Refinery (Sarroch, Italy) for kindly supplying the data used in the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12114776 fatcat:rdtcbptrkrbxbococn6xugvney

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

Zeki Murat Çınar, Abubakar Abdussalam Nuhu, Qasim Zeeshan, Orhan Korhan, Mohammed Asmael, Babak Safaei
2020 Sustainability  
Recently, with the emergence of Industry 4.0 (I4.0), smart systems, machine learning (ML) within artificial intelligence (AI), predictive maintenance (PdM) approaches have been extensively applied in industries  ...  for handling the health status of industrial equipment.  ...  (I4.0) Integration amongst physical and digital systems of the production contexts is what mainly concerns Industry 4.0 [1] .  ... 
doi:10.3390/su12198211 fatcat:zyqnmup4drcyboinrpen2ya7gq

Internet of Robotic Things in Smart Domains: Applications and Challenges

Laura Romeo, Antonio Petitti, Roberto Marani, Annalisa Milella
2020 Sensors  
Such disruptive technology corresponds to the backbone of the so-called Industry 4.0.  ...  The integration of robotic agents and IoT leads to the concept of the Internet of Robotic Things, in which innovation in digital systems is drawing new possibilities in both industrial and research fields  ...  Acknowledgments: The authors are grateful to Michele Attolico and Giuseppe Bono for the administrative support. The sole responsibility for the content of this publication lies with the authors.  ... 
doi:10.3390/s20123355 pmid:32545700 pmcid:PMC7349752 fatcat:cxg7b5dgdjebzfkvn4pbg2oj4y

The role and importance of Smart Systems concept in the Industry 4.0

Momčilo Amović, Vladimir Vujović, Snježana Milinković
2020 IJEEC - INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTING  
From the 18th century, the Industrial Revolutions led to the creation of a base for the development and progress of civilization and business.  ...  have been established in the context of Digital Transformation and the digital era.  ...  The name of the GoGrow system refers to the implementation of IIoT technology and the entire infrastructure in the field of smart agriculture.  ... 
doi:10.7251/ijeec2002101a fatcat:5jzgbxv2ojgv3ncmdew4muwmke

Investigation of Degradation and Upgradation Models for Flexible Unit Systems: A Systematic Literature Review

Thirupathi Samala, Vijaya Kumar Manupati, Maria Leonilde R. Varela, Goran Putnik
2021 Future Internet  
Research on flexible unit systems (FUS) with the context of descriptive, predictive, and prescriptive analysis have remarkably progressed in recent times, being now reinforced in the current Industry 4.0  ...  era with the increased focus on integration of distributed and digitalized systems.  ...  Acknowledgments: We thank the Associate Editor and three anonymous referees for their thoughtful comments, which have greatly aided in the improvement of the manuscript.  ... 
doi:10.3390/fi13030057 fatcat:nb7cgmcyb5duvcskhnr2y5hov4

Review of Key Technologies and Progress in Industrial Equipment Health Management

Cheng Peng, Zhaohui Tang, Weihua Gui, Qing Chen, Longxin Zhang, Xinpan Yuan, Xiaojun Deng
2020 IEEE Access  
Thank all the authors for their contributions to this article, editors and reviewers for their hard work.  ...  Tang give the overall idea of the article and the main development direction at present. Prof. Peng completes the experiment and writing of the article. Prof. Chen and Prof.  ...  fault diagnosis, fault prediction, remaining useful life prediction, health status estimation; Conclusions are drawn in Section 3 with discussions on future challenges as well as opportunities for machinery  ... 
doi:10.1109/access.2020.3017626 fatcat:l6qdsctda5gqzpqrvc3e6z2x3e

Worker 4.0: The Future of Sensored Construction Sites

Diego Calvetti, Pedro Mêda, Miguel Chichorro Gonçalves, Hipólito Sousa
2020 Buildings  
Construction 4.0 novelties provide new approaches for its evaluation and progress.  ...  Products and services opportunities from Construction 4.0 in the spectrum of craft workforce management include support by embedded sensors for data collection that allow near real-time monitoring.  ...  In the context of the construction industry (CI), task processes remain strongly linked to the craft workforce.  ... 
doi:10.3390/buildings10100169 fatcat:c3e6vtkv65f6jnfnpk5xj5eolu

Application of Robotics in Higher Education in Industry 4.0 Era

Yanna He, Liying Liang
2019 Universal Journal of Educational Research  
As one of the most destructive technologies in the Industry 4.0 Era, robotics has been applied into higher educational practices.  ...  At last, we discuss obstacles hindering the development and wide popularization of robotics in high education institutions and put forward some tentative suggestions for the future spread of robotics in  ...  Introduction Robots and Robotics Digitization in the Industry 4.0 Era affects our life by multiple directions including higher education (Burrit and Christ 2016) .  ... 
doi:10.13189/ujer.2019.070715 fatcat:wqgnbzxt3zfjpocumrrqn5dmui

Agriculture 4.0: An Implementation Framework for Food Security Attainment in Nigeria's Post-Covid-19 Era

Samson O. Oruma, Sanjay Misra, Luis Fernandez-Sanz
2021 IEEE Access  
We adapted our SLR findings to develop an implementation framework for agriculture 4.0 in solving Nigeria's food insecurity challenge in the post-Covid-19 era.  ...  Our proposed framework integrates precision agriculture in Nigeria's food production and the necessary enabling digital technologies in the agri-food supply chain.  ...  The authors are thankful for the support of their respective universities. Prof.  ... 
doi:10.1109/access.2021.3086453 fatcat:qn3lhgddmnhg3mu3ezgo5namuq

Lean Manual Assembly 4.0: A Systematic Review

Adrian Miqueo, Marta Torralba, José A. Yagüe-Fabra
2020 Applied Sciences  
starting point for smart factories, and (4) the implications of Industry 4.0 for people in assembly operations.  ...  Developing methodologies for implementing Industry 4.0 to achieve specific business goals remains an open research topic.  ...  , supply chain integration or machinery-electronics-database integration [177] .  ... 
doi:10.3390/app10238555 fatcat:j7wq7cqhxfhavoirse4pdfsa74
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