Search Results - subject:"predictive maintenance"

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Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors: State of the art survey

Drakaki, Maria; Karnavas, Yannis L.; Tziafettas, Ioannis A. - In: Journal of Industrial Engineering and Management (JIEM) 15 (2022) 1, pp. 31-57

-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of …

Persistent link: https://www.econbiz.de/10013326270

A systematic mapping study on machine learning techniques applied for condition monitoring and predictive maintenance in the manufacturing sector

Thuy Linh Jenny Phan; Gehrhardt, Ingolf; Heik, David; … - In: Logistics 6 (2022) 2, pp. 1-22

. Every component of the production needs to be continuously monitored, which is the basis for predictive maintenance (PdM …

Persistent link: https://www.econbiz.de/10013286787

Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors : state of the art survey

Drakaki, Maria; Karnavas, Yannis L.; Tziafettas, Ioannis A. - In: Journal of industrial engineering and management : JIEM 15 (2022) 1, pp. 31-57

-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of …

Persistent link: https://www.econbiz.de/10012815091

A predictive maintenance system for reverse supply chain operations

Gayialis, Sotiris P.; Kechagias, Evripidis P.; … - In: Logistics 6 (2022) 1, pp. 1-14

architecture for developing a system that covers the needs for predictive maintenance in the service supply chain. It is based on …

Persistent link: https://www.econbiz.de/10012818081

Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines

Zschech, Patrick - In: Information Systems and e-Business Management 21 (2022) 1, pp. 193-227

Taxonomies can serve as a valuable tool to capture dimensions and characteristics of data analytics solutions in a structured manner and thus create transparency about different design options of the technical solution space. However, previous taxonomic approaches often remain at a purely...

Persistent link: https://www.econbiz.de/10015323513

Development of a flexible data management system, to implement predictive maintenance in the Industry 4.0 context

Ciancio, Vincent; Homri, Lazhar; Dantan, Jean-Yves; … - In: International journal of production research 62 (2024) 6, pp. 2255-2271

Persistent link: https://www.econbiz.de/10014546398

Optimal production and predictive maintenance decisions for deteriorated products under advance-cash-credit payments

Tsao, Yu-Chung; Pantisoontorn, Arin; Vu, Thuy-Linh; … - In: International journal of production economics 269 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10015048796

Technology megatrends for sustainable business

Chand, Badr-un-nisa; Thakur, Kiran - In: Innovation, Sustainability, and Technological …, (pp. 81-106). 2024

Persistent link: https://www.econbiz.de/10014450744

Smartphone-enabled predictive maintenance : development and implementation of a reference architecture and processes

Jonas, Claudius; König, Ulrich; Röglinger, Maximilian - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 5261-5275

Persistent link: https://www.econbiz.de/10015411542

Management of early failure detection of production process : the case of the clutch shaft alignment using LSTM deep learning algorithm

Przysucha, Bartosz; Rymarczyk, Tomasz; Wójcik, Dariusz; … - In: European research studies 24 (2021) 2, pp. 189-197

Persistent link: https://www.econbiz.de/10012663864