A survey of predictive maintenance: Systems, purposes and approaches
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …
with emphasis on system architectures, purposes and approaches. In industry, any outages …
Internet of Things in food processing and its potential in Industry 4.0 era: A review
H Dadhaneeya, PK Nema, VK Arora - Trends in Food Science & …, 2023 - Elsevier
Background Food processing is a technique to convert agricultural produce into a
consumable food product with enhanced shelf life. The advent of Industry 4.0 greatly …
consumable food product with enhanced shelf life. The advent of Industry 4.0 greatly …
[HTML][HTML] A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics
The building industry consumes the most energy globally, making it a priority in energy
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …
Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms
Facility managers usually conduct reactive maintenance or preventive maintenance
strategies in building maintenance management. However, there are some limitations that …
strategies in building maintenance management. However, there are some limitations that …
Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city
We propose a hierarchical blockchain-based platform for ensuring the integrity of smart city
Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined …
Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined …
Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Analysis of multi-dimensional Industrial IoT (IIoT) data in Edge-Fog-Cloud based architectural frameworks: A survey on current state and research challenges
Cloud computing is changing the traditional ways of computing using its different forms and
architectural types such as Edge and Fog computing. These computing frameworks are the …
architectural types such as Edge and Fog computing. These computing frameworks are the …
Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
Maintaining electrical machines in good working order and increasing their life expectancy
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …
Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis
LM Kipper, LB Furstenau, D Hoppe… - … Journal of Production …, 2020 - Taylor & Francis
Research in industry 4.0 is growing, driven by the innovations in production systems on a
continuous basis. In this study, we identified the evolution of themes inherent in the industry …
continuous basis. In this study, we identified the evolution of themes inherent in the industry …
Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment
In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …