Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0
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 …
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
Predictive maintenance and intelligent sensors in smart factory
With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
[HTML][HTML] Review of predictive maintenance algorithms applied to HVAC systems
N Es-Sakali, M Cherkaoui, MO Mghazli, Z Naimi - Energy Reports, 2022 - Elsevier
Predictive maintenance is a preventive maintenance approach that is performed based on
an online health assessment and allows for timely pre-failure interventions. It can diminish …
an online health assessment and allows for timely pre-failure interventions. It can diminish …
Data mining in predictive maintenance systems: A taxonomy and systematic review
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …
type of maintenance to perform on various industrial systems. This aim involves maximizing …
[HTML][HTML] Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive …
This study aims to enhance energy performance estimation and maintenance planning for
office buildings in Tehran. Machine learning and data mining techniques were employed …
office buildings in Tehran. Machine learning and data mining techniques were employed …
Thermographic image-based diagnosis of failures in electrical motors using deep transfer learning
LFD dos Santos, JL dos Santos Canuto… - … Applications of Artificial …, 2023 - Elsevier
Diagnosing faults in electric motors is a task of great importance for the Industrial Sector
since stopping these types of equipment can cause several invaluable losses for industries …
since stopping these types of equipment can cause several invaluable losses for industries …
An integrated methodological approach for optimising complex systems subjected to predictive maintenance
U Ahmed, S Carpitella, A Certa - Reliability Engineering & System Safety, 2021 - Elsevier
The present paper addresses the relevant topic of maintenance management, widely
recognised as a fundamental issue involving complex engineering systems and leading …
recognised as a fundamental issue involving complex engineering systems and leading …
A systematic literature review of the predictive maintenance from transportation systems aspect
With the rapid progress of network technologies and sensors, monitoring the sensor data
such as pressure, temperature, current, vibration and other electrical, mechanical and …
such as pressure, temperature, current, vibration and other electrical, mechanical and …
A machine learning modeling framework for predictive maintenance based on equipment load cycle: An application in a real world case
ARA Vallim Filho, D Farina Moraes… - Energies, 2022 - mdpi.com
From a practical point of view, a turbine load cycle (TLC) is defined as the time a turbine in a
power plant remains in operation. TLC is used by many electric power plants as a stop …
power plant remains in operation. TLC is used by many electric power plants as a stop …
[PDF][PDF] Applications of machine learning in aircraft maintenance
Aircraft maintenance is an expansive multidisciplinary field which entails robust design and
optimization of extensive maintenance operations and procedures; encompassing the fault …
optimization of extensive maintenance operations and procedures; encompassing the fault …