Machine health management in smart factory: A review

GY Lee, M Kim, YJ Quan, MS Kim, TJY Kim… - Journal of Mechanical …, 2018 - Springer
In this paper, we present a review of machine health managements for the smart factory. As
the Industry 4.0 leads current factory automation and intelligent machines, the machine …

Industry 4.0-potentials for predictive maintenance

Z Li, K Wang, Y He - 6th international workshop of advanced …, 2016 - atlantis-press.com
Industry 4.0 represents the coming fourth industrial revolution on the way to combine
modern industries with Cyber-Physical Systems, Internet of Things and Internet of Services …

Industrial big data analytics and cyber-physical systems for future maintenance & service innovation

J Lee, HD Ardakani, S Yang, B Bagheri - Procedia cirp, 2015 - Elsevier
With the rapid advancement of Information and Communication Technologies (ICT) and the
integration of advanced analytics into manufacturing, products and services, many industries …

Review on prognostics and health management in smart factory: From conventional to deep learning perspectives

P Kumar, I Raouf, HS Kim - Engineering Applications of Artificial …, 2023 - Elsevier
At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

A real-time condition monitoring and maintenance management system for low voltage industrial motors using internet-of-things

K Mykoniatis - Procedia Manufacturing, 2020 - Elsevier
Maintenance and sound operating industrial equipment are critical for any manufacturing
company. Standardization of the manufacturing infrastructure and establishment of a …

Latest innovations in the field of condition-based maintenance of rotatory machinery: a review

A Kumar, CP Gandhi, H Tang, W Sun… - Measurement Science …, 2023 - iopscience.iop.org
Health monitoring (HM) in rotatory machinery is a process of developing a mechanism to
determine its state of deterioration. It involves analyzing the presence of damage, locating …

Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system

MP Lambán, P Morella, J Royo, JC Sánchez - Computers & Industrial …, 2022 - Elsevier
The fourth industrial revolution is transforming the industrial environment. This work focuses
on the application of 4.0 technologies to solve the problems that predictive maintenance …

Smart prognostics and health management (SPHM) in smart manufacturing: An interoperable framework

S Sundaram, A Zeid - Sensors, 2021 - mdpi.com
Advances in the manufacturing industry have led to modern approaches such as Industry
4.0, Cyber-Physical Systems, Smart Manufacturing (SM) and Digital Twins. The traditional …

Big data oriented smart tool condition monitoring system

K Zhu - Smart Machining Systems: Modelling, Monitoring and …, 2021 - Springer
In the era of rapid development of automation technology, computer technology, and
information technology, CNC machine tools, data acquisition devices, intelligent sensors …

A unified framework and platform for designing of cloud-based machine health monitoring and manufacturing systems

S Yang, B Bagheri, HA Kao… - Journal of …, 2015 - asmedigitalcollection.asme.org
Cloud computing has brought about new service models and research opportunities in the
manufacturing and service industries with advantages in ubiquitous accessibility, convenient …