Maintenance Data Management for Condition-Based Maintenance Implementation
The ability to rapidly obtain significant and accurate information from extensive data records
is a key factor for companies' success in today's competitive environment. Different machine …
is a key factor for companies' success in today's competitive environment. Different machine …
Condition monitoring for predictive maintenance in the pulp & paper industry: Two implementations
J Jokinen, C Postelnicu, B Zhang… - … on Systems, Man …, 2012 - ieeexplore.ieee.org
This paper presents two implementations of condition monitoring of significant information in
a typical machine utilized in the pulp and paper industry, a circuit oil lubrication system. The …
a typical machine utilized in the pulp and paper industry, a circuit oil lubrication system. The …
Condition-based maintenance in hydroelectric plants: A systematic literature review
RB de Santis, TS Gontijo… - Proceedings of the …, 2022 - journals.sagepub.com
Industrial maintenance has become an essential strategic factor for profit and productivity in
industrial systems. In the modern industrial context, condition-based maintenance guides …
industrial systems. In the modern industrial context, condition-based maintenance guides …
A systematic literature review on applications of condition-based maintenance strategy
Condition-based maintenance (CBM) is a maintenance program that recommends
maintenance decisions based on collected data through condition monitoring. The aim of …
maintenance decisions based on collected data through condition monitoring. The aim of …
A review of fault prognostics in condition based maintenance
L Zhang, X Li, J Yu - Sixth International Symposium on …, 2006 - spiedigitallibrary.org
The main idea of condition based maintenance (CBM) is to monitor the health of critical
machine components and system almost continuously during operation and maintenance …
machine components and system almost continuously during operation and maintenance …
[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances
In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
CBM optimization models with multivariate observations.
J Wu - 2007 - library-archives.canada.ca
Modern manufacturing systems have become highly automated. The sophistication of the
equipment has increased the impact of unplanned downtime caused by system failures …
equipment has increased the impact of unplanned downtime caused by system failures …
Prognostic model development with missing labels: a condition-based maintenance approach using machine learning
Condition-based maintenance (CBM) has emerged as a proactive strategy for determining
the best time for maintenance activities. In this paper, a case of a milling process with …
the best time for maintenance activities. In this paper, a case of a milling process with …
A review of Condition Based Maintenance approaches and its structure
FAJM Fabricio - Research Survey Papers for IMT353, 2022 - imt.ucb.edu.bo
Machinery maintenance has been a continuous process in the industry for the last 100
years, which costs time and money to the industries, and techniques developed throughout …
years, which costs time and money to the industries, and techniques developed throughout …
A review on machinery diagnostics and prognostics implementing condition-based maintenance
AKS Jardine, D Lin, D Banjevic - Mechanical systems and signal …, 2006 - Elsevier
Condition-based maintenance (CBM) is a maintenance program that recommends
maintenance decisions based on the information collected through condition monitoring. It …
maintenance decisions based on the information collected through condition monitoring. It …