Maintenance Data Management for Condition-Based Maintenance Implementation

H Teixeira, C Teixeira, I Lopes - … Resilient Production Systems: IFIP WG 5.7 …, 2021 - Springer
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 …

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 …

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 …

A systematic literature review on applications of condition-based maintenance strategy

MA Noman, ESA Nasr, A Al-Shayea… - International …, 2020 - inderscienceonline.com
Condition-based maintenance (CBM) is a maintenance program that recommends
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 …

[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances

O Surucu, SA Gadsden, J Yawney - Expert Systems with Applications, 2023 - Elsevier
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 …

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 …

Prognostic model development with missing labels: a condition-based maintenance approach using machine learning

P Zschech, K Heinrich, R Bink, JS Neufeld - Business & Information …, 2019 - Springer
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 …

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 …

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 …