Data-driven intelligent predictive maintenance of industrial assets
O Fink - Women in Industrial and Systems Engineering: Key …, 2020 - Springer
Condition monitoring and predictive maintenance enable to focus on the operating and
degradation conditions of a specific asset and designing maintenance policies that are …
degradation conditions of a specific asset and designing maintenance policies that are …
[PDF][PDF] Development of a condition based maintenance decision model by data mining
GS CAKIR - School of Industrial Engineering, TUE, 2011 - research.tue.nl
This master thesis describes a research project conducted within the Customer Service
Operational Services department at ASML. A decision support model is developed for …
Operational Services department at ASML. A decision support model is developed for …
[PDF][PDF] Condition Monitoring Solutions with a Focus on Prognosis Capabilities
TL Lagö - Information Technology Solutions MPMM 2011 - diva-portal.org
This article will discuss how CBM methods have been developed and typical methodology
for different areas. Basic principles and capabilities for each method will be discussed and …
for different areas. Basic principles and capabilities for each method will be discussed and …
[PDF][PDF] Machine failure diagnostics and prognostics using error information and sensor data
L Botman - 2017 - research.tue.nl
Condition based maintenance (CBM) is a preventive maintenance strategy in which
maintenance decisions are based on the condition of a physical asset, which is assessed by …
maintenance decisions are based on the condition of a physical asset, which is assessed by …
A proactive decision making framework for condition-based maintenance
Purpose–The purpose of this paper is to perform an extensive literature review in the area of
decision making for condition-based maintenance (CBM) and identify possibilities for …
decision making for condition-based maintenance (CBM) and identify possibilities for …
[HTML][HTML] Development of a methodology for condition-based maintenance in a large-scale application field
M Cocconcelli, L Capelli… - Machines, 2018 - mdpi.com
This paper describes a methodology, developed by the authors, for condition monitoring and
diagnostics of several critical components in the large-scale applications with machines. For …
diagnostics of several critical components in the large-scale applications with machines. For …
[HTML][HTML] 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 …
Condition-based maintenance implementation: a literature review
Industrial companies are increasingly dependent on the availability and performance of their
equipment to remain competitive. This circumstance demands accurate and timely …
equipment to remain competitive. This circumstance demands accurate and timely …
Inspection-based Preventive Maintenance Model with a Semi Markov Process-An Application to Aviation Fueling Facilities
D Hyun Soo - 2021 - ntnuopen.ntnu.no
There is a long-standing interest in the study of condition-based maintenance (CBM)
integrated with continuous monitoring schemes accompanied by enormous initial …
integrated with continuous monitoring schemes accompanied by enormous initial …
An overview of useful data and analyzing techniques for improved multivariate diagnostics and prognostics in condition-based maintenance
C Wagner, P Saalmann… - Annual Conference of …, 2016 - papers.phmsociety.org
The reliability of production machines gains in importance in today's optimized and highly
productive business environments. Unexpected machine breakdowns do not only lead to …
productive business environments. Unexpected machine breakdowns do not only lead to …