Combinatorial Q-Learning for Condition-Based Infrastructure Maintenance
Infrastructure maintenance planning is a large-scale optimization problem of planning when and on which components to carry out maintenance so as to keep the whole infrastructure in good condition with minimal maintenance cost.
Akira Tanimoto
doaj +1 more source
Preventive maintenance model analysis on wind-turbine gearbox under stochastic disturbance
In recent, with the rapid scientific and technical developments, condition-based maintenance(CBM) has already been broadly applied in modern large-scale wind plants increasingly and reported that tremendous achievements are gained.
Li Chen, Hongsheng Su, Lanlan Huangfu
doaj +1 more source
Clustering of Condition-Based Maintenance Activities with Imperfect Maintenance and Predication Signals [PDF]
Condition-based maintenance (CBM) is a well-known maintenance cost minimization strategy in which maintenance activities are performed based on the actual state of the system being maintained.
Hasan Rasay +2 more
doaj
Condition-based maintenance considering shock and degradation processes [PDF]
An important issue in maintaining the industrial equipment is to introduce an appropriate maintenance policy to monitor the conditions of the equipment. In this research, an investigation on the concurrent effects of erosion and random shocks during the ...
Hossein Rahimi Komijani +3 more
doaj +1 more source
A Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
While most industrial maintenance strategies are centered on optimizing machine runtime and cost reduction, the condition-based maintenance (CBM) strategy distinguishes itself from others in its use of real-time operational data from machines to help ...
Tyler Ward +3 more
doaj +1 more source
Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations
Continuous wheel condition monitoring is indispensable for the early detection of wheel defects. In this paper, we provide an approach based on cepstral analysis of axle-box accelerations (ABA).
Benjamin Baasch +3 more
doaj +1 more source
Unlocking the Potential of Soft Computing for Predicting Lubricant Elemental Spectroscopy
Predictive maintenance of mechanical systems relies on accurate condition monitoring of lubricants. This study assesses the performance of soft computing models in predicting the elemental spectroscopy (Fe, Pb, Cu, Cr, Al, Si, and Zn) of engine ...
Mohammad-Reza Pourramezan +2 more
doaj +1 more source
Condition based maintenance in the context of opportunistic maintenance
Condition based maintenance (CBM) uses the operating condition of a component to predict a failure event. Compared to age based replacement (ABR), CBM usually results in higher availability and lower maintenance costs, since it tries to prevent unplanned downtime and avoid unnecessary preventive maintenance activities for a component.
Koochaki, Javid +3 more
openaire +2 more sources
A condition-based maintenance approach may be used for planning the maintenance activities of textile machines with a satisfactory performance by developing maintenance decision-making support based on fuzzy logic and vibration monitoring.
Marius Baban +2 more
doaj +1 more source
Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source

