Typology of condition based maintenance
PurposeThe purpose of this paper is the development of an empirically based typology of condition based maintenance (CBM) approaches, including the relevant characteristics and requirements.Design/methodology/approachAn exploratory case study was conducted in a major gas production facility.
Veldman, Jasper +2 more
openaire +4 more sources
A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring
One of the greatest challenges of optimising the correct operation of wind turbines is detecting the health status of their core components, such as gearboxes in particular.
Kerman López de Calle +3 more
doaj +1 more source
A distributed architecture to implement a prognostic function for complex systems [PDF]
The proactivity in maintenance management is improved by the implementation of CBM (Condition-Based Maintenance) principles and of PHM (Prognostic and Health Management). These implementations use data about the health status of the systems.
Archimède, Bernard +3 more
core +1 more source
Operational optimization of networks of compressors considering condition-based maintenance
The paper presents a mixed integer linear programming model which deals with the optimal operation and maintenance of networks of compressors of chemical plants. This optimization model considers condition-based maintenance which involves the degradation
Cicciotti, M +3 more
core +1 more source
Anomaly detection methods are becoming important for condition-based maintenance. This paper proposes an automatic creation method of extraction condition of sensor data for an anomaly detection system.
Tomoaki HIRUTA +2 more
doaj +1 more source
Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain [PDF]
© 2016 Juan Jose Saucedo-Dorantes et al. Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes.
Delgado Prieto, Miquel +4 more
core +2 more sources
Prediction of Motor Failure Time Using An Artificial Neural Network
Industry is constantly seeking ways to avoid corrective maintenance so as to reduce costs. Performing regular scheduled maintenance can help to mitigate this problem, but not necessarily in the most efficient way.
Gustavo Scalabrini Sampaio +3 more
doaj +1 more source
Major challenges in prognostics: study on benchmarking prognostic datasets [PDF]
Even though prognostics has been defined to be one of the most difficult tasks in Condition Based Maintenance (CBM), many studies have reported promising results in recent years.
Camci, Faith +2 more
core
Application of condition-based maintenance for electrical generators based on statistical control charts. [PDF]
Shbool MA, Alanazi B.
europepmc +1 more source
Modelling railway bridge degradation based on historical maintenance data [PDF]
As structures deteriorate with age and use, it is necessary to devise a maintenance plan to control their states in a cost effective way. In order to evaluate the effectiveness of alternative maintenance strategies their success must be measured by their
Andrews, John, Le, Bryant
core +1 more source

