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
Diagnostics and prognostics utilising dynamic Bayesian networks applied to a wind turbine gearbox [PDF]
The UK has the largest installed capacity of offshore wind and this is set to increase significantly in future years. The difficulty in conducting maintenance offshore leads to increased operation and maintenance costs compared to onshore but with better
Kenyon, Andrew +4 more
core
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
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 review of mechanical seals tribology and condition monitoring [PDF]
Mechanical seals have become one of the most popular sealing systems for rotating machinery because of low leakage and absence of a requirement for routine maintenance.
Ball, Andrew +2 more
core
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
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
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
Application of condition-based maintenance for electrical generators based on statistical control charts. [PDF]
Shbool MA, Alanazi B.
europepmc +1 more source
Railway track condition assessment at network level by frequency domain analysis of GPR data [PDF]
The railway track system is a crucial infrastructure for the transportation of people and goods in modern societies. With the increase in railway traffic, the availability of the track for monitoring and maintenance purposes is becoming significantly ...
Fontul, Simona +3 more
core +2 more sources

