Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics
The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …
optimized operations, and proper maintenance in order to keep the system in an optimal …
[HTML][HTML] On the fault detection and diagnosis of railway switch and crossing systems: An overview
Railway switch and crossing (S&C) systems have a very complex structure that requires not
only a large number of components (such as rails, check rails, switches, crossings, turnout …
only a large number of components (such as rails, check rails, switches, crossings, turnout …
Vibration-based fault diagnosis for railway point machines using multi-domain features, ensemble feature selection and SVM
As one of the important devices in railway signaling system, railway point machines have a
great influence on train operation safety. To realize the fault diagnosis of railway point …
great influence on train operation safety. To realize the fault diagnosis of railway point …
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: An early failure detection diagnostic service
Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …
situations in processes to avoid downtimes caused by unexpected tool wear or …
Condition monitoring for railway point machines based on sound analysis and support vector machine
Y Sun, Y Cao, G Xie, T Wen - Chinese Journal of Electronics, 2020 - Wiley Online Library
Railway point machines (RPMS) are one of the key equipments in the railway system to
switch different routes for the trains. Condition monitoring for RPMs is a vital measure to …
switch different routes for the trains. Condition monitoring for RPMs is a vital measure to …
Degradation state mining and identification for railway point machines
Critical point machine failure in railway-signal systems can lead to fatal accidents. Hence,
early identification of anomalies is vital in guaranteeing reliable and safe transportation …
early identification of anomalies is vital in guaranteeing reliable and safe transportation …
Defining a data-driven maintenance policy: an application to an oil refinery plant
Purpose The purpose of this paper is developing a data-driven maintenance policy through
the analysis of vast amount of data and its application to an oil refinery plant. The …
the analysis of vast amount of data and its application to an oil refinery plant. The …
An auto-associative residual based approach for railway point system fault detection and diagnosis
Z Shi, Z Liu, J Lee - Measurement, 2018 - Elsevier
Railway point systems are highly reliable systems the failure of which could lead to
significant system delay and have a high chance of causing a fatal accident. It is therefore …
significant system delay and have a high chance of causing a fatal accident. It is therefore …
Feature selection and fault‐severity classification–based machine health assessment methodology for point machine sliding‐chair degradation
In this paper, we propose an offline and online machine health assessment (MHA)
methodology composed of feature extraction and selection, segmentation‐based fault …
methodology composed of feature extraction and selection, segmentation‐based fault …
Pattern recognition based on statistical methods combined with machine learning in railway switches
Railway switches are critical components in the rail system. Operation and maintenance
tasks are essential to ensure proper functioning and avoid any failure that can cause delays …
tasks are essential to ensure proper functioning and avoid any failure that can cause delays …