[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …
large number of domains, including railways. In this paper, we present a systematic literature …
Predictive maintenance and intelligent sensors in smart factory
With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
Interpretable Machine Learning: A brief survey from the predictive maintenance perspective
S Vollert, M Atzmueller… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
In the field of predictive maintenance (PdM), machine learning (ML) has gained importance
over the last years. Accompanying this development, an increasing number of papers use …
over the last years. Accompanying this development, an increasing number of papers use …
Machine learning approach using MLP and SVM algorithms for the fault prediction of a centrifugal pump in the oil and gas industry
PF Orrù, A Zoccheddu, L Sassu, C Mattia, R Cozza… - Sustainability, 2020 - mdpi.com
The demand for cost-effective, reliable and safe machinery operation requires accurate fault
detection and classification to achieve an efficient maintenance strategy and increase …
detection and classification to achieve an efficient maintenance strategy and increase …
A survey on data-driven predictive maintenance for the railway industry
In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …
Risk-based and predictive maintenance planning of engineering infrastructure: existing quantitative techniques and future directions
Engineering infrastructure incorporate complex systems, hazardous materials and often
operated by human beings, making them prone to catastrophic accidents. Continuously …
operated by human beings, making them prone to catastrophic accidents. Continuously …
Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives
Proton exchange membrane fuel cell (PEMFC), as an attractive alternative power source,
has seen its increasing deployment in both automotive and small stationary applications. To …
has seen its increasing deployment in both automotive and small stationary applications. To …
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and …
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
Predictive maintenance for pump systems and thermal power plants: State-of-the-art review, trends and challenges
J Fausing Olesen, HR Shaker - Sensors, 2020 - mdpi.com
Thermal power plants are an important asset in the current energy infrastructure, delivering
ancillary services, power, and heat to their respective consumers. Faults on critical …
ancillary services, power, and heat to their respective consumers. Faults on critical …
Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering
Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …
heuristics and simple scheduling. The railway industry is now collecting a large amount of …