kabashkin, igor susanin, vitaly
The aviation industry faces considerable challenges in maintenance management due to the complexities of data standardization, data sharing, and predictive maintenance capabilities. This paper introduces a unified ecosystem for data sharing and AI-driven predictive maintenance designed to address these challenges by integrating real-time and histor...
Gück, Christian Roelofs, Cyriana M. A. Faulstich, Stefan
Anomaly detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain specific public datasets are scarce. Many comparisons of different approaches either use benchmarks composed of data from many different domains, inaccessible data or one o...
ali, waqar el-thalji, idriss teigen giljarhus, knut erik delimitis, andreas
Wind turbine blades are critical components of wind energy systems, and their structural health is essential for reliable operation and maintenance. Several studies have used time-domain and frequency-domain features alongside machine learning techniques to predict faults in wind turbine blades, such as erosion and cracks. However, a key gap remain...
dziadosz, agnieszka gajzler, marcin nowotarski, piotr wloch-surowka, kamila
This article presents the issue of sustainably managing of the technical maintenance of multi-family residential buildings with diverse characteristics. The results of this research conducted on entities managing real estate in a real estate market in the city of Poznan (0.5 million inhabitants) are presented along with comments, with attention dra...
safhi, amine el mahdi keserle, gilberto cidreira blanchard, stéphanie c.
Non-destructive testing (NDT) is essential for evaluating the integrity and safety of structures without causing damage. The integration of artificial intelligence (AI) into traditional NDT methods can revolutionize the field by automating data analysis, enhancing defect detection accuracy, enabling predictive maintenance, and facilitating data-dri...
nowotarski, piotr gajzler, marcin
Railways play a key role in sustainable development, being one of the most ecological means of transport. The article discusses the challenges and opportunities related to the maintenance of the railway station infrastructure in Poland, in the context of modern predictive technologies. The Eurail FP3 project, implemented under a European Union gran...
Hosseini, Seyed Mohammad Dibaji, Abolfazl Sulaimany, Sadegh
Published in
Engineering Research Express
Fault diagnosis in rolling element bearings is critical for ensuring machinery reliability. This study improves machine learning techniques for predictive fault detection using the benchmark CWRU bearing dataset. Vibration signal data is preprocessed via balancing and graph-based feature engineering is performed to enable effective model training. ...
ledmaoui, younes el maghraoui, adila el aroussi, mohamed saadane, rachid
Solar photovoltaic systems have increasingly become essential for harvesting renewable energy. However, as these systems grow in prevalence, the issue of the end of life of modules is also increasing. Regular maintenance and inspection are vital to extend the lifespan of these systems, minimize energy losses, and protect the environment. This paper...
amato, flora cirillo, egidia fonisto, mattia moccardi, alberto
Despite considerable advancements in integrating the Internet of Things (IoT) and artificial intelligence (AI) within the industrial maintenance framework, the increasing reliance on these innovative technologies introduces significant vulnerabilities due to cybersecurity risks, potentially compromising the integrity of decision-making processes. A...
Kumar, Rajeev Anand, R S
Published in
Engineering Research Express
Induction motors are in high demand for industrial applications due to their reliable and efficient performance compared to other electrical motors. Therefore, the implementation of a predictive maintenance scheme is necessary to minimise financial losses in terms of revenue and maintenance costs. This scheme involves health monitoring system, aime...
