|
|
|
|
|
Alessia Maria Rosaria Tortora, Valentina Di Pasquale and Raffaele Iannone
Maintenance management is assuming an increasingly important role and garnering increased attention in Small and Medium Enterprises (SMEs). However, the difficulty of collecting data and processing information is evident in such contexts. In the current ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Unai Izagirre, Imanol Andonegui, Aritz Egea and Urko Zurutuza
This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint health assessment. Torque sensor da...
ver más
|
|
|
|
|
|
|
|
|
|
|
D. Helmi, M. Radouani, B. El fahime, S.A Kamel kaya
Pág. 1593 - 1599
Manufacturers recognize that production systems have no value if the production equipment is unreliable. Nowadaysindustrial maintenance, strategic business function is evolving. It is inter -related to the development of knowledge and technology, the dev...
ver más
|
|
|
|
|
|
|
|
|
|
|
Teodoro Montanaro, Ilaria Sergi, Ilaria Stefanizzi, Luca Landi, Luciano Di Donato and Luigi Patrono
One of the most important factors that influence people?s daily lives and their well-being at work is the so-called ?worker safety?. Different literature works demonstrated the positive effects on worker mood and well-being brought by the awareness of be...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mario Ortega, Eugenio Ivorra, Alejandro Juan, Pablo Venegas, Jorge Martínez and Mariano Alcañiz
MANTRA system has been validated in laboratory condition with an electronic board maintenance task, but it has been developed to work for almost any industrial maintenance task of electromechanical devices such as electric motors, power control panels or...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alessia M. R. Tortora, Valentina Di Pasquale, Chiara Franciosi, Salvatore Miranda and Raffaele Iannone
Maintenance contributes to gaining high business performance, guarantees system availability and reliability as well as safe and sustainable operations. Maintenance activity effectiveness depends on competences and the skills of operators whose performan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sotirios Kontogiannis, Theodosios Gkamas and Christos Pikridas
Maintenance processes are of high importance for industrial plants. They have to be performed regularly and uninterruptedly. To assist maintenance personnel, industrial sensors monitored by distributed control systems observe and collect several machiner...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raquel Redondo, Álvaro Herrero, Emilio Corchado and Javier Sedano
In recent years, the digital transformation has been advancing in industrial companies, supported by the Key Enabling Technologies (Big Data, IoT, etc.) of Industry 4.0. As a consequence, companies have large volumes of data and information that must be ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anna Teern,Markus Kelanti,Tero Päivärinta,Mika Karaila
Pág. 1 - 15
Knowledge graphs (KGs) structure knowledge to enable the development of intelligent systems across several application domains. In industrial maintenance, comprehensive knowledge of the factory, machinery, and components is indispensable. This study defi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dimitris Mourtzis, Vasileios Siatras and John Angelopoulos
In the realm of the current industrial revolution, interesting innovations as well as new techniques are constantly being introduced by offering fertile ground for further investigation and improvement in the industrial engineering domain. More specifica...
ver más
|
|
|
|
|
|
|
|
|
|
|
Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero and Marcello Chiaberge
New technologies are developed inside today?s companies with the ascent of Industry 4.0 paradigm; Artificial Intelligence applied to Predictive Maintenance is one of these, helping factories automate their systems in detecting anomalies. The deviation of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou
The scheduled maintenance of industrial equipment is usually performed with a low frequency, as it usually leads to unpredicted downtime in business operations. Nevertheless, this confers a risk of failure in individual modules of the equipment, which ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
D. Gonzalez-Calvo, R.M. Aguilar, C. Criado-Hernandez, L.A. Gonzalez-Mendoza
Pág. 53 - 71
|
|
|
|
|
|
|
|
|
|
|
Balduíno César Mateus, Mateus Mendes, José Torres Farinha and António Marques Cardoso
Predictive maintenance is very important in industrial plants to support decisions aiming to maximize maintenance investments and equipment?s availability. This paper presents predictive models based on long short-term memory neural networks, applied to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sahan Yoruç Selçuk, Perin Ünal, Özlem Albayrak and Moez Jomâa
Digital twins, virtual representations of real-life physical objects or processes, are becoming widely used in many different industrial sectors. One of the main uses of digital twins is predictive maintenance, and these technologies are being adapted to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nils Hütten, Miguel Alves Gomes, Florian Hölken, Karlo Andricevic, Richard Meyes and Tobias Meisen
Quality assessment in industrial applications is often carried out through visual inspection, usually performed or supported by human domain experts. However, the manual visual inspection of processes and products is error-prone and expensive. It is ther...
ver más
|
|
|
|
|
|
|
|
|
|
|
Simone Arena, Giuseppe Manca, Stefano Murru, Pier Francesco Orrù, Roberta Perna and Diego Reforgiato Recupero
In the industrial domain, maintenance is essential to guarantee the correct operations, availability, and efficiency of machinery and systems. With the advent of Industry 4.0, solutions based on machine learning can be used for the prediction of future f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amusan Lekan, Aigbavboa Clinton and James Owolabi
Construction 4.0 (C4.0) has tremendously impacted construction activities worldwide in recent times. This effect was made possible on account of innovations brought about by Industry 4.0 (I4.0). Industry 4.0 has the potential to create Construction 4.0 t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aitor Goti, Aitor Oyarbide-Zubillaga, Ana Sanchez, Tugce Akyazi and Elisabete Alberdi
Thanks to the digitalization of industry, maintenance is a trending topic. The amount of data available for analyses and optimizations in this field has increased considerably. In addition, there are more and more complex systems to maintain, and to keep...
ver más
|
|
|
|
|
|
|
|
|
|
|
P. N. Palmer
AbstractIn this article, aspects relating to the management of the maintenance function within a production system are discussed. Inordinate disparities undermining the execution of the maintenance function - as a result of inter-regional differences reg...
ver más
|
|
|
|
|
|