istep, an integrated self-tuning engine for predictive maintenance in industry 4.0

D Apiletti, C Barberis, T Cerquitelli… - 2018 IEEE Intl Conf …, 2018 - ieeexplore.ieee.org
The recent expansion of IoT-enabled (Internet of Things) devices in manufacturing contexts
and their subsequent data-driven exploitation paved the way to the advent of the Industry …

Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems

A Borghesi, A Burrello, A Bartolini - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …

Design guidelines for big data gathering in industry 4.0 environments

P Bellavista, F Bosi, A Corradi… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Smart factory management is going through a remarkable change, in terms of quality and
diversity of services provided to customers. The companies that produce manufacturing …

A survey of internet of things and big data integrated solutions for industrie 4.0

K Al-Gumaei, K Schuba, A Friesen… - 2018 IEEE 23rd …, 2018 - ieeexplore.ieee.org
The industrial internet of things (IIoT) is growing at an exponential rate generating massive
amounts of industrial data. This data must be leveraged to support business and operational …

Reference architecture for a collaborative predictive platform for smart maintenance in manufacturing

Z Balogh, E Gatial, J Barbosa, P Leitão… - 2018 ieee 22nd …, 2018 - ieeexplore.ieee.org
Maintenance is a key factor to ensure the production efficiency, since the occurrence of
unexpected failures leads to a degradation of the system performance, causing the loss of …

Iot integration for adaptive manufacturing

C Alexakos, C Anagnostopoulos… - 2018 IEEE 21st …, 2018 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has emerged as a concept for the integration of the
Internet of Things (IoT) in the industrial domain, posing a variety of challenges and …

Challenges to IoT-enabled predictive maintenance for industry 4.0

M Compare, P Baraldi, E Zio - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …

Maintenance 4.0: Intelligent and predictive maintenance system architecture

A Cachada, J Barbosa, P Leitño… - 2018 IEEE 23rd …, 2018 - ieeexplore.ieee.org
In the current manufacturing world, the role of maintenance has been receiving increasingly
more attention while companies understand that maintenance, when well performed, can be …

Brightics-IoT: towards effective industrial IoT platforms for connected smart factories

H Choi, JS Song, K Yi - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Industrial Internet-of-Things (IIoT) supports machines, computers and users to enable
intelligent operations using advanced device management and data analytics. In recent …

Predictive maintenance in a digital factory shop-floor: data mining on historical and operational data coming from manufacturers' information systems

M Pertselakis, F Lampathaki, P Petrali - … Workshops, Rome, Italy, June 3-7 …, 2019 - Springer
Predictive maintenance is regarded by many as a key factor in Industrial Internet of Things
(IIoT) and the development of “smart” factories. With the growing use of sensors and …