Status of Initiatives for Smart Maintenance

T Anami - JR East Technical Review, 2020 - trid.trb.org
The Technical Center is a laboratory that has been conducting R&D on innovation of
maintenance work at JR East and supporting front-line work for more than 27 years since its …

[PDF][PDF] Machine learning applied to sensor data analysis

T Go, T Moe, G Hirotsugu… - Yokogawa Tech …, 2016 - web-material3.yokogawa.com
IoT and big data have already become household words and people are becoming
increasingly interested in how to effectively use enormous amounts of collected data …

Neural networks and advanced algorithms for intelligent monitoring in industry

PAE Schmid, A Steinecker, J Sun, HF Knapp - Electronic Components and …, 2019 - Springer
How will machines and plants be maintained in the future? Opinions differ widely. Some are
propagating industry 4.0 as a key technology, others are very skeptical about the huge data …

[HTML][HTML] Data Science application for failure data management and failure prediction in the oil and gas Industry: A case study

S Arena, G Manca, S Murru, PF Orrù, R Perna… - Applied Sciences, 2022 - mdpi.com
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 …

Facilitating and managing machine learning and data analysis tasks in big data environments using web and microservice technologies

S Shahoud, S Gunnarsdottir, H Khalloof… - Proceedings of the 11th …, 2019 - dl.acm.org
Driven by the great advance of machine learning in a wide range of application areas, the
need for developing machine learning frameworks effectively as well as easily usable by …

[HTML][HTML] PHIR: A Platform Solution of Data-Driven Health Monitoring for Industrial Robots

F Jiang, C Hu, C Liu, R Wang, J Zhu, S Chen, J Zhang - Electronics, 2024 - mdpi.com
The large-scale application of industrial robots has created a demand for more intelligent
and efficient health monitoring, which is more efficiently met by data-driven methods due to …

Data-driven intelligent predictive maintenance of industrial assets

O Fink - Women in Industrial and Systems Engineering: Key …, 2020 - Springer
Condition monitoring and predictive maintenance enable to focus on the operating and
degradation conditions of a specific asset and designing maintenance policies that are …

Towards an integrated platform for big data analysis

M Bohlouli, F Schulz, L Angelis, D Pahor… - Integration of practice …, 2013 - Springer
The amount of data in the world is expanding rapidly. Every day, huge amounts of data are
created by scientific experiments, companies, and end users' activities. These large data …

A retrofit approach for predictive maintenance

R Wöstmann, A Barthelmey, N West, J Deuse… - Tagungsband …, 2019 - books.google.com
New technologies are driving the advancing digitalization of both consumer and industrial
environments. Especially in maintenance, new possibilities to predict malfunctions and …

Advanced sensor-based maintenance in real-world exemplary cases

M Albano, LL Ferreira, G Di Orio, P Maló… - Automatika: časopis za …, 2020 - hrcak.srce.hr
Sažetak Collecting complex information on the status of machinery is the enabler for
advanced maintenance activities, and one of the main players in this process is the sensor …