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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
degradation conditions of a specific asset and designing maintenance policies that are …
Towards an integrated platform for big data analysis
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 …
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 …
environments. Especially in maintenance, new possibilities to predict malfunctions and …
Advanced sensor-based maintenance in real-world exemplary cases
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 …
advanced maintenance activities, and one of the main players in this process is the sensor …