Predictive maintenance in Industry 4.0: A systematic multi-sector mapping
Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …
machinery installed in industrial facilities. Failures can disrupt production and lead the …
“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition
The number of published manufacturing science digital articles available from scientific
journals and the broader web have exponentially increased every year since the 1990s. To …
journals and the broader web have exponentially increased every year since the 1990s. To …
Natural Language Processing Approaches in Industrial Maintenance: A Systematic Literature Review
Industrial maintenance plays a crucial role in manufacturing by significantly reducing
machine failure time and minimizing costs, especially in the revolution of Industry 4.0 …
machine failure time and minimizing costs, especially in the revolution of Industry 4.0 …
Technological troubleshooting based on sentence embedding with deep transformers
In nowadays manufacturing, each technical assistance operation is digitally tracked. This
results in a huge amount of textual data that can be exploited as a knowledge base to …
results in a huge amount of textual data that can be exploited as a knowledge base to …
Utilizing different artificial intelligence techniques for efficient condition assessment of building components
Facility management maintains building service quality through cycles of condition
assessments and rehabilitation. Building components, however, differ in their nature, service …
assessments and rehabilitation. Building components, however, differ in their nature, service …
Benchmarking Maintenance Practices for Allocating Features Affecting Hydraulic System Maintenance: A West-Balkan Perspective
M Orošnjak, D Šević - Mathematics, 2023 - mdpi.com
As a consequence of the application advanced maintenance practices, the theoretical
probability of failures occurring is relatively low. However, observations of low levels of …
probability of failures occurring is relatively low. However, observations of low levels of …
Automated analysis and assignment of maintenance work orders using natural language processing
Maintenance management forms a core component of building facility management, which
is particularly important for specialized and complex healthcare facilities. However, existing …
is particularly important for specialized and complex healthcare facilities. However, existing …
KPI Extraction from Maintenance Work Orders—A Comparison of Expert Labeling, Text Classification and AI-Assisted Tagging for Computing Failure Rates of Wind …
Maintenance work orders are commonly used to document information about wind turbine
operation and maintenance. This includes details about proactive and reactive wind turbine …
operation and maintenance. This includes details about proactive and reactive wind turbine …
[HTML][HTML] Decomposing maintenance actions into sub-tasks using natural language processing: A case study in an Italian automotive company
V Giordano, G Fantoni - Computers in Industry, 2025 - Elsevier
Industry 4.0 has led to a huge increase in data coming from machine maintenance. At the
same time, advances in Natural Language Processing (NLP) and Large Language Models …
same time, advances in Natural Language Processing (NLP) and Large Language Models …
An ontology for maintenance activities and its application to data quality
Maintenance of assets is a multi-million dollar cost each year for asset intensive
organisations in the defence, manufacturing, resource and infrastructure sectors. These …
organisations in the defence, manufacturing, resource and infrastructure sectors. These …