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Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance
(2018)
This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS ...
Providing Proactiveness: Data Analysis Techniques Portfolios
(River Publishers, 2018)
Success Stories on Real Pilots
(River Publishers, 2018)
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments
(IEEE, 2018)
Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and the Internet has become ...
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery
(IEEE, 2020)
This paper presents the implementation and explanations of a remaining life estimator model based on machine learning, applied to industrial data. Concretely, the model has been applied to a bushings testbed, where fatigue ...
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
(Taylor and Francis, 2022)
The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics
(PHM Society, 2024)
Batteries are a key enabling technology for the decarbonization of transport and energy sectors. The safe and reliable
operation of batteries is crucial for battery-powered systems.
In this direction, the development of ...
Towards a probabilistic error correction approach for improved drone battery health assessment
(Research Publishing, Singapore, 2023)
Health monitoring of remote critical infrastructure, such as offshore wind turbines, is complex and expensive.
For the offshore energy sector, the accessibility for on-site asset inspection is hampered due to their harsh ...
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
(MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
