Improves operational efficiency by delivering combined benefits of up to 50% downtime reduction
- Significantly reduces downtime, with up to 30% reduction.
- Increases MTBF by up to 20%.
- Decreases MTTR by up to 25%.
Industry
Improving industrial capacity and efficiency by leveraging existing control systems
Reduce site visits with remote monitoring for productivity, maintenance optimization, and energy reduction in industrial applications.
Benefits
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Efficiency -
PROFITABILITY Improved device compatibility with thorough integration
- Cost-e ective and confidential data processing with edge computing e ciency.
- Proactive maintenance for predictive and cost-saving upkeep.
- Inventory reduction through cost-e ective asset management, enabling swift and responsive control for real-time decision-making.
Technology
Publications
Author: Miguel Bermeo-Ayerbe, Carlos Ocampo-Martinez, and Javier Diaz-Rozo
Title: Non-intrusive condition monitoring based on event detection and functional data clustering
Publication: Engineering Applications of Artificial Intelligence, vol. 124, p. 106625
Date: September 2023
Author: Miguel Bermeo-Ayerbe, Vincent Cocquempot, Carlos Ocampo-Martinez, and Javier Diaz-Rozo
Title: Remaining useful life estimation of ball-bearings based on motor current signature analysis
Publication: Reliability Engineering &System Safety, vol. 235, p. 109209
Date: July 2023
Author: Carlos Puerto-Santana, Concha Bielza, Javier Diaz-Rozo, Guillem Ramirez-Gargallo, Filippo Mantovani, Gaizka Virumbrales, Jesús Labarta and Pedro Larrañaga
Title: Asymmetric HMMs for Online Ball-Bearing Health Assessments
Publication: IEEE Internet of Things Journal, vol. 9, p. 20160-20177
Date: October 2022
Author: D. Atienza, C. Bielza, J. Diaz-Rozo, and Pedro Larrañaga
Title: Efficient Anomaly Detection in a Laser-surface Heat-treatment Process via Laser-spot Tracking
Publication: IEEE/ASME Transactions on Mechatronics
Date: September 2020
Author: J. Diaz-Rozo, C. Bielza, y P. Larrañaga
Title: Machine-tool condition monitoring with Gaussian mixture models-based dynamic probabilistic clustering
Publication: Engineering Applications of Artificial Intelligence, vol. 89, p. 103434
Date: March 2020
Author: M. A. Montealegre, B. Arejita, P. Alvarez, C. Laorden, y J. Diaz-Rozo
Title: Control quality on process of laser heat treatment
Publication: Materials Science Forum, vol. 941, pp. 1860–1866.
Date: January 2019
Author: J. Diaz-Rozo
Title: Clustering probabilístico dinámico para la búsqueda de patrones de degradación de elementos de máquina en el ámbito del Industrie 4.0
Publication: PhD Thesis, Universidad Politécnica de Madrid
Date: September 2019
Case studies
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Improved efficiency of industrial processes through the use of private 5G networks
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Efficiency study in the aluminum smelting process
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Detection of anomalies in laser hardening process of crankshafts
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Machining process monitoring
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Detection of deviations in high productivity cycle times
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Thermal drift prediction for improved tool tip accuracy
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