Browsing by Author "0000-0001-5192-8587"
Now showing items 1-20 of 145
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A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept
Calvo Báscones, Pablo; Voisin, Alexandre; Do, Phuc; Sanz Bobi, Miguel Ángel (2023-01-01)This paper proposes a novel anomaly detection methodology for industrial systems based on Digital Twin (DT) ecosystems. In addition to DTs, conceived as a digital representation of a physical entity, this paper proposes a ... -
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept
Calvo Báscones, Pablo; Voisin, Alexandre; Do, Phuc; Sanz Bobi, Miguel Ángel (2023-09-13). -
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept
Calvo Báscones, Pablo; Voisin, Alexandre; Do, Phuc; Sanz Bobi, Miguel Ángel (01/01/2023)This paper proposes a novel anomaly detection methodology for industrial systems based on Digital Twin (DT) ecosystems. In addition to DTs, conceived as a digital representation of a physical entity, this paper proposes a ... -
A cumulative pollution index for the estimation of the leakage current on insulator strings
Santos Yubero, Héctor de; Sanz Bobi, Miguel Ángel (2020-10-01)The pollution performance of insulators installed in transmission and distribution lines plays a key role in maintaining the reliability, safety and cost-effectiveness of power systems. Among the different insulator ... -
A health condition model for wind turbine monitoring through neural networks and proportional hazard models
Mazidi, Peyman; Du, Mian; Bertling Tjemberg, Lina; Sanz Bobi, Miguel Ángel (2017-10-01)In this paper, a parametric model for health condition monitoring of wind turbines (HCWT) is developed. The study is based on the assumption that a wind turbine’s (WT) health condition can be modeled through three features: ... -
A machine learning approach for condition monitoring of high voltage insulators in polluted environments
Santos Yubero, Héctor de; Sanz Bobi, Miguel Ángel (2023-07-01)Este artículo propone un nuevo enfoque para monitorizar el estado de los aisladores eléctricos basado en la combinación de técnica de submuestreo aleatorio con un algoritmo de refuerzo adaptativo (RUSBoost), con el objetivo ... -
A machine learning method applied to the evaluation of the condition in a fleet of similar vehicles
Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel; Brighenti, Chiara; Ricatto, MattiaThis paper presents a procedure for anomaly detection of temperatures in different key components of the power train in a fleet of similar vehicles. The anomaly detection is based on the characterization of the typical ... -
A method for estimating stress of a failure mode in a component due to abnormal behaviour observed in a wind turbine
Sanz Bobi, Miguel Ángel; Andrade Vieira, Rodrigo José (Det Norske Veritas, Norway and Centre for Industrial Asset Management (CIAM), University of Stavange (Stavanger, Noruega), 2011-05-30)Sometimes an industrial component can be affected during its life by several external and internal conditions that can induce failure modes, or at least, contribute to the presence of one or more symptoms ... -
A neural-based model for fast continuous and global robot location
Sánchez Miralles, Alvaro; Sanz Bobi, Miguel Ángel (2006-07-01)One of the problems in the field of mobile robotics is the estimation of the robot position in an environment. This paper proposes a model for estimating a confidence interval of the robot position in order to compare it ... -
A new methodology of fault location for predictive maintenance of transmission lines
Renatha N. da Silva, Paula; Max L.C. Negrão, Martín; Vieira Junior, Petronio; Sanz Bobi, Miguel Ángel (2012-11-01)This paper presents a new methodology for monitoring, in real-time, the conditions of the insulation of an power transmission line, detecting and locating anomalies in its operation, before the supply of power is interrupted, ... -
A performance and maintenance evaluation framework for wind turbines
Mazidi, Peyman; Du, Mian; Bertling Tjemberg, Lina; Sanz Bobi, Miguel ÁngelIn this paper, a data driven framework for performance and maintenance evaluation (PAME) of wind turbines (WT) is proposed. To develop the framework, SCADA data of WTs are adopted and several parameters are carefully ... -
A tool for the assessment of the electromagnetic forces in power distribution transformers
Da Costa Lopes, Andrey; Sanz Bobi, Miguel Ángel; Rouco Rodríguez, Luis; Palacios Hielscher, Rafael; Flores Losada, Luis; Cirujano Ballesteros, Pablo (2011-10-31)This paper compares the estimated electromagnetic forces due to short circuits in power transformers using two computational models. The first model is based on approximate analytical expressions of the electromagnetic ... -
A tool for the assessment of the electromagnetic forces in power distribution transformers
Da Costa Lopes, Andrey; Sanz Bobi, Miguel Ángel; Rouco Rodríguez, Luis; Palacios Hielscher, Rafael; Flores Losada, Luis; Cirujano Ballesteros, Pablo (Departamento de Ingeniería Eléctrica. Universidade de Vigo (Santiago de Compostela, España), 2010-10-03)This paper compares the estimated electromagnetic forces due to short circuits in power transformers using two computational models. The first model is based on approximate analytical expressions of the electromagnetic ... -
Advanced Prognosis methodology based on behavioral indicators and Chained Sequential Memory Neural Networks with a diesel engine application
Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel (2022-09-14). -
Advanced prognosis methodology based on behavioral indicators and chained sequential memory neural networks with a diesel engine applicat
Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel (2023-01-01)This paper presents a novel methodology in the field of Prognosis and predictive Maintenance (PdM) of industrial components. It has been designed as an inclusive PdM approach grounded on flexible strategies capable of ... -
Advanced prognosis methodology based on behavioral indicators and chained sequential memory neural networks with a diesel engine applicat
Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel (01/01/2023)This paper presents a novel methodology in the field of Prognosis and predictive Maintenance (PdM) of industrial components. It has been designed as an inclusive PdM approach grounded on flexible strategies capable of ... -
An online fade capacity estimation of lithium-ion battery using a new health indicator based only on a short period of the charging voltage profile
Álvarez Monteserín, Ignacio; Sanz Bobi, Miguel Ángel (2022-12-31)Currently, the most popular health indicator used to assess the degradation of lithium-ion batteries (LIBs) is the State of Health (SoH). This indicator is necessary to ensure the safety, degradation management, and good ... -
Anomaly detection indicators of a wind turbine gearbox based on feature extraction from its vibration performance
Martínez Montaña, Miguel; Sanz Bobi, Miguel ÁngelThis paper proposes a method for obtaining several health condition indicators for wind turbines based on vibration data driven from two similar experimental turbines (damaged and healthy). These indicators are able to ... -
Anomaly detection method based on the deep knowledge behind behavior patterns in industrial components. Application to a hydropower plant
Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel; Welte, Thomas Michael (2021-02-01)This paper describes a new methodology that aims to cover a gap detected in the area of detection of anomalies and diagnosis of industrial component behaviors: there is a need of robust procedures compatible with dynamic ... -
Anomaly detection method based on the deep knowledge behind behavior patterns in industrial components. Application to a hydropower plant
Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel; Welte, Thomas Michael (2020-12-26).