Browsing by Author "0000-0001-5192-8587"

A comparative study of techniques utilized in analysis of wind turbine data

Mazidi, Peyman; Mian, Du; Sanz Bobi, Miguel Ángel

Power produced by a wind turbine is dependent on many factors with different importance degrees. Main factors can be found by a thorough analysis of all the factors and their correlation and impact on the main output. ...

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 (01/10/2017)

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 neural-based model for fast continuous and global robot location

Sánchez Miralles, Alvaro; Sanz Bobi, Miguel Ángel (01/07/2006)

No disponible / Not available

A new methodology of fault location for predictive maintenance of transmission lines

Renatha N. da Silva, Paula; Max L.C. Negrão, Martín; Vieira Júnior, Petrônio; Sanz Bobi, Miguel Ángel (01/11/2012)

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 Ángel

In 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 (01/10/2011)

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 ...

An incipient fault detection system based on the probabilistic radial basis function network. Application to the diagnosis of the condenser of a coal power plant

Muñoz San Roque, Antonio; Sanz Bobi, Miguel Ángel (01/12/1998)

This paper introduces the probabilistc radial function network (PRBFN) and a new incipient fault detection system based on it. The PRBFN is a neural network model able to estimate I/O mappings and probability density ...

Anomaly detection indicators of a wind turbine gearbox based on feature extraction from its vibration performance

Martínez Montaña, Miguel; Sanz Bobi, Miguel Ángel

This 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 indicators for Kaplan turbine components based on patterns of normal behavior

Sanz Bobi, Miguel Ángel; Welte, Thomas Michael; Eilertsen, Lasse

This paper describes and proposes some indicators for continuous monitoring of anomalous conditions in the hydraulic system of a Kaplan turbine using SCADA data. The indicators are based on significant deviations between ...

Application of clustering methods for discovering patterns of energy use in regional areas for the residential sector

Gelabert Costacurta, Laura; Sanz Bobi, Miguel Ángel

Today the wide and increasing implementation of smart meters on the household level is making it possible to better know the use of electricity by residential consumers. This contributes to improving the quality of the ...

Asset management overview focusing on fault detection in industrial processes - A state of the art

García Matos, Jesús Ángel; Sanz Bobi, Miguel Ángel; Muñoz San Roque, Antonio (01/04/2013)

The current energetic and economic context brings the need of a proper management of power generation facilities and components. This paper is intended to provide a wide view of the state of the art in asset management, ...

Auto-regressive processes explained by self-organized maps: application to the detection of abnormal behavior in industrial processes

Brighenti, Chiara; Sanz Bobi, Miguel Ángel (12/12/2011)

This paper analyzes the expected time evolution of an auto-regressive (AR) process using self-organized maps (SOM). It investigates how a SOM captures the time information given by the AR input process and how the transitions ...

Behavior anomaly indicators based on reference patterns - application to the gearbox and electrical generator of a wind turbine

Gil Ramil, Ángel; Sanz Bobi, Miguel Ángel; Rodríguez López, Miguel Ángel (01/01/2018)

This paper presents indicators of non-expected behavior in components of a wind turbine. These indicators are used to alert about the working conditions of these components that are not usual, according to the normal ...

Calificación cualitativa del estado de salud de un aerogenerador de un parque eólico a través del análisis de su curva de potencia y factores que influyen en ella

Carmona Sanz, Mar (2016)

Es evidente que las energías renovables son cada vez más demandas en el sistema eléctrico actualmente. Concretamente la participación de la energía eólica está aumentando a gran escala. No obstante, es una vía de generación ...