MONEDERO GOICOECHEA , Iñigo Luis

Manual analysis of electrocardiogram (ECG) signals is a laborious and prone-to-error task, even for a specialist with many hours of experience. For this reason, research on automatic ECG diagnosis is widespread in the literature and continues to grow each year. The present paper describes a novel and fully functional expert system for automatic...

En la actualidad se considera oportuno llevar a cabo actuaciones encaminadas a cuantificar y clasificar las perturbaciones en las redes de suministro eléctrico. Esto es debido fundamentalmente a la reciente expansión de la automatización industrial así como de los equipos electrónicos, lo cual, por un lado, ha aumentado el número de...

Ground testing is an essential, but also expensive, process performed by the Airbus Defence and Space Company (Airbus DS) in the manufacturing cycle of an aircraft. Thus, this process involves a large number of company staff and a significant amount of resources. Consequently, both staff work hours and resource usage imply significant costs,...

The management of modern telecommunications networks must satisfy ever-increasing operational demands. Operation and quality service requirements imposed by the users are also an important aspect to consider. In this paper we have carried out a study for the improvement of intelligent administration techniques in telecommunications networks....

En este artículo se describe un Sistema Experto médico para la Diagnosis de la Diarrea Crónica (SEDDIC) y el proceso de desarrollo llevado a cabo con la herramienta de programación de sistemas expertos CLIPS. Con el proyecto SEDDIC se pretende mostrar la gran utilidad de CLIPS y demás herramientas de libre distribución en la realización de...

An effective modeling technique is proposed for determining baseline energy consumption in the industry. A CHP plant is considered in the study that was subjected to a retrofit, which consisted of the implementation of some energy-saving measures. This study aims to recreate the post-retrofit energy consumption and production of the system in...

Cyber-physical systems (CPS) constitute a promising paradigm that could fit various applications. Monitoring based on the Internet of Things (IoT) has become a research area with new challenges in which to extract valuable information. This paper proposes a deep learning classification sound system for execution over CPS. This system is based...

Telecommunication networks have evolved over time as a result of technological advances, and network topologies and equipment have become increasingly complex. Expert systems are being successfully applied to the management of telecommunication networks. However, applying expert systems to network design is another especially beneficial yet...

Power Quality is defined as the study of the quality of electric power lines. The detection and classification of the different disturbances which cause power quality problems is a difficult task which requires a high level of engineering expertise. Thus, neural networks are usually a good choice for the detection and classification of these...

The management of modern telecommunication networks is a complex and intensive task that requires the assimilation of vast amounts of information and knowledge management. The significance of management networks is growing, and more advanced techniques are needed to support these activities. It is necessary to develop new models that offer more...

The failures (known in the terminology of the Airbus DS Company as "incidences") in the test process of an aircraft create delays and costs for the company. Our team from the Electronic Technology Department (Spain) worked with the Airbus DS Company and developed a framework for incidence prediction from a data mining process. Specifically, the...

This paper presents a study of the most suitable ground test equipment for the Airbus A400M aircraft aimed at optimizing a design that combines portability, flexibility, and configurability. The study is based on current trends in the configuration of the different parts that are involved in the process of designing Aircraft Interface Modules...

This paper describes a currently project accomplished by the authors in the area of Power Quality (PQ) using artificial neural networks (ANN). The efforts are oriented to obtain a product (Power disturbances monitor for threephase systems) that permits a real time detection, automatic classification, and record process of impulsive or...

Energy is the most important cost factor in the petrochemical industry. Thus, energy efficiency improvement is an important way to reduce these costs and to increase predictable earnings, especially in times of high energy price volatility. This work describes the development of an expert system for the improvement of this efficiency of the...

Datamining has become increasingly common in both the public and private sectors. A non-technical loss is defined as any consumed energy or service which is not billed because of measurement equipment failure or ill-intentioned and fraudulent manipulation of said equipment. The detection of non-technical losses (which includes fraud detection)...

Meter tampering is defined as a fraudulent manipulation which implies a service that is not billed by a utility company. It is a lack of consumption control for the utility company and a main problem because they represent an important loss of income. We have developed a methodology consists of a set of three algorithms for the detection of...

Despite the industrial sector accounts for about a quarter of total final consumption worldwide and great efforts have been carried out to reduce its energy use in the last decades, there are still substantial oppor tunities to improve industrial energy efficiency. Among those opportunities, energy management sys tems (EMSs) are one of the most...

Clustering in energy markets is a top topic with high significance on expert and intelligent systems. The main impact of is paper is the proposal of a new clustering framework for the automatic classification of electricity customers' loads. An automatic selection of the clustering classification algorithm is also highlighted. Finally, new...

Currently, power distribution companies have several problems that are related to energy losses. For example, the energy used might not be billed due to illegal manipulation or a breakdown in the customer's measurement equipment. These types of losses are called non-technical losses (NTLs), and these losses are usually greater than the losses...

The rapidly growing world energy use already has concerns over the exhaustion of energy resources andheavy environmental impacts. As a result of these concerns, a trend of green and smart cities has beenincreasing. To respond to this increasing trend of smart cities with buildings every time more complex,in this paper we have proposed a new...

Currently industrial information provides even more granular information through unit and equipment databases, which provide details about installed equipment, including models, designed capacity, throughput, and start up/shutdown dates for turbines, generators, refining equipment, etc. All these data and information are stored in digital...

In a naphtha distillation process, the natural objective is to perform an entire process maximization of the production rate while meeting required product qualities by searching for an optimal operating condition by manipulating the operating variables. The objective of this paper includes performing an energy process optimization. Not only is...

The energy efficiency of industrial plants is an important issue in any type of business but particularly in the chemical industry. Not only is it important in order to reduce costs, but also it is necessary even more as a means of reducing the amount of fuel that gets wasted, thereby improving productivity, ensuring better product quality, and...

The study of the quality of electric power lines is usually known as Power Quality. Power quality problems are increasingly due to a proliferation of equipment that is sensitive and polluting at the same time. The detection and classification of the different disturbances which cause power quality problems is a difficult task which requires a...