A Bio-inspired knowledge system for improving combined cycle plant control tuning

Calvo-Rolle, José Luís; Corchado, Emilio

doi:10.1016/j.neucom.2013.01.055

Cited by 32 publications

(6 citation statements)

References 44 publications

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“…For example, a use of QCM [15] to control the oil degradation is explained in [9]. Other papers like [8] and [23] use the vibration analysis to monitor a self-levitating bearing. The monitoring task of solar thermal fluid transfer systems is carried out using Neural Network based models and rule based techniques in [24].…”

Section: Fault Detectionmentioning

confidence: 99%

“…Intelligent Systems are being used to solve or optimize several problems on engineering fields nowadays [7,6]. Some researches have been made with the aim of improving a system performance, because classical methods, like the applications based on PID controller [2], are not capable of solving this task.…”

Section: Intelligent Systemsmentioning

confidence: 99%

“…shows through a block diagram, the different components of the thermal section and their interconnections. Overall, the thermal installation can be divided into 3 functional groups:• Generation group: Solar thermal (1), biomass boiler (2) and geothermal (3).• Energy accumulation group: Inertial accumulator (5), solar accumulator (4) and preheating (8).• Consumption group: Underfloor heating (6) and DHW(7).…”

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confidence: 99%

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An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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The heat pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is an element with high probability of failure due to the fact that it is an outside construction and also due to its size. In the present study, a novel intelligent system was designed to detect faults on this type of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements of one year. It was based on classification techniques with the aim of detecting failures in real time. Then, the model was validated and verified over the building; it obtained good results in all the operating conditions ranges.

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Section: Fault Detectionmentioning

confidence: 99%

Section: Intelligent Systemsmentioning

confidence: 99%

mentioning

confidence: 99%

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An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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“…The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct, or react to the situations associated with them. Anomaly detection has extensive use in a wide variety of applications such as fraud and intrusion detection [1], fault detection in safety critical systems [2], finance [3] or industrial systems (see [4,5] for surveys on this topic).…”

Section: Introductionmentioning

confidence: 99%

Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application

Martí

Sánchez-Pi²,

Molina

et al. 2014

Advances in Intelligent Systems and Computing

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Abstract. Anomaly detection is the problem of finding patterns in data that do not conform to expected behavior. Similarly, when patterns are numerically distant from the rest of sample, anomalies are indicated as outliers. Anomaly detection had recently attracted the attention of the research community for real-world applications. The petroleum industry is one of the application contexts where these problems are present. The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct, or react to the situations associated with them. In that sense, heavy extraction machines for pumping and generation operations like turbomachines are intensively monitored by hundreds of sensors each that send measurements with a high frequency for damage prevention. For dealing with this and with the lack of labeled data, in this paper we propose a combination of a fast and high quality segmentation algorithm with a one-class support vector machine approach for efficient anomaly detection in turbomachines. As result we perform empirical studies comparing our approach to other methods applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection.

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“…While in closed systems, a central trusting entity ensures privacy through an exhaustive control of identities and information exchanges, in open systems this trusting responsibility lies with participants. This is the case of distributed and open systems, often implemented as a collection of bio-inspired knowledge systems such as [2], also called agents. Interactions may then have the final intention of propagating reputation of agents in order to decide which agent to trust in.…”

Section: Introductionmentioning

confidence: 99%

Privacy Protection in Trust Models for Agent Societies

Carbó

Pedraza

López

et al. 2014

Advances in Intelligent Systems and Computing

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Abstract. In this paper we have motivated the use of privacy-protection measures in trust models, both in conscious exchanges of opinions and in an unconscious way when security attacks take place. Most of the privacy dimensions are concerned into trust communications. In particular we define the privacy rights that these trusting communications must legally be guaranteed. From them, we describe additional message exchanges that, acting as control mechanisms, would be required to exercise such rights. Furthermore, we also enumerated the corresponding privacy violations that would have taken place if these control mechanisms were ignored. From the possible existence of privacy violations, regulatory structures may establish what agents are allowed and forbidden to do according to the legal privacy rights. We have applied the control mechanisms as additional message exchanges to a particular application domain (the Agent Trust and Reputation testbed) implemented as JADE interaction protocols, and finally we plan to define an Electronic Institution that would rule the corresponding norms and violations to such control using the Islander specification tool.

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A Bio-inspired knowledge system for improving combined cycle plant control tuning

Cited by 32 publications

References 44 publications

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application

Privacy Protection in Trust Models for Agent Societies

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