Giftson samuel (24 risultati)

Paperback. Condizione: Brand New. 01 edition. 88 pages. 8.66x5.91x0.20 inches. In Stock.

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Taschenbuch. Condizione: Neu. Hybrid Intelligent Techniques for Generator Maintenance Scheduling | G. Giftson Samuel | Taschenbuch | 88 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330002166 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condizione: New.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the world-wide consumption of electricity continually increases, more and more pressure is put on the capabilities of power generating systems to maintain their levels of power provision. The electricity utility companies operating these power systems are faced with numerous challenges with respect to ensuring reliable electricity supply at cost-effective rates. One of these challenges concerns the planned preventative maintenance of a utility's power generating units. This book shows different algorithms for solving the generator maintenance scheduling through hybrid intelligent techniques. In the solution algorithm, Hybrid Particle Swarm Optimization based Genetic Algorithm (PSO-GA), Hybrid Particle Swarm Optimization based Evolutionary Programming (PSO-EP) and Hybrid Particle Swarm Optimization based Shuffled Frog Leaping Algorithm (PSO-SFLA) methods are developed by incorporating constraints on maintenance windows, the meeting of load demand together with a safety margin, the availability of maintenance crew and general exclusion constraints. The generator maintenance scheduling s modelled by adopting a reliability optimal criterion, the goal of which is to level the reserve 88 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the world-wide consumption of electricity continually increases, more and more pressure is put on the capabilities of power generating systems to maintain their levels of power provision. The electricity utility companies operating these power systems are faced with numerous challenges with respect to ensuring reliable electricity supply at cost-effective rates. One of these challenges concerns the planned preventative maintenance of a utility's power generating units. This book shows different algorithms for solving the generator maintenance scheduling through hybrid intelligent techniques. In the solution algorithm, Hybrid Particle Swarm Optimization based Genetic Algorithm (PSO-GA), Hybrid Particle Swarm Optimization based Evolutionary Programming (PSO-EP) and Hybrid Particle Swarm Optimization based Shuffled Frog Leaping Algorithm (PSO-SFLA) methods are developed by incorporating constraints on maintenance windows, the meeting of load demand together with a safety margin, the availability of maintenance crew and general exclusion constraints. The generator maintenance scheduling s modelled by adopting a reliability optimal criterion, the goal of which is to level the reserve.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Samuel Dr. G. GiftsonDr. G. Giftson Samuel obtained Ph.D in Power System from Anna University, Chennai, India. He is working as Professor in Department of Electrical Engineering at Sir Issac Newton College of Engineering and Techno.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce the tracking speed and improve efficiency. The BOSS optimization algorithm removes the local optima problem in the conventional salp swarm optimization algorithm by modifying the controlling parameter value, which is not only based on the maximum number of generations but also depends on the characteristics of the problem. The performance of the proposed BOSS-D-RBFN controller is analyzed under dynamic changing irradiance and two different cases of partial shading conditions. Also, the performance of the BOSS-D-RBFN method compared with state-of-the-art methods, including neural network-based MPPT, fuzzy logic-based MPPT, P&O-based MPPT, Incremental conductance, and evolutionary algorithm-based MPPT methods in terms of oscillation percentage, settling and tracking time, maximum power obtained, and efficiency.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce the tracking speed and im.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the world-wide consumption of electricity continually increases, more and more pressure is put on the capabilities of power generating systems to maintain their levels of power provision. The electricity utility companies operating these power systems are faced with numerous challenges with respect to ensuring reliable electricity supply at cost-effective rates. One of these challenges concerns the planned preventative maintenance of a utility's power generating units. This book shows different algorithms for solving the generator maintenance scheduling through hybrid intelligent techniques. In the solution algorithm, Hybrid Particle Swarm Optimization based Genetic Algorithm (PSO-GA), Hybrid Particle Swarm Optimization based Evolutionary Programming (PSO-EP) and Hybrid Particle Swarm Optimization based Shuffled Frog Leaping Algorithm (PSO-SFLA) methods are developed by incorporating constraints on maintenance windows, the meeting of load demand together with a safety margin, the availability of maintenance crew and general exclusion constraints. The generator maintenance scheduling s modelled by adopting a reliability optimal criterion, the goal of which is to level the reserveVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ce livre présente le réseau neuronal à fonction de base radiale profonde basé sur l'apprentissage MPPT pour le module PV afin d'obtenir la puissance maximale. En outre, le D-RBFN est formé à l'aide de l'algorithme proposé BOosted salp swarm optimization (BOSS) afin de réduire la vitesse de suivi et d'améliorer l'efficacité. L'algorithme d'optimisation BOSS élimine le problème de l'optimum local dans l'algorithme d'optimisation par essaim salp conventionnel en modifiant la valeur du paramètre de contrôle, qui n'est pas seulement basé sur le nombre maximum de générations mais dépend également des caractéristiques du problème. Les performances du contrôleur BOSS-D-RBFN proposé sont analysées en cas de changement dynamique de l'irradiation et dans deux cas différents de conditions d'ombrage partiel. En outre, les performances de la méthode BOSS-D-RBFN sont comparées à celles des méthodes de pointe, y compris les méthodes MPPT basées sur les réseaux neuronaux, sur la logique floue, sur P&O, sur la conductance incrémentale et sur les algorithmes évolutionnaires, en termes de pourcentage d'oscillation, de temps de stabilisation et de suivi, de puissance maximale obtenue et d'efficacité.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In diesem Buch wird das lernende neuronale Netz mit tiefer Radialbasisfunktion vorgestellt, das MPPT für PV-Module zur Erzielung maximaler Leistung ermöglicht. Außerdem wird das D-RBFN mit der vorgeschlagenen BOosted-Salp-Schwarm-Optimierung (BOSS) trainiert, um die Nachführgeschwindigkeit zu reduzieren und die Effizienz zu verbessern. Der BOSS-Optimierungsalgorithmus beseitigt das Problem des lokalen Optimums im konventionellen Salp-Schwarm-Optimierungsalgorithmus, indem er den Wert des Kontrollparameters ändert, der nicht nur auf der maximalen Anzahl von Generationen basiert, sondern auch von den Eigenschaften des Problems abhängt. Die Leistung des vorgeschlagenen BOSS-D-RBFN-Reglers wird unter dynamisch wechselnden Bestrahlungsstärken und zwei verschiedenen Fällen von Teilverschattung analysiert. Außerdem wird die Leistung der BOSS-D-RBFN-Methode mit dem Stand der Technik verglichen, einschließlich der auf neuronalen Netzen basierenden MPPT-Methode, der auf Fuzzy-Logik basierenden MPPT-Methode, der auf P&O basierenden MPPT-Methode, der auf inkrementellem Leitwert basierenden MPPT-Methode und der auf evolutionären Algorithmen basierenden MPPT-Methode in Bezug auf den Prozentsatz der Oszillation, die Einschwing- und Nachführzeit, die erzielte maximale Leistung und die Effizienz.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: ? ??????????? ?????? ???? ? ????????? ????? ???????? ??????? ??????????? ? ???????????? ???? ? ??????, ?????????, ????? ????? 16-?????? ???? ???????????? ? ?????????? ????? ???????????? ? ??????? ????????????? ???????? ? ?? ???? . …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - V ätoj knige predstawlena nejronnaq set' s glubokoj radial'noj bazisnoj funkciej, osnowannaq na obuchenii MPPT dlq fotoälektricheskogo modulq s cel'ü polucheniq maximal'noj moschnosti. Bolee togo, D-RBFN obuchaetsq s pomosch'ü predlozhennogo algoritma BOosted salp swarm optimization (BOSS) dlq snizheniq skorosti otslezhiwaniq i powysheniq äffektiwnosti. Algoritm optimizacii BOSS ustranqet problemu lokal'nogo optimuma w tradicionnom algoritme optimizacii roq putem izmeneniq znacheniq uprawlqüschego parametra, kotoryj ne tol'ko osnowan na maximal'nom kolichestwe pokolenij, no i zawisit ot harakteristik zadachi. Rabota predlozhennogo kontrollera BOSS-D-RBFN analiziruetsq w uslowiqh dinamicheskogo izmeneniq osweschennosti i dwuh razlichnyh sluchaew chastichnogo zateneniq. Krome togo, srawniwaütsq harakteristiki metoda BOSS-D-RBFN s sowremennymi metodami, wklüchaq MPPT na osnowe nejronnoj seti, MPPT na osnowe nechetkoj logiki, MPPT na osnowe P&O, inkrementnoj prowodimosti i MPPT na osnowe äwolücionnogo algoritma, s tochki zreniq procenta kolebanij, wremeni ustanowleniq i otslezhiwaniq, maximal'noj poluchennoj moschnosti i äffektiwnosti.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Questo libro presenta una rete neurale a base radiale profonda basata sull'apprendimento di MPPT per il modulo fotovoltaico per ottenere la massima potenza. Inoltre, la D-RBFN viene addestrata utilizzando la proposta BOosted salp swarm optimization (BOSS) per ridurre la velocità di inseguimento e migliorare l'efficienza. L'algoritmo di ottimizzazione BOSS elimina il problema degli ottimismi locali nell'algoritmo di ottimizzazione dello sciame salp convenzionale modificando il valore del parametro di controllo, che non si basa solo sul numero massimo di generazioni, ma dipende anche dalle caratteristiche del problema. Le prestazioni del controllore BOSS-D-RBFN proposto sono analizzate in condizioni di variazione dinamica dell'irraggiamento e in due diversi casi di ombreggiamento parziale. Inoltre, le prestazioni del metodo BOSS-D-RBFN sono state confrontate con quelle dei metodi più avanzati, tra cui l'MPPT basato su reti neurali, l'MPPT basato su logica fuzzy, l'MPPT basato su P&O, la conduttanza incrementale e l'MPPT basato su algoritmi evolutivi, in termini di percentuale di oscillazione, tempo di assestamento e inseguimento, potenza massima ottenuta ed efficienza.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Este livro apresenta a rede neural baseada na aprendizagem da função de base radial profunda MPPT para o módulo PV para obter a potência máxima. Além disso, a D-RBFN é treinada usando a proposta BOosted salp swarm optimization (BOSS) para reduzir a velocidade de rastreamento e melhorar a eficiência. O algoritmo de otimização BOSS elimina o problema de otimização local do algoritmo convencional de otimização por enxame de salpicos, modificando o valor do parâmetro de controlo, que não se baseia apenas no número máximo de gerações, mas também depende das características do problema. O desempenho do controlador BOSS-D-RBFN proposto é analisado em condições dinâmicas de variação da irradiância e em dois casos diferentes de condições de sombreamento parcial. Além disso, o desempenho do método BOSS-D-RBFN é comparado com os métodos mais avançados, incluindo MPPT baseado em redes neuronais, MPPT baseado em lógica difusa, MPPT baseado em P&O, condutância incremental e métodos MPPT baseados em algoritmos evolutivos em termos de percentagem de oscilação, tempo de estabilização e seguimento, potência máxima obtida e eficiência.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: S. AntonyrajS. Antony Raj ist derzeit Forschungsstipendiat an der Anna University in Chennai, Tamilnadu, Indien. Er verfuegt ueber 16 Jahre Lehrerfahrung in technischen Instituten. Er hat in vier internationalen Zeitschriften und fuenf .…