Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Fault detection and isolation in nonlinear systems. Observer and energy-balance based approaches
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Wei Chen
ISBN: 9783838133270
Год издания: 2012
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 124
Издательство: S?dwestdeutscher Verlag f?r Hochschulschriften
Цена: 43107 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли экономики:Код товара: 481658
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: Due to the increasing complexity of modern technical processes, the most critical issues in the design of an automated system nowadays are safety/reliability, higher performance and cost efficiency. Therefore, fault diagnosis is becoming an essential part of modern control systems. Contrary to the well-developed fault diagnosis techniques for linear systems, there is still no systematic solution for nonlinear systems. Since most of real systems are nonlinear in nature, the objective of this thesis is to develop nonlinear observer and energy-balance based fault diagnosis approaches, which achieve a high performance and at the same time reduce the difficulties in the design and application.
Ключевые слова: Observer, Fault detection and isolation, nonlinear system, energy-balance
Похожие издания
Сферы деятельности: Образование A. P. Siva Kumar,Chidananda K and N Pavan Kumar Fault Detection and Isolation in Industrial Processes Based On RNN. Deep Learning Approach. 1905 г., 64 стр., мягкий переплет Deep Learning is a subset collection of Machine Learning concerned where neural network algorithms inspired by human brain learn from large amount of data through several layers for nonlinear transformation, Deep learning domain techniques allows to extract features automatically from the Industrial fault detection dataset. Since it has the strong... | 25124 тг | |
Отрасли экономики: Приборостроение -> Производство электронных компонентов Fabien Meinguet Fault-tolerant permanent-magnet synchronous machine drives. Fault detection and isolation, control reconfiguration and design considerations. 2012 г., 404 стр., мягкий переплет The need for efficiency, reliability and continuous operation has lead over the years to the development of fault-tolerant electrical drives for various industrial purposes and for transport applications. Permanent-magnet synchronous machines have also been gaining interest due to their high torque-to-mass ratio and high efficiency, which make... | 57862 тг | |
Отрасли экономики: Приборостроение -> Производство электронных компонентов Hawraa Fouad Almusawi Sliding Mode Observer Based Robust Fault Detection and Isolation. Fault Detection and Isolation Based on A Hybrid Sliding Mode Observer and Fuzzy Logic. 2016 г., 108 стр., мягкий переплет The early detection and isolation of the faults in a systems be difficult when a failure occurs. This is due to several factors,including the large number of elements which designed such systems and complexity of interdependence which is sometimes difficult to understand. This book has proposed a method more suitable for early detection and... | 22987 тг | |
Отрасли экономики: Промышленность в целом Andrea Monteri? Fault Detection and Isolation for Multi-Sensor Navigation Systems. Model-Based Methods and Applications. 2014 г., 172 стр., мягкий переплет Fault Detection and Isolation (FDI) methods that monitor the navigation system for sensor faults in real-time, can contribute significantly to improve system reliability. Quick detection and isolation of sensor faults can prevent serious damages and irreparable consequences. In this book, remarkable model-based fault diagnosis techniques, such as... | 35300 тг | |
Отрасли экономики: Энергетика и электроснабжение Abd. Essalam Badoud and Mabrouk Khemliche Modeling, Fault Detection and Isolation in Photovoltaic System. . 2013 г., 76 стр., мягкий переплет The use of renewable energy is growing significantly around the world. In front of the growing demand for electricity essentially for the remote and deserted locations needs. Photovoltaic systems, especially water pumping systems, begin to find great applications. Unfortunately these systems have encountered a number of problems even nowadays: a... | 25550 тг | |
Отрасли знаний: Естественные науки -> Астрономия и астрофизика Sheikh Rafik Manihar Ahmed Shahjada,Ekta Shrivastava and Komal Prasad Dewangan Fault detection & isolation unit. A Case Study. 2013 г., 192 стр., мягкий переплет Today all instrumentation system pertaining to industrial process controls as well as domestic application involve automatic fault finding facility. This facility detects the faulty condition of the system and draws operator’s attention towards it enabling him to take suitable remedial action to ensure proper operation of the system. The... | 44518 тг |