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 Engine Misfire Detection for Green Combustion Automobiles. Robust Algorithms for Engine Misfire Detection
Наименование:

Engine Misfire Detection for Green Combustion Automobiles. Robust Algorithms for Engine Misfire Detection

автор Abedulah A. издательство Книга по Требованию Прочие виды транспорта
Cтраниц 216        мягкая обложка       
Аннотация:The performance of the presented algorithms is superior to other algorithms found in the literature. The first technique for misfire instances detection is based on a weighted Wiener adaptive filtering technique, while the second technique is based on time-frequency. First, it employs a frequency domain pattern classifier to detect and identify the type of misfire pattern, and then it utilizes two different techniques to locate the misfire instances. Current regulations in North America and Europe require engine manufacturers to develop an on-board real time misfire detection system to monitor emissions related systems in automobiles. These regulations create a challenge for the engine manufacturers to develop a low cost on-board real time system. In this book different techniques are presented to design such a system. The overall algorithm consists of two main steps. The overall algorithm is intended to detect the engine misfire pattern type, identify engine misfire instances, the misfiring cylinder(s), and detect the total number of misfire events resulting from each cylinder under various speed and load conditions and misfire patterns.
Автор: Abedulah A.
Издательство: Книга по Требованию
Год:2009
Цена:
3214 руб
Нет в наличии
Поиск: Engine Misfire Detection for Green Combustion Automobiles. Robust Algorithms for Engine Misfire Detection
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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