Kontakt
Jak kupować
Dostawa
Doradca ds. zakupów
Fault Isolation Using a Reconstruction Algorithm
By Using Auto-Associative Neural Networks
Angielski
121 b
30 dni na zwrot towaru
Klienci kupili także
/
Miękka
58.01
zł
/
Miękka
92.65
zł
Process history based approaches for fault diagnosis has been widely used recently. Principal Component Analysis (PCA) is one of these approaches, which is a linear approach; however most of the processes are nonlinear. Hence nonlinear extensions of the PCA have been developed. Nonlinear Principal Component Analysis (NLPCA) based on the neural networks is a common method which is used for process monitoring and fault diagnosis. NLPCA based neural networks are implemented using different methods, in this book we apply Auto-Associative Neural Networks (AANN) for implementing NLPCA. This work is aimed towards the development of an algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control systems. Also an algorithm is developed for locating the source of the process fault.
Informacje o książce
Angielski
Podaruj tę książkę jeszcze dziś
To łatwe
1 Dodaj książkę do koszyka i wybierz „dostarczyć jako prezent” 2 W odpowiedzi wyślemy Ci bon 3 Książka dotrze na adres obdarowanegoMogłoby Cię także zainteresować
/
Miękka
78.09
zł
/
Miękka
62.73
zł
/
Miękka
28.60
zł
/
Miękka
81.80
zł
/
Twarda
872.04
zł
/
Miękka
669.86
zł
/
Miękka
70.06
zł
/
Adobe ePub DRM
86.22
zł
