Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Amid Bakhtazad"'
Publikováno v:
Computers & Chemical Engineering. 25:1549-1559
A robust filtering methodology is proposed that reliably preserves the information encapsulated in a process signal corrupted with noise and outliers. The method is proven to be effective on benchmark examples and implemented successfully in real-tim
Publikováno v:
Computers & Chemical Engineering. 24:769-775
This paper addresses the detection of abnormal process situations during plant operation via an effective trending strategy. Wavelet-domain hidden Markov models (HMMs) are exploited as a powerful tool for statistical modeling and processing of wavele
Publikováno v:
Control Engineering Practice. 8:657-663
This paper presents a strategy to represent and classify process data for detection of abnormal operating conditions, focusing on a novel approach in de-noising of process data using wavelet coeffiCIents. A case study features two Continuous Stirred
Publikováno v:
Intelligent Data Analysis. 3:267-285
The recovery of process information from noisy data de-noising is studied by investigating the classical solution of the estimation problem first. Next, the effectiveness of wavelet-based algorithms for data recovery is considered. A novel method bas
Autor:
Jose A. Romagnoli, Amid Bakhtazad
Publikováno v:
Wavelet Applications in Signal and Image Processing VII.
In this paper, the recovery of noisy process data or de- noising using wavelets is studied. In addition, the effectiveness of some wavelet-based modern algorithms of process data recovery is experimented. A novel approach in de-noising according to t