Ž . Principal component analysis PCA is a well-known data dimensionality technique that has been used to detect faults Ž . during the operation of industrial processes. Dynamic principal component analysis DPCA and canonical variate analysis Ž . CVA are data dimensionality techniques which take into account serial correlations, but their effectiveness in detecting faults in industrial processes...

This article employs adaptive rank-order morphological filter to develop a pattern classification algorithm for fault diagnosis in benchmark chemical process: Tennessee Eastman process. Rank-order filtering possesses desirable properties of dealing with nonlinearities and preserving details in complex processes. Based on these benefits, the proposed algorithm achieves pattern matching through a...

Tissue sections are prepared and coated with NTB 3 Eastman Kodak emulsion for radioautography in the usual way. After they have been exposed for a suitable time they are processed with no agitation in the following solutions, which must be freshly prepared. Place for 3 min at 24° C in a developer solution which contains per litre 40 g sodium carbonate, 2 g sodium sulphite, 1 g potassium bromide...

This study investigated the influence of changing lower face vertical proportion on the attractiveness ratings scored by lay people.Ninety-two social science students rated the attractiveness of a series of silhouettes with normal, reduced or increased lower face proportions. The random sequences of 10 images included an image with the Eastman normal lower face height relative to total face hei...

Introduction Infectious bovine keratoconjunctivitis (IBK) is caused by a Gram-negative bacterium, Moraxella bovis. It is characterised by acute contagious ophthalmia and it spreads rapidly among cattle in a herd. M. bovis is generally present on the mucous membranes of healthy animals and is considered to be an opportunistic pathogen (Quinn et al., 1994; Gyles and Thoen, 1993). The bacterium is...

This paper presents a new online statistical monitoring based on dynamic independent component analysis (DICA) to detect the Tennessee Eastman challenge process faults. The proposed method employs dynamic feature extraction approach to capture most of the inherent dynamic fault information. This leads to an efficient fault detection with superior performance compared to independent component an...