In the general frame of process surveillance, principal component analysis (PCA) has been often selected due to its simplicity and ability to capture the linear relations between the stationary process variables. However, the method showed limitations when dealing with industrial data that generally presents non-linear and multiscale features. The approach proposed in this study rests on the modelling using non-linear PCA coupled with artificial neural networks (ANNs) to extract the non-linear inter-correlation between variables and on the wavelet analysis to decompose each sensor signal into a set of coefficients at different scales. The contribution of each variable for each scale is then collected in separated matrices and a non-linear PCA model is constructed for each matrix. The proposed approach is applied to fault detection of pollution parameters affecting the region of Annaba in Algeria. The performance of the approach is then illustrated and compared with those of classic PCA and multiscale PCA (MSPCA).
- Inderscience Publishers
- Non-linear multiscale principal component analysis for fault ...
Automating oil particle analysis
Run up to 25 samples at one time The major issue for premature failure in wind turbine gearboxes is bearing failure, which leads to gearbox failure. A wind turbine gearbox will not survive if the oil is not clean and especially if the hard ferrous particles are not removed from around the bearingsThe LaserNet 230 particle counter and ferrous debris monitor has been shown to be an excellent analytical tool forend users to be able to diagnose wear faults in various machine applications such as gear boxes, engines...
The Basics of Slope Stability Analysis for Geosynthetics
Slope stability analysis is vital to preventing slope failures in a variety of engineering applications including landfill design, roads, dams and embankments, to name a few. Proper analysis anticipates both natural and manmade slopes and failure of foundations and retaining walls. This blog covers the necessity of slope stability analysis, how to conduct the analysis and the role of geosynthetics in slope stability. Slope Stability Meets Four Key Objectives The geometry of the slope, incorporated materials,...
TOC Analysis for Standard Methods 5310B: High-Temperature Combustion Method
Introduction Total Organic Carbon (TOC) is a rapid method that analyzes for organic carbon and expresses the result as the amount of carbon found. It is a non-specific method unable to distinguish between various organic species and only indicates that organic carbon compounds are present. Organic carbon analyzers operate by the determination of the amount of total carbon present in a sample aliquot. Total carbon consists of inorganic and organic carbon. The inorganic carbon, present as carbonate or bicarbonate...
Global Analysis of Truncated RNA Ends Reveals New Insights into Ribosome Stalling in Plants
High-throughput approaches for profiling the 5′ ends of RNA degradation intermediates on a genome-wide scale are frequently applied to analyze and validate cleavage sites guided by microRNAs (miRNAs). However, the complexity of the RNA degradome other than miRNA targets is currently largely uncharacterized, and this limits the application of RNA degradome studies. We conducted a global analysis of 5′-truncated mRNA ends that mapped to coding sequences (CDSs) of Arabidopsis (Arabidopsis thaliana), rice...
Total solution: Gas and particulate analysis in Cement industry
Cement plants are increasingly required to install continuous emission monitoring systems (CEMS). While these represent a significant financial outlay, a range of other factors also need to be considered when selecting a suitable CEMS. To the inexperienced, selecting a suitable CEM can mistakenly be considered as simply ensuring that the applicable national regulations (eg MACT in the USA, Industrial Emissions Directive in Europe) are adhered to, with the necessary international quality assurances for the...