Analytical Comparison Among Oceanographic Instruments Operations

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

An Investigation of the Wiener Approach for Nonlinear System Identification Benchmarks

We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark problems. Two different approaches are proposed for parameter estimation. The results are compared for three problems, i.e. Silver Box, Wiener-Hammerstein, and Wiener-Hammerstein with noise. The aim is to evaluate the capability of the algorithms on the other benchmark problems in future works as well

Friction Coefficient (F)-Reynolds Number (Re) Relationship in non-cohesive suspended sediment laden flow through pervious rockfill dam.

Recently pervious rockfill detention dam is used as a flood mitigating structure. Analysis of hydraulics of turbulent flow through this kind of dam is mostly done using Darcy-Weisbach equation. So far, many attempts have been made to study the friction coefficient as a function of Reynolds Number in turbulent flow of clean water through pervious rockfill detention dams, while this subject has remained intact for sediment laden flow of water. In this paper relationship between friction coefficient and Reynolds Number for sediment laden flow through highly pervious rockfill dams was investigated. Required data for a regression analysis obtained by conducting a series of laboratory tests to calibrate and validate a proposed power law friction coefficient-Reynolds Number relationship. A changeable bed slop Plexiglas flume, an adjustable rate sediment feeder and a recirculating flow electro pump system were used in present study. The tests were carried out on four different rectangular laboratory rockfill dams and three different non-cohesive suspended sediments. A power law relationship was obtained with a correlation coefficient of 0.74 using two thirds of laboratory measured friction coefficient and Reynolds Number. The obtained relationship was validated employing the remaining unused data with a Mean Square Error of 0.29 which is an acceptable agreement. A new power law relationship was found between friction coefficient and Reynolds Number in sediment laden flow through pervious rockfill dams. This new relationship is the only one thus has been proposed for the sediment laden flow of water through pervious rockfill dams

Critical hydraulic gradient of non-cohesive suspended sediment laden flow through pervious rockfill dam

Clogging of pore spaces of pervious rockfill detention dam during passage of suspended sediment laden flow through it, is one of the important issues which has been studied by some of researchers. Further study is still needed to achieve generable results to the real field condition. In this research we investigated semi empirically the initiation of sediment particle motion inside the pervious rockfill dam by conducting laboratory experiments alongwith dimensional analysis. A series of larger scale laboratory tests than previous studies has been conducted to collect experimental data. A dimensional analysis has been performed including all of effective hydraulic and physical parameters especially inertia of flow and rockfill characteristics. Applying of inertia of flow and rockfill characteristics have been done to the previously proposed formula for laminar flow to improve and make it applicable for turbulent flow through pervious rockfill dams. The derived equation has been calibrated using a linear regression analysis with a correlation coefficient (R2) of 0.92. It has been validated with a mean square error (MSE) of 4.46E-05 and correlation coefficient of 0.94 utilizing its predicted critical hydraulic gradient versus laboratory measured critical hydraulic gradient. The validation showed a good agreement between predicted and measured critical hydraulic gradients. This equation also compared with the equations proposed by two other researchers and the results indicated a better agreement of predicted critical hydraulic gradients by the derived equation in this study to the measured values than by two other equations. The correlation coefficients and mean square errors of the present study's and two other formulas were respectively, 0.94 and 4.46E-5, 0.75 and 0.0003, 0.48and 0.0293.The proposed formula in this study should be a guide for hydraulic engineers to design pervious rockfill detention dam such a way that no clogging of pore spaces take place during sediment laden floods

Robust detection of translocations in lymphoma FFPE samples using targeted locus capture-based sequencing

Preservation of cancer biopsies by FFPE introduces DNA fragmentation, hindering analysis of rearrangements. Here the authors introduce FFPE Targeted Locus Capture for identification of translocations in preserved samples.In routine diagnostic pathology, cancer biopsies are preserved by formalin-fixed, paraffin-embedding (FFPE) procedures for examination of (intra-) cellular morphology. Such procedures inadvertently induce DNA fragmentation, which compromises sequencing-based analyses of chromosomal rearrangements. Yet, rearrangements drive many types of hematolymphoid malignancies and solid tumors, and their manifestation is instructive for diagnosis, prognosis, and treatment. Here, we present FFPE-targeted locus capture (FFPE-TLC) for targeted sequencing of proximity-ligation products formed in FFPE tissue blocks, and PLIER, a computational framework that allows automated identification and characterization of rearrangements involving selected, clinically relevant, loci. FFPE-TLC, blindly applied to 149 lymphoma and control FFPE samples, identifies the known and previously uncharacterized rearrangement partners. It outperforms fluorescence in situ hybridization (FISH) in sensitivity and specificity, and shows clear advantages over standard capture-NGS methods, finding rearrangements involving repetitive sequences which they typically miss. FFPE-TLC is therefore a powerful clinical diagnostics tool for accurate targeted rearrangement detection in FFPE specimens.Immunobiology of allogeneic stem cell transplantation and immunotherapy of hematological disease

Nonlinear identification of a gas turbine system in transient operation mode using neural network

In this paper ANN (Artificial Neural Network) identification techniques are developed to estimate a General Electric frame 9, 116MW combined cycle, single shaft heavy duty gas turbine dynamic behaviors during loading process based on available operational data in Montazer Ghaem power plant in Karaj. Related Input and output data are chosen based on thermodynamics and first order linear models. Electrical power and exhaust gas temperature are chosen as system main outputs which can be expressed by fuel flow, shaft speed and compressor inlet guide vanes considering the ambient temperature effects. The operating condition of the gas turbine during identification procedure is considered from full speed no load to full load. Comprehensive results perform that this model outputs is closer to the experimental data than conventional NARX models and can predict system behaviors perfectly

Minimax-LQG control of a flexible plate using frequency domain subspace identified models

In this paper identification and optimal robust Minimax-LQG control design are studied for active vibration control of a flexible plate. Two frequency domain subspace methods including maximum likelihood technique are used to identify the model of the plate. Since the identified models are unstable, an iterative algorithm is applied to stabilize them. The obtained models have a good fitness up to the frequency 220 Hz and this frequency range contains three modes of the flexible plate. These first three modes are selected for control and the rest are chosen as uncertainty. The Chebychev and Yule-Walker filters are designed to model the weighting function of uncertainties for design of Minimax-LQG controller. These weights have a great effect on robust stability and performance of the control system. Simulation results are presented to show the effectiveness of designed controllers for all stabilized identified models and uncertainty weights. The results confirm that the obtained indices for identified models are good measures to predict the performance of the designed controllers based on them

SET membership identification of a lightl damped flexible beam for robust control

The aim of this paper is to identify the nominal model and associated uncertainty bound of a lightly damped flexible beam in order to be utilized in robust controller design methods. Our approach is based on Set Membership theory where the system's uncertainties assumed to be unknown but bounded (UBB). Both parametric and non-parametric uncertainties have been accounted in the robust identification problem. The problem has been solved using Ellipsoidal and Parallelotopic approximation methods

Robust identification of a lightly damped flexible beam using set-membership and model error modeling techniques

The aim of this paper is robust identification of a lightly damped flexible beam model with parametric and non-parametric uncertainties. Our approach is based on worst case estimation theory where uncertainties are assumed to be unknown but bounded. We examine different outbounding algorithms (parallelotopic and ellipsoidal) for estimation of the feasible parameter set that has been delivered by the set membership identification algorithm. In order to proper handling with the high magnitude non-parametric uncertainties the proposed methods are compared and it is shown that the combination of set membership approach with model error modeling techniques will result in superior results