The control of the left hepatic vein (LHV) and the common trunk of the LHV and the middle hepatic vein (CT) is considered difficult during liver resections and could be facilitated by detailed knowledge of the ligamentum venosum Arantii (LV). The aim of the study was to describe the LV and its relations to the LHV and the CT. The results showed that LV dissection facilitated and enabled the extraparenchymatous control of the hepatic veins: the extrahepatic parts of the LHV and CT measured more than 3 mm in 86% and 84% of the cases, respectively.
COBISS.SI-ID: 3782251
The vehicle simulator models systems on the vehicle, including suspension, powertrain, braking and steering system. The models are incorporated into a software application with visualization in a virtual 3D enviroment, which can simulate a wheeled vehicle of various configurations with up to eight wheels in real time. The simulation models also control actuators of a haptic interface to provide motion and force feedback. The system was verified by measurements on real vehicles. The results correspond well, making the system usable for studying different aspects of vehicle performance.
COBISS.SI-ID: 11310875
With to the purpuse of detecting incipient failures in large-size low-speed rolling bearings, a new multivariate and multiscale statistical monitoring method was developed. The developed method, which combines the Principal Component Analysis (PCA) and the Ensemble Empirical Mode Decomposition (EEMD) method, was called EEMD-MSPCA. The efficiency of the developed method was verified on a purpose-built laboratory test stand. The fact that the developed method is able to identify local bearing defect of a very small size indicates that the method ensures high reliability bearing fault detection.
COBISS.SI-ID: 11450395
The article presents a novel non-linear multivariate and multiscale statistical process monitoring and signal denoising method which combines the strengths of the Kernel Principal Component Analysis (KPCA) non-linear multivariate monitoring approach with the benefits of Ensemble Empirical Mode Decomposition (EEMD) to handle multiscale system dynamics. The proposed method which enables dealing with complex even severe non-linear systems with a wide dynamic range was named the EEMD-based multiscale KPCA (EEMD-MSKPCA). The method is quite general in nature and could be used in different areas for various tasks even without any really deep understanding of the nature of the system under consideration. Its efficiency was first demonstrated by an illustrative example, after which the applicability for the task of bearing fault detection, diagnosis and signal denosing was tested on simulated as well as actual vibration and acoustic emission (AE) signals measured on a purpose-built large-size low-speed bearing test stand. The positive results obtained indicate that the proposed EEMD-MSKPCA method provides a promising tool for tackling non-linear multiscale data which present a convolved picture of many events occupying different regions in the time-frequency plane.
COBISS.SI-ID: 11953179
A new, fast and flexible, time-dependent, one-dimensional numerical model was developed in order to study in detail the operation of an active magnetic regenerator (AMR). The model is based on a coupled system of equations (for the magnetocaloric material and the heat-transfer fluid) that have been solved simultaneously with the software package MATLAB. The model can be employed to analyze a wide range of different operating conditions (mass-flow rate, operating frequency, magnetic field change), different AMR geometries, different magnetocaloric materials and heat-transfer fluids, layered and single-bed AMRs, etc. This paper also presents optimization of the AMRA news geometry, where the AMR consists of a packed-bed of grains (spheres) of gadolinium (Gd). The optimization of the mass-flow rate and the operating frequency of the AMR were performed by studying five different diameters of Gd spheres.
COBISS.SI-ID: 11935003