The paper deals with the Vold-Kalman (VK) multiorder tracking filter. The basic principle of the Vold-Kalman (VK) order tracking filter for only one sinusoidal component of a signal was published many times while an algorithm of tracking more than one harmonic component was not published yet. It is assumed that the frequency of the tracked component is known for each sample of the signal. The multiorder tracking filtration allows the decoupling of the crossing or close orders, i.e. two harmonic signals which are differing in frequency except a certain time moment when both signals can have the same frequency. The analytical calculation method can track only one or two orders, while the PCG method provides a tool for simultaneous decoupling of more than the two orders.
In the paper, a structural analysis approach to identify most relevant variables its interrelations, components or subsystems of ship's diesel propulsion process with inherent redundant information has been proposed. Existing redundant relations could be used in cases of sensor faults to increase fail-operational performance. Sensor information fusion method was chosen to be based on using artificial neural networks. The paper presents effective artificial neural network structure for on-line estimation of faulty sensor signal by means of information fusion. Simulation have been carried out in Matlab-Simulink environment with marine diesel engine speed sensor fault example. Good practical estimation results were obtained using related engine working data.
This work prersentts parameters of drilling and blasting procedures during exavation of tunnels Gric and Mala Kapela. The tunnels are being constructed according NAMT in two parallel tubes. Measurement of sismic effects are performed in profile of tunnel tube parallele to tube with blasting field on closest distance. Four measurements points are distributed along the periphery of parallel tube on that profile. By comparsion of blasting technological parameters heve been defined concerning duration of blasting working cycle, progress, tunnel category and seismic effects of blasting on the system of underconstruction of the parallele tunnel tube.
Diesel propulsion plant for large ships is very complex, high risk process with strong demands on its reliability and availability. The most important information and data about plant dynamic behaviours during normal and faulty operation needed for diagnostic and control system are collecting from sensors, so their fail-operational feature is of very importance to overall plant reliability. An effective scheme in sensor faults detection and identification within marine diesel propulsion plant using on-line estimation method is given in the paper. The noise in sensor signals is taken into consideration. Simulation example of diesel engine speed sensor fault detection method based on measured and estimated signal values is presented. The Kalman filtering is used. Simulation results have shown good effectiveness of proposed scheme in engine speed sensor faults detection.
Nowadays, the preservation and improvement of the quality of water, air and soil in the complete system of environmental protection is attended with great care. The most frequent objections in the use of fossil fuels in power plants are directed towards the emission of harmful matters, especially if the thermoenergetic plants are situated in the immeditate neighbourhood or within urban areas. In this paper a review of material particle emissions and emissions of SO2, NOX, CO2, from units of the Croatian Energetic System fed by mazout, gas, and coal has been given. As example, the production flowsheet of the Zagreb Power and Heating Plant (ZPHP) has been investigated, the emission points, from the moment of fuel receptance up to its burning in the boiler, i.e. to the atmospheric gas exhaust, have been identified. Law regulations, control system and the present protecting measures have been described and suitable improvement suggestions proposed.
