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The article discusses results of the laboratory experiments in which fuel injectors used in indirect injection internal combustion engines were tested. During the experiments, numerous dosing cycles of the injectors were performed while changing the control parameters, due to which, the dosing characteristics were developed and influence of applied parameters on the resultant fuel flow determined. Simultaneously, the voltage and electric current waveforms in the injector coil were recorded, due to which finding links between the electric current characteristics and the determinants of the injector work was possible. The investigation has shown that parameters of electric current constitute a precise criterion for assessing the operation of the solenoid valve, because fuel flow is created due to the work ofelectric current. Thus, by observing the changes in the current flowing through the valve coil,it is possible to monitor precisely the correctness of the process of opening the flow and the electric current intensity, at which the flow began and to determine the mechanical quantities such as fuel dose and pressure. As a result, a characteristic is developed, that provides the links between the fuel pressure and the electric current at the point of lifting the needle, which is quite a novel approach. Such a characteristic can be used in diagnostics and control of fuel injectors as well as all kinds of electromagnetic valves

The article discusses the method of evaluation of the fuel injector operation based on the observation of the electric current parameters, which were measured with a current transducer using the Hall effect, during the dosing process. This method relies on comparison of the electric current-related values of the examined injector with the model characteristics, which are representing the properly functioning injector. A model of the fuel injector in the form of the electric current waveform that describes the changes in the electric current and voltage during its work is presented in this article. Complex equations describing the fuel injector model under discussion account for the characteristics of the current variations, with no damage-induced modifications. Due to these, the modeled electric current/voltage waveform mirrors the real conditions. The use of a mathematical model describing the voltage–current phenomena occurring during the injector operation allows determining the actual beginning and duration of the injection. The model can also be used to develop new injector diagnostic methods that can be implemented in the engine controller (ECU).

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The complexity and diversity of civil engineering structures impose requirements on the monitoring systems, which are difficult to be satisfied. In the paper the concept of the distributed diagnostic system capable of monitoring the technical state of critical elements of large infrastructure objects like steel trusses, supermarket buildings, exposition halls, bridges etc. is discussed. Adaptation of such systems is essential for online assessment of technical state of the infrastructure objects and could limit the possibility of catastrophic disasters with loss of people. As a source of information data from strain gauges, passive magnetic field sensors and acceleration sensors applied to the construction are considered. For the process of selection of sensors and diagnostic methods the mathematical model of the construction and the physical test stand were used.

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The active support of a large-scale structure, made up of two elements was designed and manufactured. The first of them - piezoelectric actuator, enables the simulations of vibrations transferred from the ground to the structure. In order to minimize vibrations transmitted through the ground to the construction, the second element of the active support - a system based on magnetorheological dampers was used. The active support enables the simulations of vibrations from the ground using a piezoelectric stack controlled in a reverse feedback loop. Control signals of the feedback loop are: the volume of deformation and vibrations in the selected structures node.

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