This paper presents the basic ideas for programming the maintenance of complex technical systems, which is a set of rules for determining the diagnostic mode of the constituent parts of the system in the actual exploitation process and decision making regarding the need for their replacement or on the extent of the necessary maintenance based on the information of the actual technical condition of the system. Assuming that the condition based maintenance is, in fact, the management system of the technical state of the system in the exploitation process, upon choosing the strategy for the condition based maintenance we have performed an analysis of the applicability of formed variants of the maintenance programme and evaluated their efficiency by comparing them with basic indicators (for corrective and preventive maintenance). We have pointed out the importance of using the described maintenance programme to increase reliability level and decrease the stagnation of technical systems, which results in high efficiency, and thus increases the productivity of companies where the systems have been installed.
With more than 27% of the final heat demand in Europe consumed by the industrial sector, solar heat for the industrial process is one of the hottest topics nowadays, leading to many initiatives to make pilot projects in central and southern Europe. This paper analysed two analytical methods to optimise the essential working parameters (solar collectors, glycol ratio, volume flow rate, relative tank capacity, and tank height/diameter ratio) in a pasteurising plant located in Budapest, Hungary. The first method is an analytical approach to determine the optimum values considering the other variables at fixed levels. In contrast, the other one is linear modelling using response surface method RSM and R script coding program to identify the most influential factors using Pareto plots and then discussing the most important two factors' interactions. This research aims to identify which method is better for optimising solar heat for industrial (SHIP) systems. The paper compares the previously mentioned methods, and the results are compared with the results from the other authors. As a result, all factors showed similar magnitudes in both methods except for relative flow rate which was neutral in the analytical method and positive in the RSM.
This paper analyses the process of improving the efficiency of a CNC lathe by performing experiments which involve the machining of plastics as well as programming of a fuzzy logic controller (FLC) for the required machining conditions to obtain the optimal factors of the cutting regime. The programming involved three characteristic input values and one output value while the experimental results involved generating the main cutting force and the temperature in the cutting zone during the machining on the CNC lathe. The expected results of the adapted FLC are based on the complete autonomy of the process and elimination of subjective errors. Keywords: CNC lathe, machining of plastics, fuzzy logic controller (FLC) V~lanku avtorji opisujejo analizo, ki je omogo~ala izbolj{anje u~inkovitosti mehanske obdelave na ra~unalni{ko numeri~no krmiljeni (CNC) stru`nici. Preizkuse stru`enja so izvajali na izbranih vzorcih industrijske plastike, pri~emer so izvedli programiranje na osnovi regulatorja zabrisane logike (FLC) za zahtevane pogoje mehanske obdelave tako, da so dosegli optimalne pogoje re`ima rezanja. Programiranje je vklju~evalo tri karakteristi~ne vhodne vrednosti in eno izhodno vrednost, medtem ko so eksperimentalni rezultati vklju~evali generiranje glavne oz. povpre~ne rezalne sile in temperaturo plastike v coni rezanja med mehansko obdelavo na CNC stru`nici. S prilagoditvijo procesa na FLC so dosegli pri~akovane rezultate: popolno avtonomijo procesa stru`enja in odstranitev vseh subjektivnih napak. Klju~ne besede: CNC stru`nica, mehanska obdelava plastike, regulator zabrisane logike (FLC)
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