International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The goal of this paper is to study algorithm for detection and classification of moving objects based on parameter estimates from their GPS signal shadow. The suggested algorithm uses satellite GPS signals to create radio barriers and to detect moving terrestrial targets. It can be examined as an algorithm for secondary application of the wireless technologies (SAWT). This technology is extremely modern and up-to-date and can find application in Industry 4.0 with regard to the reduction of the electromagnetic radiations. The GPS signals included shadow from several moving vehicles, processed in MATLAB environment in order to obtain the estimations of their parameters. In IBM SPSS Statistics, Scheffe test is used for classifying the moving objects. The results reveal that proposed signal processing of the GPS signal shadow combined with this statistical approach can be successfully applied in practice for object classification.

One of the larger aggregates for production nickel in Feni – INDUSTRIES- Macedonia, is assembly machine mixer 1 and mixer 2. The proper functioning of aggregate depends on the prevention and early detection of damaged parts. Given that the aggregate works non-stop for 24 hours, its failure means termination of operation of furnaces for nickel, and thus the entire production. It means a loss of time, deviation from the production plan, loss of markets and loss of a lot of money. It is a very important to constantly monitor the vital parts rightness. Therefore regularly perform frequency analysis of engine bearings and mixer bearings. Aggregate is composed of: motor, hydro coupling, reducer, mechanics coupling, and mixer.

This paper provides the results of frequency analysis of measured vibration of these parts, compared with limited values and recommendations for quick actions in removing the damaged parts in time periods with the least losses. That means pre timely delivery of bearings, preparation of aggregates for quick repairs with a short downtime. You will also be given a techno – economic analysis to save funds by using this method.