Abstract
Creation of monitoring system will improve technical resources of mining equipment. The tasks relevant to accuracy of monitoring must be resolved, since the accuracy is very important in analysis of impact impulses and vibration, which provide for diagnostics of bearings, appears in the problems with reduction gears, unbalances, misalignments in mining engineering. Algorithmic correlation technique must be applied to achieve maximum quality of the signal and definite spectrum for further analysis. The task of determination of elasticity characteristics of high-capacity synthetic mining ropes is actual. Precision is the most important and decisive product-quality index. When solving the tasks of diagnostics the requirements to the precision of measuring devices are tighten by 1.5-1.6 times every year. In this connection measuring systems integrated into the net-communications of the mining in Estonia, become more and more necessary. Risk analysis in the mining industry is very important, but it is difficult oneself to limit only to the theoretical approaches considered in the article [1-3]. The problem that is a difficult decision for most companies is when to buy their own equipment, when to use outside contractors. It is difficult to choose diagnostic equipment to increase the efficiency of technical resources. The purpose of this paper is to give a practical idea of how to determine the need for predictive maintenance investments through actual observations on site.
Highlights
System for the condition monitoring: Creating of the system for the condition monitoring of the equipment in the mining industry will be ensure the reliability of technical resources and the quality of the maintenance
The main task is to provide for more accurate forecast of the mining equipment safety of operation based on the modern methods of diagnostics application
We demonstrate the possibilities offered by differential algebra method to enhance the information from noisy vibration signal
Summary
System for the condition monitoring: Creating of the system for the condition monitoring of the equipment in the mining industry will be ensure the reliability of technical resources and the quality of the maintenance. It is necessary to developing software, thereby applying information technology in mining industry.To collect diagnostic information one can use a vibrating stand (see Fig.1) for recognition of equipment node state [4]. If the expected frequency of vibration at a given speed is 11.9 Hz, the duration of one rotation of the shaft (300 ms) is 3.57 times the vibration signal time. At this sampling frequency of vibration signals, it is difficult to diagnose faults in bearings. For more accurate registration of impact loads at low shaft speeds a program was created that allows recording the impact load every millisecond (see Fig.[2, 3]).
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