Within this study, resonance phenomenon, which is one of the crucial problems in mechanical constructions, has been analyzed with respect to oil starvation failure in a ball bearing. A unique test rig is designed, constructed, and placed in a laboratory ambience. A ball bearing on the electrical motor, which is a component of the test rig, has been selected for acquisition of data within triple sensing technology in vibration, acoustic, and electrical consumption through testing conditions. The target of that study is condition monitoring of oil starvation fault and resonance fault for comparison of various predictive maintenance methods. The testing was carried out within the electrical frequency of 40.5 Hz, which actuated the electrical motor in order to identify the rotation speed. According to the analyzed results, oil starvation fault and resonance fault is most accurately inspected by vibration analysis.

Electric energy systems need constant modernization and updating to solve such problems as distributed management, self-sealing, improving the quality of electricity, demand management, and integration of renewable energy systems. Currently, energy systems need advanced and intelligent technologies to perform various system-level tasks. The purpose of this research is to analyze the existing control systems of electric energy systems, as well as to consider the possibility of using multi-agent systems to control electric energy systems. To achieve the aim of the research, the following scientific approaches were implemented: method of direct research, experimental method, questioning, comparative method, analysis method, and method of observation. The primary value of the research is in the novelty of the work and the fact, that functional components in multi-agent systems act as independent agents, which can interact with each other through a message communication system. This provides a simple connection between the components, which can benefit complex systems designed for an intelligent network. The intelligent network provides an efficient energy management system, and the modernization of the existing power system using a multi-agent system provides solutions to many problems. The best implementation of a multi-agent system can be achieved through the employment of fast and protected communication protocols. The authors of the research have conducted research and presented key statistical data on electricity usage in Kazakhstan over the past few years. The practical significance of the research is determined by the applied results, and their scientific significance, which is conditioned upon the use of deep, modern mathematical results and the development of an optimal control system. This research is a part of a universal model and optimal system of emergency quick response, conducting a quick preliminary prognosis as well as ensuring more lasting planning in electricity consumption.

This paper investigates the relationship between energy use and economic development in five South-Asian countries using national-level panel data from 1990 to 2014. Although many studies have already addressed the nexus between energy consumption and economic growth, there is a mixed finding. According to many researchers, South Asian countries have expanded energy consumption since the 1990s. Therefore, energy consumption as a variable for a specific period is considered for the countries of Bangladesh, India, Nepal, Pakistan and Sri Lanka. Furthermore, foreign direct investment (FDI) and international trade (IT) are also considered to be related variables in this study. Pooled ordinary least squares, random effects, and fixed effects estimation techniques are used to provide a reliable estimation, offsetting the country fixed effects. The fixed effect model is the most effective model that reveals the association between electricity usage and growth factors, as per the specification test and Hausman test. A statistically significant correlation was found between international trade, FDI, economic growth, and power usage. FDI has the highest impact on the rising power demand, followed by global commerce and per capita GDP (gross domestic product). More specifically, the study findings reveal that increased power consumption causes more investment, which results in increased economic growth in South Asian countries. The findings of the study further show that FDI significantly impacted upon power consumption and the area of SAARC’s energy demand, resulting in the entry of new technology and an increase in both economic growth and energy consumption. Future policies may focus on investment in the energy sector to promote economic development.