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Knowing all characteristics of rotational system vibrations is most significant for a maintenance technician or engineer. Vibrations are carriers of a machine condition and by analysis of the vibration characteristics, it is possible to find what is the real cause of the vibrations. As a part of the research of rotational machinery vibrations, mathematical modeling of a rotational system is common tool before research is transferred to a real physical model. As an excellent method for this purpose, the best candidate could be a Finite Element Method. In this paper, an analysis of a Finite element model of rotational system motor – flexible coupling – rotor is presented. As a fault analyzed in this paper, misalignment and rotating looseness are modeled as external loads. For this FEM model of a rotational system is shown that it is suitable for the analysis of rotational machinery vibrations.

I. Karabegović, E. Husak, D. Predrag

All production processes in the world are implementing Industry 4.0 by using the basic technologies such as robotics & automation, intelligent sensors, 3D printers, radio frequency identification – RFID, cloud computing, Internet of Things and Internet of Services. Implementation of Industry 4.0 in all production processes is not possible without the use of both industrial and service robots, their development and implementation. In addition, there are other technologies on which the fourth industrial revolution is based that will provide us with intelligent devices, intelligent production processes, intelligent logistics in production processes, i.e. intelligent factories. The Cyber-Physical Systems (CPS) in the global environment provide machine networking in production processes and logistics systems. This paper provides an example of the use of service robots and their role in solving smart transport in production processes.

I. Karabegović, E. Karabegović, M. Mahmić, E. Husak

In the world of global competition, customers have increasing demands that companies must meet in order to remain active in the global market. For this reason, it is necessary to use new technologies in the production processes, i.e. to implement Industry 4.0. In other words, we need to create a connected company through the digital transformation that enables production processes to discover new ways to increase productivity and improve overall business performance. Companies need to get involved and start a digital system, and from supplier to customer. It is a key to the hidden value that can contribute to the company’s productivity, compliance, profitability, as well as the quality of the finished product, and eventually the introduction of flexible industrial automation of production processes. The aforementioned technologies and Internet of Things connect the physical and virtual world with a purpose to better collect and analyze data, transforming them into information that reaches decision-makers. To do this, it is necessary to implement smart sensors that provide information at all times. The implementation of Industry 4.0 in production processes is unthinkable without smart sensors and provides the following: faster product development time, lower overall costs, improved use of production processes and their optimization, as well as company risk management. The paper will outline the motives for the implementation of smart sensors and applications of smart sensors in production processes. Keywords: production process, smart sensor, Industry 4.0, production automation, digital transformation, flexible automation.

: In the last ten years, digital technology has significantly contributed to the change of people's lives worldwide, because its application has caused a rapid transformation of all aspects of human life, and especially fast transformation in the design, production, operation and maintenance of the production system, which caused an unexpected jump in productivity. It can be said that fourth industrial revolutions on-going process, which can be labelled a variety of ways, such as "intelligent factory", "smart industry" or "advance manufacturing". Development of the digital technologies in the last twenty years has introduced us from third in the fourth industrial revolution. The first time the term “Industry 4.0” appears in the Germany in year 2011 whose government promotes automation of production processes by introducing digital technologies. Germany is one of the most technologically developed countries in the world and it is logic that this revolution begins there. This example follows the other countries in the world. Fourth technological revolution depends on a number of new and innovative technological achievements. It is necessary to integrate production processes in all production phases and further applications by using ICT technologies for digitalization. The automation of production processes must include advanced sensors and intelligent robots that can be self-configured to be able to make specific product. It is necessary to collect large amounts of data to be analysed and used in the production processes.

Decimation is process of decreasing sampling rate by an integer, called decimation factor. This process introduces aliasing which may deteriorate the decimated signal and must be eliminated by a filter, called decimation filter. The most simple decimation filter is a comb filter, which has all coefficients equal to unity, and consequently does not require multipliers for its implementation. However, comb filter does not provide enough aliasing attenuation. This paper presents novel combbased decimation filter with an improved alias rejection in comparison with the original comb filter. This is achieved by rotation of comb zeros from their original position, using simple multiplierless filter. Mathematical background for the design of the filter is provided and explained with one example. The proposed method is illustrated with one example and compared with the original comb filter.

Digital technology has significantly contributed to the change of people's lives worldwide, because its application has caused a rapid transformation of all aspects of human life, and especially fast transformation in the design, production, operation and maintenance of the production system, which caused an unexpected jump in productivity. It can be said that fourth industrial revolutions ongoing process, which can be labeledin a variety of ways, such as "intelligent factory", "smart industry" or "advance manufacturing". Development of the digital technologies in the last twenty years has introduced us from third in the fourth industrial revolution. The first time the term “Industry 4.0”, which refers to fourth industrial revolution, appears in the Germany in year 2011 whose government promotes automation of production processes by introducing digital technologies. Germany is one of the most technologically developed countries in the world and it is logic that this revolution begins there. This example follows the other countries in the world. Fourth technological revolution depends on a number of new and innovative technological achievements. It is necessary to integrate production processes in all production phases and further applications by using ICT technologies for digitalization. The automation of production processes must include advanced sensors and intelligent robots that can be self-configured to be able to make specific product. It is necessary to collect large amounts of data to be analyzed and used in the production processes. It is also necessary to realize network communication (include mobile and internet technology) between machines in the production process, the production system and the operator, as well as suppliers and distributors. Application of previously mentioned leads to the intelligent manufacturing processes that have a wide range of change of production processes. To intelligent process we can come only by applying intelligent industrial robots because they represent one of the cornerstones of the fourth industrial revolution. In this paper an analysis of industrial and service robot application in production processes. With the implementation of innovative technologiessupported by digital technology in the industry,we come to intelligent manufacturing processes,that is, intelligent factoriesof the future, thus boosting globalcompetition.

G. Dolecek, I. Karabegović

Decimation is process of decreasing sampling rate by an integer, called decimation factor. This process introduces aliasing which may deteriorate the decimated signal and must be eliminated by a filter, called decimation filter. The most simple decimation filter is a comb filter, which has all coefficients equal to unity, and consequently does not require multipliers for its implementation. However, comb filter does not provide enough aliasing attenuation. This paper presents novel combbased decimation filter with an improved alias rejection in comparison with the original comb filter. This is achieved by rotation of comb zeros from their original position, using simple multiplierless filter. Mathematical background for the design of the filter is provided and explained with one example. The proposed method is illustrated with one example and compared with the original comb filter.

I. Karabegović, Milena Dukanovic

The development of sensor, information and communication technology, or new technology, has contributed to the development of robot technology. A new generation of service robots has been developed, and the highest number of their practical applications is for defense and security. Progress and development of information technology, sensor technology and servo-drive is responsible for the development of over 600 different types or prototype service robots. Service robots are designed for professional jobs and service jobs that are used in everyday life. The rapid development of computer management enabled the rapid development of various service robots that can move independently, autonomously exchange information with their surroundings and act completely autonomously (UV Unmanned Vehicles - vehicles that operate autonomously without human management). They can be used in all operating conditions on land, air and water, which is most important for the development of service robots for defense and security. Different applications of service robots for defense and security have been developed, and some are described in the paper, as well as the tendency of their application in the recent years. A large number of service robots for defense and security were developed, which are used for obtaining information about the vulnerability of human populations during earthquakes, fires or military activities. After obtaining information, we can make proper decisions that will serve the purpose of rescue and assistance to the ones in danger. The tendency of application of service robots for security and defense is constantly rising in the past few years. It is estimated that the development of sophisticated service robots for defense, rescue and security will continue in the future, and the number of applications will increase.

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