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

With more than 1.35 million fatalities worldwide each year, road crashes are among the world’s most significant public health and injury prevention problems. In the last decade, with the new technological breakthroughs, a significant effort has been devoted to improving different safety systems related to infrastructure and vehicles. Road marking and road signs represent main road elements whose main task is to provide timely and necessary information to the drivers related to the upcoming situation. In other words, they warn and inform drivers about the conditions and construction characteristics of the road, guide road users through the traffic network and regulate traffic in a safe way. Therefore, continuous monitoring and testing of their quality is of great importance for road safety in general. The a im of this paper is to present Croatian experience regarding the quality testing of road markings and signs in last decade. Overall, the analysis confirmed that systematic control of road markings and signs will positively affect their quality and optimize maintenance activities

The intensity of aging and wear of the components /aggregates and assemblies/ of the machines is different and hence the necessity of carrying out repair service interventions has different periodicity and volume.
A model has been developed to optimize the periodicity of maintenance of machine components, taking into account the losses from the underuse of their resource.
The influence of the parameters of the law and the economic indicators on the optimal periodicity of the maintenance was examined at the density of the distribution of work until failure to the Weibull distribution.

A key element in the machinery management policy is its rational use by optimizing the periodicity of maintenance and repairs. The influence of the numerical characteristics and parameters of the reliability indicators distribution on the optimal periodicity of the maintenance has been investigated. Analytical dependencies for determining the complex reliability indicators of the objects at the optimal periodicity of the prophylactics are proposed.

Prevention 4.0 as part of the enterprise’s safety culture is developing HSE management system to address new challenges in prevention. Industry 4.0 anticipates new linkages between technology, man, and management systems to apply the most efficient IT systems to ensure the flexibility of the production process so that its output is a product that takes into consideration customer requirements. These changes include the existence of new types of risk due to the change of the position of man from the classical production centers to the area of superstructure activities, programmer, setter, maintainer, security technician for the digitization of production processes. Risk identification is based on defining the hazards and threats of a complex manufacturing system in the context of Safety and Security – Sa&Se, their formulation so that characteristic parameters can be efficiently digitized within the manufacturing process.

Safety engineering is consistently promoted and there is an evident need for improvement and development. The maintenance process is dependent on the method of editing and organizing the setup and execution of such kind commitments.
Working with the maintenance system itself determines the manner of maintenance.
Тhe contractor’s responsibility for providing a high level efficiency of system maintenance because the process involves detecting and reducing degradation and restoring the functions of the system in working order.
The purpose of this paper is to overcome the shortage of updating data for occupational safety for maintenance, knowledge and to introduce new methods to protect workers and the working environment, as well as monitoring the current trends and standards.

Complex production systems are increasingly using Industrial Ethernet for connecting MES, PLCs, Touch Control, and even sensors and actors within the industrial control network. While today’s production is still process driven under MES control, digitalization requires a data driven approach with cyber physical systems acting autonomously in a connected production world. Moving away from a centralized control architecture has the advantage of more flexibility but eliminates the implicit knowledge on global parameters such as the current condition or state of the overall machinery. This paper describes a methodology to retrieve these global parameters independently from any control system and fully transparent to the control network. A data sensor device is introduced that can listen to any Ethernet data traffic. Together with a specialized packet rules engine it is used to extract and combine information out of a raw Ethernet data stream to build up a virtual sensor device. A production state identification sensor is described as an example application of the virtual data sensor device.

In the paper is made a comparative analysis of the armament and equipment support modules in the field of information systems for command and control of NATO armies and the main functions of each information system for maintenance of the logistical assurance.

The classification of information systems is made depending on the integration capabilities with Microsoft products ,as well as depending on the capabilities of deploying emerging technologies such as remote monitoring, remote control, and more.

Until now, the majority of ergatic control systems in various technological areas are based on a functioning independent of the maintenance process. This approach reduces the efficiency of maintenance and the safety of the system. The report proposes an alternative model of the system’s behavior, based on interactive interaction with both operational and technical staff.

Maintenance of agricultural equipment is carried out by agricultural equipment dealer in Bulgaria. Their business interests forbid them to implement strategies that decrease maintenance costs, such as proactive maintenance or condition based maintenance. For this reason farmers incur unnecessary financial losses. This article shows the necessity and effectiveness of implementing early diagnosis in agricultural equipment maintenance.

The active fault-tolerant control approach relies heavily on the occurred faults. Higher performances and more rigorous security requirements have invoked an ever increasing demand to develop real time fault detection and isolation system. The problem of fault diagnosis using analytical redundancy (model-based) methods has received increasing attention during recent years due to the rapid growth in available computer power. The main objective is to design and maintenance a fault-tolerant control system which guarantees a high overall system reliability and dependability both in nominal operation and in the presence of faults. Such an objective is achieved by a control performance index, which is proposed based on system reliability analysis. The methods involve generation and evaluation of signals that are accentuated by faults that have actually occurred. The procedures for generating such signals, called residuals, are based on two main distinct approaches. Direct approach consists in the elimination of all the unknown variable , keeping input-output relations involving only observable variables. Indirect approach estimates states, outputs or parameters in order to generate discrepancy signals obtained by the difference between the actual variables and their estimates.

Conducted field tests of seed complex Agro-Soyuz Turbosem II 19-60, equipped with maintenance-free disk-anchor openers.
Developed materials have low indices of relative wear in a fairly wide range of operation with such variables as pressure and surface roughness. Some properties of the developed composite materials, which have made possible the creation of an innovative product. In the first season of the complex sowed 9179,5 ha without maintenance of the modernized units.

The traditional approach in many agricultural facilities has been to keep machines running to increase production revenues, often with consequences to assets – consequences that result in higher maintenance costs. Autonomous maintenance is a reliability initiative that provides alternative to this dilemma.