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

The vibration behavior of a healthy gear train is modelled as a sum of sinusoidal accelerations of a pinion, a gear, and a gear-mesh. A while noise is added trough waveform of normally distributed random numbers. The corresponding time-diagram and spectrogram are obtained. After that, an impulse acceleration waveform is added to simulate a teeth fault. The time-diagram and spectrogram are obtained again and compared. Conclusions are made.

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.

Predictive maintenance of machines, also known as Condition Based Maintenance, is based on monitoring operating parameters, and comparison with corresponding values of parameters obtained for the new equipment.

All machines with moving parts give rise to sound and vibration and each machine has a specific vibration signature related to the construction and the state of the machine. If the state of the machine changes the vibration signature will also change and a change in the vibration signature can be used to detect incipient defects before they become critical. The condition monitoring technique is based on detecting the presence of a fault, diagnosing the root cause of the fault, assessing its level of severity and making arrangements for its correction. A broad of condition monitoring and fault diagnosis techniques has been carried out for improving the accuracy and ability of condition monitoring and prognosis systems for bearing and gear components.

This paper introduces the method for diagnostic of the rear drive axle for the passenger cars without its demounting. The objective method of diagnosing the rear drive axle is done by vibrometer. Application of diagnostic method greatly would be contributed in quickly localization of the rear drive axle fault where diagnostic process of the servicer will done faster.

In the case of energy-efficient drives with induction motors, the tendency to implement optimally designed motors, combined with intelligent control, incorporating an integrated monitoring and diagnostics system, is becoming increasingly important. Induction motors in industrial systems operate with frequent starting, dynamic loads and sometimes unbalance of supply voltage. In order to maintain an optimal operating condition, reduce the number of failures and build up an optimal repair and maintenance system, it is important to have an advanced monitoring system coupled with fault identification techniques. The behavior of optimally designed three-phase induction motors designed to operate integrated into hydraulic units with continuous duty operating mode is considered

In this article is proposed a new approach to the classification of the technical state of aircraft gas turbine engines in the course of their life cycle. Given classification takes into account the occurrence of new kinds of technical conditions of the engine, which arises during the operation of aircraft equipment upon technical state. For faulty operating condition and for efficient operating condition is introduced the concept of critical and non-critical state. The article shows how is changing in the process of operation functionality of the engine, provided in the form of a curve with a characteristic areas and breakpoint for operation of the engine. This introduced breakpoint for operation of engine corresponds to its state before the failure state. There were introduced, on the basis of changes in the degree of functionality of the engine, certain technical conditions into which aircraft engines can enter and stay. The introduction of technical The article presents diagram of possible transitions from one condition of the engine are described mathematically on theoretic-plural level. The article presents diagram of possible transitions from one engine technical state to another affected by both the operational and external control factors.

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.

Predictive maintenance of machines, also known as Condition Based Maintenance, is based on monitoring operating parameters, and comparison with corresponding values of parameters obtained for the new equipment. All machines with moving parts give rise to sound and vibration and each machine has a specific vibration signature related to the construction and the state of the machine. If the state of the machine changes the vibration signature will also change and a change in the vibration signature can be used to detect incipient defects before they become critical. The condition monitoring technique is based on detecting the presence of a fault, diagnosing the root cause of the fault, assessing its level of severity and making arrangements for its correction. A broad of condition monitoring and fault diagnosis techniques has been carried out for improving the accuracy and ability of condition monitoring and prognosis systems for bearing and gear components.

This paper introduces the method for diagnostic of the rear drive axle for the passenger cars without its demounting. The objective method of diagnosing the rear drive axle is done by vibrometer. Application of diagnostic method greatly would be contributed in quickly localization of the rear drive axle fault where diagnostic process of the servicer will done faster.

Customers demand a guaranteed availability of machine components in capital goods industry. However, manufacturers are not willing to guarantee the demanded availability due to increasing costs based on high risks and uncertainties resulting from missing operational data, insufficient transparency of the machine condition as well as missing information of the customer behavior. In the following paper, a strategy to enable the development of availability-oriented Product-Service Systems (PSS) will be presented. Therefore, a use case focusing on the agricultural industry is regarded. Based on the use case, service-relevant parts will be identified and failure mechanisms of these parts will be determined. The subsequent development of condition monitoring strategies depend on the determined failure mechanisms. In a last step, the strategies will be assessed and the strategy with the highest added value will be chosen for an exemplary implementation, for which an electric motor and a conveyor belt of a potato harvester will be used.