Using Artificial Intelligence to Determine the Type of Rotary Machine Fault

The article deals with the possibility of using machine learning in vibrodiagnostics to determine the type of fault of rotating machine. The data source is real measured data from the vibrodiagnostic model. This model allows simulation of some types of faults. The data is then processed and reduced for the use of the Matlab Classication learner app, which creates a model for recognizing faults. The model is ultimately tested on new samples of data. The aim of the article is to verify the ability to recognize similarly rotary machine faults from real measurements in the time domain

Design of Linear Quadratic Regulator (LQR) Based on Genetic Algorithm for Inverted Pendulum

One of the crucial problems in the dynamics and automatic control theory is balancing of an invertedpendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erentmethod comparison. In the practical use of the LQR method, the key problem is how to choose weight matricesQ and R correctly. To obtain satisfying results the experiments should be repeated many times with di erentparameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) techniquefor getting better results. In our paper, the LQR parameters weight matrices Q and R which were tuned usingthe Genetic Algorithm. The simulations of the control problem are designed using MATLAB script code andMATLAB Simulink on an inverted pendulum model. The results show that the Genetic Algorithm is suitablefor tuning the parameters to give an optimal response. The control problem of the inverted pendulum was solvedsuccessfully

Vibrodiagnostics Faults Classification for the Safety Enhancement of Industrial Machinery

The current digitization of industrial processes is leading to the development of smart machines and smart applications in the field of engineering technologies. The basis is an advanced sensor system that monitors selected characteristic values of the machine. The obtained data need to be further analysed, correctly interpreted, and visualized by the machine operator. Thus the machine operator can gain a sixth sense for keeping the machine and the production process in a suitable condition. This has a positive effect on reducing the stress load on the operator in the production of expensive components and in monitoring the safe condition of the machine. The key element here is the use of a suitable classification model for data evaluation of the monitored machine parameters. The article deals with the comparison of the success rate of classification models from the MATLAB Classification Learner App. Classification models will compare data from the frequency and time domain, the data source is the same. Both data samples are from real measurements on the CNC vertical machining center (CNC-Computer Numerical Control). Three basic states representing machine tool damage are recognized. The data are then processed and reduced for the use of the MATLAB Classification Learner app, which creates a model for recognizing faults. The article aims to compare the success rate of classification models when the data source is a dataset in time or frequency domain and combination.</p

Využití moderních sensorů pro určení tepelné pohody

The following article deals with human thermal comfort dilemma. Firstly, the sensor for operative temperature evaluation and than synthetic skin type sensor will be introduced. There is no compact sensor on the market, which can measure operative temperature, so the effort is to develop this kind of sensor. It is necessary to measure more physical quantities, like air temperature, mean radiant temperature, air flow velocity and relative air velocity, to calculate operative temperature. Human thermal comfort does not depend only on environment conditions but also on personal factors, which are different for every human being. It's especially energy expenditure and human clothes thermal resistance.Článek se zabývá problematikou tepelné pohody. Bude představen snímač pro hodnocení operativní teploty a snímač typu umělá kůže. Na trhu v současné době chybí kompaktní snímač, který by měřil operativní teplotu. Snahou je tedy takový snímač vyvinout. Pro výpočet operativní teploty je nutné měřit více fyzikálních veličin. Jedná se o teplotu vzduchu, střední radiační teplotu, rychlost proudění vzduchu a relativní rychlost vzduchu. Tepelná pohoda člověka nezávisí pouze na podmínkách prostředí, ale také na faktorech osobních, které jsou u každého člověka jiné. Jedná se o energetický výdej a tepelný odpor oděvu člověka

Usage of Modern Sensors for Thermal Comfort Determination

The following article deals with human thermal comfort dilemma. Firstly, the sensor for operative temperature evaluation and than synthetic skin type sensor will be introduced. There is no compact sensor on the market, which can measure operative temperature, so the effort is to develop this kind of sensor. It is necessary to measure more physical quantities, like air temperature, mean radiant temperature, air flow velocity and relative air velocity, to calculate operative temperature. Human thermal comfort does not depend only on environment conditions but also on personal factors, which are different for every human being. It's especially energy expenditure and human clothes thermal resistance