Air pollution is one of the major environmental problems with short, medium and long-term effects. Substances emitted into the atmosphere (CO2, SO2, NOx, PM10) contribute to the amplification of the effects of climate change, acidification, air quality deterioration. The most important sources of PM10 emissions come from commercial, institutional and household sectors, industrial processes, road transport and agriculture. In order to protect the atmosphere and improve air quality, are needed measures of control at pollutant emissions. Early pollution reduction actions have led to a significant decrease of PM10 emissions especially from the production and distribution of energy, combustion processes and road transport has significantly diminished. Improving air quality requires continuous monitoring of emissions and, in particular emissions of particulate matter/ PM10. The paper presents the results of the monitoring activity of particulate matter/ PM10 from the thermo-energetic industry. The results of the monitoring include the particulate matter/ PM10 values in the range (68.083 mg/Nm3 - 93.166 mg/Nm3), values that do not exceed the emission limit values.

The methods utilized to construct and identify the mathematical equation that characterizes the cutting of items with varied textures are presented in this work. Using laboratory equipment, the cutting process was carried out experimentally. The cutting energy was calculated based on the experimental results. The energy required to perform this process is directly influenced by the textural characteristics of the products used, as per the analysis of the experimental results obtained after the cutting process (density, humidity, products with or without peel). The gathered information was used to develop a general equation that would properly describe the process. Table Curve 3D software was used to create mathematical equations that define the relationship between input parameters, the type of product being cut, cutting speed, and output parameters, i.e., cutting energy. The equations that have the same correlation coefficient were discovered using the working methodology; it was specifically designed for this purpose.

This paper presents a theoretical study of the application of vibration envelope technique in the diagnosis of rolling bearings with the purpose of estimating their remaining life and of determining the proper time to perform the replacement of rolling bearings within the maintenance activity. Increasing the vibration level has as a consequence the lifetime reduction of rolling bearings. Enveloping is a vibration signal processing technique, necessary in the extraction of the defect characteristic frequencies from the frequency spectrums. By using the enveloping technique the premature wear of rolling bearings can be monitored. Rolling bearings are predisposed to a premature wear due to the execution and mounting quality, to the loading conditions during operation, to the very numerous cycles of operation and so on. This premature wear manifests itself through: 1. the generation of noise; 2. the loss of lubricant; 3. the failure of other components; 4. supplementary energy consumption. The present study also reveals the benefits of the predictive maintenance application in direct connection with the decrease of energy consumption, materials, noise pollution and waste quantities. At the same time, by condition monitoring and diagnostic of process equipment, the predictive maintenance has an important role about costs of maintenance activity because one third of these costs are lost due to improper application or unnecessary maintenance. Damage caused by improper maintenance can cause disasters at a large scale with negative consequences for people and environment.