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EN
Vibration Energy Harvesting is being investigated for autonomous sensors and actuators that mainly utilize ambient and machine induced vibrations. Recently mechanical motion amplification is incorporated for improving power to weight ratio of vibration harvesters. The present study is motivated to investigate mechanical motion amplification characteristics with different configurations. The parameters investigated are motion amplification ratio, force transmissibility characteristics, weight of the electrical generator, effective damping coefficient achieved and linear nature of damping. Numerical analysis has been performed to compare important characteristics of device operating without amplification to that of with amplification with different configuration. The study has been concluded with comments on application of suitable type of amplification mechanism depending on weight/space constraints and desired effective damping coefficient.
EN
The paper presents the description and results of experimental research whose purpose was to analyze the vibration influence the miner's body during riding on a belt conveyor for transporting coal. The transport of people on mining belt conveyors is a commonly used method to increase mining efficiency and improve a mine's profitability. The paper presents an assessment of safety and comfort parameters used in transporting people, the effect of strong vibrations on the human body and its internal organs, the measuring system used to record the accelerations during the experiment and the measurement results. The recorded data enabled a dynamic analysis of the movement and an assessment of safety and comfort of transported miners on the basis of defined indicators. The data included the accelerations from the moment of getting on the conveyor belt to the moment of going down onto the platform. The tests were carried out for two different belt conveyor speeds, which allowed to assess how conveyor speed affects safety and comfort of people transported on the mining belt conveyor.
EN
Energy harvesting shock absorbers can generate about 15-20 W of electric power for normal suspension velocities. However, higher weight, fail safe characteristics and space limitations have restricted development of regenerative shock absorbers to research prototypes. Power to weight ratio of regenerative shock absorbers can be improved by incorporating motion amplification. In the presented work, an innovative design of energy harvesting shock absorber has been presented that uses motion amplification for improving harvesting efficiency. Apart from improving electric power, the proposed solution is fail safe and can be easily incorporated in existing vehicles with only marginal change in suspension layout. Study includes detailed numerical analysis for vibration transmissibility to investigate comfort and safety. Further, a prototype has been fabricated and experimentation has been performed to compute electric power generated and comfort. Simulations have been performed on real size model with utilization of harvested electric power which indicates about 19% of overall harvesting efficiency.
EN
This article specifies application of machine learning for the purpose of classifying wear level of multi-piston displacement pump. A diagnostic experiment that was carried out in order to acquire vibration signal matrices from selected locations within the pump body is described herein. Measured signals were subject to time and frequency analysis. Signal attributes related to time and frequency were grouped in a table in accordance with pump wear level. Subsequently, classification models for the pump wear level were developed through application of Matlab package. Assessment of their accuracy was carried out. A selected model was subject to confirmation. The article includes its summary.
EN
Technical diagnostics of the overhead power line supporting structures is very important from the point of view of reliability and the national energy security. The paper presents a method of identification of technical condition of power line supporting structures. The technique is based on testing the correlation between the change of stress in the system and the change of modal parameters caused by damage. Presented approach is comprehensive and accounts for a number of problems related to the diagnostics of large-size objects of complex geometry. The basic advantage of the developed identification algorithm of the overhead power line supporting structures technical condition is low sensitivity to measurement errors, which is very important in the context of exploitational diagnostics.
PL
Diagnostyka techniczna konstrukcji wsporczych napowietrznych linii elektroenergetycznych jest zagadnieniem niezwykle istotnym z punktu widzenia niezawodności i bezpieczeństwa energetycznego kraju. W artykule przedstawiono metodę identyfikacji stanu technicznego kratownicowych konstrukcji wsporczych. Technika jest oparta na badaniu korelacji pomiędzy zmianą stanu naprężenia w układzie, a zmianą parametrów modalnych, spowodowanych uszkodzeniem. Zaprezentowane podejście jest kompleksowe i uwzględnia szereg problemów związanych z diagnostyką obiektów wielkogabarytowych o złożonej geometrii. Podstawową zaletą opracowanego algorytmu identyfikacji stanu technicznego konstrukcji wsporczych jest niska wrażliwość na błędy pomiarowe, co jest niezwykle istotne w kontekście diagnostyki eksploatacyjnej.
EN
The auscultation technique has been widely used in medicine as a screening examination for ages. Nowadays, advanced electronics and effective computational methods aim to support the healthcare sector by providing dedicated solutions which help physicians and support diagnostic process. In this paper, we propose a machine learning approach for the analysis of heart sounds. We used the spectral analysis of acoustic signal to calculate feature vectors and tested a set of machine learning approaches to provide the most effective detection of cardiac disorders. Finally, we achieved 91% of sensitivity and 99% of positive predictivity for a designed algorithm based on convolutional neural network.
7
Content available remote The vibrational energy flow control in plates connections.
EN
Practical modelling of energy flows through a screw-connection of two plates has been presented. The SEA method has been employed. Equivalent coupling loss factor has been calculated for a group of mutually combined elements, which constitute a constraction fragment. A comparison between the measured results and the value of coupling loss factor in linear joint (e.g. in welded one) has also been made. The influence of rubber separator thickness on the value of the first several frequencies of free vibrations has also been computed by the Finite Elements Method. A comparison of computational results with experimental measurement has been made.
PL
W pracy przedstawiono sposób modelowania złożonego układu płytowo-belkowego przy zastosowaniu Metody Statystycznej Analizy Energii. Celem pracy jest określenie wpływu modyfikacji połączenia poprzez wprowadzenie warstwy materiału tłumiącego o znanej charakterystyce na przepływ energii wibroakustycznej. Dla grupy wzajemnie połączonych elementów stanowiących fragment konstrukcji obliczono zastępczy współczynnik przeniesienia energii. Wyniki analizy teoretycznej porównano z danymi eksperymentalnymi. Metodą elementów skończonych obliczono wpływ grubości gumowej przekładki na wartość pierwszych kilkunastu częstotliwości drgań własnych. Przedstawiony algorytm obliczeń pozwala na ilościową ocenę wpływu struktury wibroizolacyjnej na przepływ energii przez łacze mechaniczne.
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