Wyniki wyszukiwania - BazTech

1

Analysis of the Influence of Fuel Dose on the Electrical Parameters of the Starting Process of a Single-Cylinder Diesel Engine

Caban Jacek, Seńko Jarosław, Słowik Tomasz, Dowkontt Szymon, Górnicka Dorota

Advances in Science and Technology. Research Journal

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2024

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Vol. 18, no 4

55--65

EN

The start-up is a transient state of operation of an internal combustion engine during which many negative phenomena occur that affect the technical condition of the engine, its electrical equipment and the natural environment. The start-up process of an internal combustion engine is influenced by many factors, such as: technical condition of the starting system, technical condition of the engine, battery charge level, lubricant properties, engine standstill time, engine temperature, etc. Mechanical energy is required to start the engine, supplied by an electric starter by drives the engine’s crankshaft. Knowledge about the operating parameters of the electric starter during the start-up process is important not only for the user of the engine (vehicle driver), but above all for designers of modern combustion engine starting systems and service personnel. The paper presents the results of experimental tests of electrical parameters of the single-cylinder diesel engine start-up process at variable fuel injection parameters under ambient temperature conditions.

2

Possibilities of diagnosing breathing disorders during sleep in home conditions

Górnicka Dorota, Kuryjański Ryszard, Michalik Michał

Diagnostyka

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2021

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Vol. 22, No. 4

115--121

EN

Disorders of breathing during sleep not only adversely affect the condition of the body during the daytime, but, above all, can be dangerous to health and life. Clinical methods of diagnosing these disorders are highly developed and, as a result, allow to effectively eliminate the problem, but still the problem is early diagnosis at home, which will be the basis for reporting to the doctor for extended examinations. This paper presents a proposed algorithm for inferring sleep-disordered breathing supported by conclusions from work on investigating the associations of discriminants with selected fragments of acoustic signals. The effectiveness of the developed algorithm was verified on a test sample of acoustic signals from selected patients treated by the MML clinic. The results of the study are the basis for the development of a numerical application for preclinical diagnosis of sleep apnea and sleep-disordered breathing. The verification of the algorithm carried out on real examples confirms the correctness of the assumptions made, demonstrates its effectiveness and suitability for use in a mobile application.

PL

Zaburzenia oddychania podczas snu nie tylko niekorzystnie wpływają na kondycję organizmu w porze dziennej, ale przede wszystkim mogą być niebezpieczne dla zdrowia i życia. Kliniczne metody diagnozowania tych zaburzeń są wysoko rozwinięte i w efekcie pozwalają na skuteczne wyeliminowanie problemu, jednak nadal problemem jest wczesna diagnostyka w warunkach domowych, która będzie podstawą do zgłoszenia się do lekarza w celu przeprowadzenia rozszerzonych badań. W artykule przedstawiono propozycję algorytmu wnioskowania o zaburzeniach oddychania w trakcie snu popartego wnioskami z prac nad badaniem związków wyróżników z wybranymi fragmentami sygnałów akustycznych. Skuteczność opracowanego algorytmu zweryfikowano na próbce testowej sygnałów akustycznych pochodzących od wybranych pacjentów leczonych przez klinikę MML. Rezultaty przeprowadzonych badań są podstawą opracowania aplikacji numerycznej służącej przedklinicznemu diagnozowaniu bezdechów śródsennych i zaburzeń oddychania podczas snu. Przeprowadzona na rzeczywistych przykładach weryfikacja algorytmu potwierdza poprawność przyjętych założeń, wykazuje jego skuteczność i przydatność do zastosowania w aplikacji mobilnej.

3

Vibration signal as a support for the processes production management in enterprises of the furniture industry

Górnicka Dorota, Szwedzka Katarzyna

Vibrations in Physical Systems

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2019

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Vol. 30, nr 2

art. no. 2019216

EN

Activities of maintenance services cover not only the performance of ongoing repairs, but, above all, the prevention of failures and downtime. Adopting preventive measures to maintain machinery and equipment in manufacturing enterprises has a significant impact on the timely execution of orders, which is why monitoring the state of the machine park is becoming common in robotic manufacturing enterprises. Currently, the most frequently observed diagnostic parameters relate to machine vibrations. Information on exceeding the permissible thresholds allows for appropriate reaction of maintenance services aimed at minimizing unplanned downtime. The diagnostic aspect is beyond dispute here. However, there is a question whether the vibration signal can additionally be a carrier of information about the production process - information that can be used at the stage of technological process assessment, or even at the stage of process control? Searching for the answer to this question, one of machining centres for mass production of glued panels in the furniture industry was analyzed. Information obtained from maintenance services was confronted with information from standard vibration measurements. The article is an attempt to answer the question of how to properly use at the management stage knowledge of vibration signals generated by motors mounted on the production line.

4

Acoustic signal as a carrier of information on breathing sleep disorders

Górnicka Dorota, Klekot Grzegorz, Michalik Michał

Vibrations in Physical Systems

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2019

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Vol. 30, nr 2

art. no. 2019215

EN

The statement that an acoustic signal can be a good tool for assessing breathing during sleep is not revealing and certainly raises no doubts. Based on the experience of technical diagnostics, one can formulate the hypothesis about the suitability of sounds accompanying breathing to infer any specific disorders. The verification of this hypothesis was supported by a research experiment combining the experience of doctors and engineers. The obtained results was used to create the simple application for the initial diagnosis of respiratory problems while sleeping at home. Assuming the minimization of the use of an advanced mathematical apparatus, features that are the symptoms of basic respiratory disorders have been extracted from the signal. Thanks to this approach, the developed tool not only informs about the disorder, but also signals the potential cause of the problem. Thus, the inference procedure that is the basis of a useful application can also support doctors at the stage of preclinical diagnosis.