ORIGINAL RESEARCH ARTICLE
Statistical procedures for determining of parameters for the evaluation of the condition and safety in logistic of military vehicles
More details
Hide details
1
Military Institute of Armoured and Automotive Technology, Poland
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
Submission date: 2022-12-01
Final revision date: 2022-12-01
Acceptance date: 2022-12-30
Publication date: 2022-12-31
Corresponding author
Bogdan Żółtowski
Pion Rozwoju, Wojskowy Instytut Techniki Pancernej i Samochodowej
Military Institute of Armoured and Automotive Technology, Okuniewska 1, 05-070, Sulejówek, Polska
SLW 2022;57(2):143-160
KEYWORDS
TOPICS
ABSTRACT
Abstract. The use of technical condition assessment methods in the process of vehicle operation, which are the basis for automating the process of recognizing their current condition and safety, is synonymous with modernity. The purpose of this study is to present fragments of numerical procedures used for programmed studies of changes in the state, reliability, and safety of technical objects in use. The presented methodology, supported by elements of achievements in application of statistical methods, is the basis for a comprehensive assessment of supervised facilities, which are so important for innovative strategies for the operation of technical facilities. However, this requires optimization of the set of diagnostic parameters, development, and optimization of condition control tests and optimization of genesis and prognosis methods. The solution to these tasks depends on many factors related to the degree of complexity of the objects, the quality of the operation process and the course of their ageing and wear processes. The analysis and synthesis of the obtained research results should allow for the development of dedicated procedures and inference rules for the tested objects (vehicles) in the field of data acquisition and processing for the observation matrix, which is presented in the form of ready-made algorithms in this work. These are significant procedures constituting the basis for more and more often built control and diagnostic systems introduced to facilities already at the stage of construction and production in modern technical facilities. Such systems are the basis for monitoring state changes, security threats, reliability, and supervision in the rational operation of technical facilities.
REFERENCES (27)
1.
Augustyn, S., 2022. Międzynarodowy transport szczepionki na covid-19 i problemy z nim związane. Presentation for a lecture on “Logistyka międzynarodowa”. Wojskowa Akademia Techniczna, Warszawa.
2.
Awrejcewicz, J., 1996. Drgania deterministyczne układów dyskretnych. WNT, Warszawa.
3.
Bajkowski, J., Grzesikiewicz, W., Jusis, J., 2000. Simulation investigation of self-excited caused by friction. XIX Symposium Vibrations in Phisical Systems, Poznań-Błażejewko.
4.
Banek, T., Batko, W., 1997. Estymacja zaburzeń w systemach monitorujących. AGH, Kraków.
5.
Batko, W., Gołaś, M., 1998. Zastosowanie metody wyrównywania wykładniczego do eliminacji zakłóceń typu run-out w systemach monitorujących. XXV Ogólnopolskie Sympozjum Diagnostyka Maszyn, Węgierska Górka, 19-32.
6.
Bendat, J.S., Piersol, A.G., 1996. Metody analizy i pomiaru sygnałów losowych. PWN, Warszawa.
7.
Będkowski, L., Dąbrowski, T., 2000. Elementy syntezy systemu wspomagającego diagnostykę w procesach obsługowych. XXVII Sympozjum. Diagnostyka Maszyn, Węgierska Górka, 49-62.
8.
Birger, I.A., 1978. Technical diagnostics. Nauka, Moscov, p. 32, in Russian.
9.
Bruel, P., 1993. Induced hearing loss in industry. Inter - Noise 93, Leuven-Belgium.
10.
Broch, J.T., 1980. Mechanical Vibration and Shock Measurements. Bruel & Kjaer.
11.
Bishop, R., Johnson, D.C., 1990. The mechanics of vibration. Cambridge University Press.
12.
Cempel, C., 2000. Teoria i Inżynieria Systemów – Wprowadzenie [online]. Skrypt, Politechnika Poznańska, Poznań; p.100 + Fig.100. Available at: neur.am.put.poznan.pl: Politechnika Poznańska Zakład Wibroakustyki i Bio-Dynamiki Systemów [3 April 2022].
13.
Cempel, C., 1998. Fundamentals of Vibroacoustical Condition Monitoring. Chapter 13, 324 -253 in: Handbook of Condition Monitoring, Chapman and Hall, London, 565.
14.
Cempel, C., Natke, H. G., 1996a. Holistic Dynamics of Systems, Journal of Systems Engineering, 6; 33–45.
15.
Cempel, C., Natke, H. G., 1996b. The Modelling of Energy Transforming and Energy Recyclic Systems. Journal of Systems Engineering, 6, 79–88.
16.
EASA, 2022. Transport of cargo in passenger compartment – exemptions under article 71(1) of regulation (EU) 2018/1139 (the basic regulation), Issue 6.0 [online]. Available at:
https://www.easa.europa.eu/en/... [11 April 2022].
17.
Giergiel, J., Uhl T., 2000. Identyfikacja układów mechanicznych. PWN, Warszawa.
18.
Giergiel, J., 2000. Drgania mechaniczne. AGH, Kraków.
19.
Grifin, M.J., 1990. Handbook of human vibration. Academic Press.
20.
Natke, H. G., Cempel, C., 1997. Model - Aided Diagnosis of Mechanical Systems, Springer Verlag.
21.
Niziński, S., Żółtowski, B., 2002. Modelowanie procesów eksploatacji maszyn. MARKAR - BZ, Bydgoszcz - Sulejówek.
23.
Winiwarter, P., Cempel, C., 1996. From Trophic Webs and Hierarchical Energy Transformation Systems to Multilayer Neural Network. Proceedings of International Conference PPSN IV, Berlin.
24.
Żółtowski, B., Cempel, Cz. (red.), 2004. Inżynieria diagnostyki. ITE, Radom.
25.
Żółtowski, B., 1995. Computer testing of combustion engine using the method of acceleration. Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques. Paris-Senlis. France.
26.
Żółtowski, B., 1997. Diagnostic identification of real objects (part I). COMADEM 97. Helsinki. Finland, 2; 224-235.
27.
Żółtowski B., 1997. Diagnosis experiments of machines. LAMDAMAP’97, Huddersfield, UK.