Hidden markov models of technical control of technical condition parameters of self-propelled sprayers
DOI:
https://doi.org/10.31548/machenergy2021.04.145Keywords:
simulation model, coefficient of readiness, self - propelled sprayer, technical control.Abstract
The main indicator used to study the reliability are hidden Markov models of technical control of the technical condition of self-propelled sprayers, which means the probability that the self-propelled sprayer will be operational at any time, except for planned periods during which the use of self-propelled sprayers is expected. Derivation of the analytical expression for hidden Markov models of technical control of the parameters of the technical condition of self-propelled sprayers - a rather time-consuming operation. The complexity increases with the complication of the graph, ie in an effort to take into account more technical conditions, factors that affect the process of technical control of self-propelled sprayers. Therefore, it is advisable to solve the problem of such a plan using a simulation model. Using the Stateflow modeling tool of the Matlab software package, a model has been developed that allows modeling discrete-event models. Model of self-propelled sprayers among Stateflow for estimating the coefficient of readiness during technical control of programs. The results of simulation are the values of hidden Markov models of technical control of the parameters of the technical condition of self-propelled sprayers in various technical control programs, which allows us to draw conclusions about the impact of technical control of self-propelled sprayers on the readiness factor.The probabilities of errors varied from 0 to 1, which is quite justified in cases where the technical control differs only in the place of measurement of the parameter of technical condition, and the means of measurement are the same. The author found that the readiness factor is sensitive to errors of the second kind in this case. Ways of further research are found in the study of other programs of technical control of self-propelled sprayers, in which the readiness factor is sensitive to the probability of errors of the first kind.
References
Savickas D. (2020). Self-propelled sprayers fuel consumption and air pollution reduction. Water, Air & Soil Pollution. 231. 95. https://doi.org/10.1007/ s11270- 020-4466-5.
Meng A. (2020). Modeling and experiments on Galfenol energy self-propelled sprayers. Acta Mechanica. Sinica. https://doi. org/10.1007/s10409-020-00943-6.
Li P. (2020). Design and experimental study of broadband hybrid energy self-propelled sprayers with frequency-up conversion and nonlinear magnetic force. Micro- and Nanosystems Information Storage and Processing Systems. 5. https://doi.org/10.1007/ s00542-019-04716-5.
Beneš L., Novák P., Mašek J., Petrášek S. (2015). John Deere self-propelled sprayers fuel consumption and operation costs. Engineering for Rural Development. 15. 13-17.
Craessaerts G., De Baerdemaeker J., Saeys W. (2020). Fault diagnostic systems for agricultural machinery. Biosystems Engineering. 106(1). 26-36.
Toro A., Gunnarsson C., Lundin G., Jonsson N. (2021). Cereal harvesting – strategies and costs under variable weather conditions. Biosystems Engineering. 111(4). 429-439.
Findura P., Turan J., Jobbágy J., Angelovič M., Ponjican O. (2019). Evaluation of work quality of the green peas self-propelled sprayers. Research in agricultural engineering. 59. 56-60.
Hanna H. M., Jarboe D. H. (2021). Effects of full, abbreviated, and no clean-outs on commingled grain during self-propelled sprayers. Applied Engineering in Agriculture. 27(5). 687-695.
Korenko M., Bujna M., Földešiová D., Dostál P., Kyselica P. (2015). Risk analysis at work in manufacturing organization. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 63. 1493-1497.
Lee D. H., Kim Y. J., Choi C. H., Chung S. O., Nam Y. S., So J. H. (2016). Evaluation of operator visibility in three different cabins type Far-East self-propelled sprayers. International Journal of Agricultural and Biological Engineering. 9(4). 33-44.
Prístavka M., Bujna M. (2013). Use of satatical methods in quality control. Acta Technologica Agriculturae. SUA in Nitra. 13. 33-36.
Prístavka M., Bujna M., Korenko M. (2013). Reliability monitoring of self-propelled sprayers in operating conditions. Journal of Central European Agriculture. 14. 1436-1443.
Singh M., Verma A., Sharma A. (2012). Precision in grain yield monitoring technologies: a review. AMA-Agricultural Mechanization in Asia Africa and Latin America. 43(4). 50-59.
Žitňák M., Kollárová K., Macák M.,
Prístavková M., Bošanský M. (2015). Assessment of risks in the field of safety, quality and environment in post-harvest line. Research in Agricultural Engineering. 61. 26-36.
Žitňák M., Macák M., Korenko M. (2014). Assessment of risks in implementing automated satellite navigation systems. Research in Agricultural Engineering. 60. 16-24.
Viba J., Lavendelis E. (2006). Algorithm of synthesis of strongly non-linear mechanical systems. Industrial Engineering – Innovation as Competitive Edge for SME, 22 April 2006. Tallinn, Estonia. 95-98.
Luo A.C.J., Guo Y. (2013). Vibro-impact Dynamics. Berlin: Springer-Verlag. 213.
Astashev V., Krupenin V. (2017). Efficiency of vibration machines. Engineering for Rural Development. 16. 108-113.
Zagurskiy О., Ohiienko M., Rogach S., Pokusa T., Titova L., Rogovskii I. (2018). Global supply chain in context of new model of economic growth. Conceptual bases and trends for development of social-economic processes. Monograph. Opole. Poland, 64-74.
Titova L. L., Nichay І. М. (2020). Methodological provisions of technical level of use of complex of agricultural machines. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine. 11(3). 151-162. http://dx.doi.org/ 10.31548/machenergy2020.03.151.
Rogovskii I. L. (2019). Systemic approach to justification of standards of restoration of agricultural machinery. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine. 10(3). 181-187. http://dx.doi.org/10.31548/machenergy2019.03.181.
Rogovskii I. L. (2019). Consistency ensure the recovery of agricultural machinery according to degree of resource's costs. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine. 10(4). 145-150. http://dx.doi.org/10.31548/machenergy2019. 04.145.
Rogovskii I. L. (2020). Algorithmicly determine the frequency of recovery of agricultural machinery according to degree of resource's costs. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine. 11(1). 155-162. http://dx.doi.org/10.31548/ machenergy2020.01.155.
Rogovskii I., Titova L., Novitskii A., Rebenko V. (2019). Research of vibroacoustic diagnostics of fuel system of engines of combine harvesters. Engineering for Rural Development. 18. 291-298.
Rogovskii Ivan. (2016). Graph-modeling when the response and recovery of agricultural machinery. MOTROL. Lublin. 18(3). 155-164.
Rogovskii I. L. (2020). Model of stochastic process of restoration of working capacity of agricultural machine in inertial systems with delay. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine. 11(3). 143-150. http://dx.doi.org/ 10.31548/machenergy2020.03.143.
Rogovskii I. L. (2021). Models of formation of engineering management alternatives in methods of increasing grain production in agricultural enterprises. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine. 12(1). 137-146. http://dx.doi.org/10.31548/machenergy2021.01.137.
Downloads
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
