The Prediction Oriented Analysis of Mechatronic Machine Structures in Terms of the Signal Stream Flow

Abstract:

Article Preview

The article describes an approach dedicated to a hybrid representation of mechatronic systems combining matrix and block notations. The main attention is focused on the identification of relationships between mechatronic machines in respect of functional reliability (analysed in the form of block and digraph notations) and rules that allow for the simplification of the reliability function in the systems of machines connected in parallel, series and complex arrangement. The author has adopted a functional representation based on system demonstration employing a binary function of reliability in which the equation is determined based on the method for setting minimum paths in the graph (structural representation of each subsystem). The introduced assumption allows reducing any structure to a serial connection of functional blocks. The author of the paper has also described a manner of implementation in real systems. This article does not include the description of the method used for determining the reliability function, but only theoretical assumptions used in case of identifying functional dependencies.

Info:

Periodical:

Solid State Phenomena (Volumes 220-221)

Edited by:

Algirdas V. Valiulis, Olegas Černašėjus and Vadim Mokšin

Pages:

423-428

Citation:

M. P. Hetmańczyk, "The Prediction Oriented Analysis of Mechatronic Machine Structures in Terms of the Signal Stream Flow", Solid State Phenomena, Vols. 220-221, pp. 423-428, 2015

Online since:

January 2015

Export:

Price:

$38.00

* - Corresponding Author

[1] B.S. Dhillon, Engineering Maintenance – A Modern Approach, CRC Press, New York, (2002).

[2] J. Świder, G. Wszołek, K. Foit, P. Michalski, S. Jendrysik, Example of the analysis of mechanical system vibrations in GRAFSIM and CATGEN software, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 391–394.

[3] M.P. Hetmanczyk, P. Michalski, J. Świder, Utilization of advanced self-diagnostic functions implemented in frequency inverters for the purpose of the computer-aided identification of operating conditions, Journal of Vibroengineering 14 (2012).

[4] R.K. Mobley, Root cause failure analysis, Butterworth-Heinemann, Oxford, (1999).

[5] J. Korbicz, J. Kościelny, Z. Kowalczuk, W. Cholewa, Processes diagnostic: models, methods of the artificial intelligence, applications, WNT, Warsaw, (2002).

[6] M.P. Hetmańczyk, The multilevel prognosis system based on matrices and digraphs methods, Solid State Phenomena, Mechatronic Systems and Materials 199 (2013) 79–84.

DOI: https://doi.org/10.4028/www.scientific.net/ssp.199.79

[7] M.P. Hetmańczyk, The reliability model of a AC-asynchronous drive based on the multilevel prognosis system based on matrices and digraphs methods, Solid State Phenomena, Mechatronic Systems and Materials 199 (2013) 85–90.

DOI: https://doi.org/10.4028/www.scientific.net/ssp.199.85

[8] J. Świder, M. Hetmańczyk, Adaptation of the expert system in diagnosis of the connection of the PLC user interface system and field level, Solid State Phenomena 164 (2010) 201–206.

DOI: https://doi.org/10.4028/www.scientific.net/ssp.164.201

[9] N. Limnios, Fault Trees, ISTE Ltd, London, (2007).

[10] I. Ryabinin, Reliability of Engineering Systems, MIR Publishers, Moscow, (1976).

[11] C.R. Edwards, The logic of Boolean matrices, The Computer Journal 15 (1971) 247–253.

[12] J. Świder, M. Hetmańczyk, Method of indirect states monitoring of dispersed electric drives, in: Proceedings of the The Sixth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 2009 1171–1179.