Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 6
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

Laplace Transform is often used in solving the free vibration problems of structural beams. In existing research, there are two types of simplified models of continuous beam placement. The first is to regard the continuous beam as a single-span beam, the middle bearing of which is replaced by the bearing reaction force; the second is to divide the continuous beam into several simply supported beams, with the bending moment of the continuous beam at the middle bearing considered as the external force. Research shows that the second simplified model is incorrect, and the frequency equation derived from the first simplified model contains multiple expressions which might not be equivalent to each other. This paper specifies the application method of Laplace Transform in solving the free vibration problems of continuous beams, having great significance in the proper use of the transform method.

Go to article

Authors and Affiliations

H.B. Wen
T. Zeng
G.Z. Hu
Download PDF Download RIS Download Bibtex

Abstract

This paper is focused on multiple soft fault diagnosis of linear time-invariant analog circuits and brings a method that achieves all objectives of the fault diagnosis: detection, location, and identification. The method is based on a diagnostic test arranged in the transient state, which requires one node accessible for excitation and two nodes accessible for measurement. The circuit is specified by two transmittances which express the Laplace transform of the output voltages in terms of the Laplace transform of the input voltage. Each of these relationships is used to create an overdetermined system of nonlinear algebraic equations with the circuit parameters as the unknown variables. An iterative method is developed to solve these equations. Some virtual solutions can be eliminated comparing the results obtained using both transmittances. Three examples are provided where laboratory or numerical experiments reveal effectiveness of the proposed method.
Go to article

Bibliography

[1] D. Gizopoulos, Advances in electronic testing. Challenges and methodologies. (Springer, Dordrecht, 2006)
[2] P. Kabisatpathy, A. Barua and S. Sinha, Fault diagnosis of analog integrated circuits. (Springer, Dordrecht, 2005).
[3] Y. Sun (ed.), Test and diagnosis of analog mixed-signal and RF integrated circuits: the system on chip approach, (IET Digital Library, UK, 2008)
[4] D. Binu, B.S. Kariyappa, “A survey on fault diagnosis of analog circuits: Taxonomy and state of the art”, Int. J. Electron. Commun. (AEÜ), vol. 73, pp. 68-83, 2017. doi: 10.1016/j.aeue.2017.01.002.
[5] Z. Czaja, “Using a square-wave signal for fault diagnosis of analog parts of mixed-signal electronic embedded systems”, IEEE Trans. Instrum. Meas., vol. 57, pp. 1589-1595, 2008. doi: 10.1109/TIM.2008.925342
[6] H. Han, H. Wang, S. Tian, N. Zhang, “A new analog circuit fault diagnosis method based on improved Mahalanobis distance”, J. Electron. Test., vol. 29, pp. 95–102, 2013. https://doi.org/10.1007/s10836-012- 5342-z.
[7] Ch. Yang, S. Tian, B. Long, F. Chen, “Methods of handling the tolerance and test-point selection problem for analog-circuit fault diagnosis”, IEEE Trans. Instrum. Means., vol. 60, pp. 176-185, 2011. doi: 10.1109/TIM.2010.2050356
[8] Q.Z. Zhou, Y.L. Xie, X.F. Li, D.J. Bi, X. Xie, S.S. Xie, “Methodology and equipments for analog circuit parametric faults diagnosis based on matrix eigenvalues”, IEEE Trans. Appl. Superconductivity, vol. 24, pp. 1–6, 2014. https://doi.org/10.1109/TASC.2014.2340447.
[9] Y. Deng, Y. N. Liu, “Soft fault diagnosis in analog circuits based on bispectral models”, J. Electron. Test., vol. 33, pp. 543-557, 2017. https://doi.org/10.1007/s10836-017-5686-5.
[10] S. Djordjevic, M.T. Pesic, “A fault verification method based on the substitution theorem and voltage-current phase relationship”, J. Electron. Test., vol. 36, pp. 617-629, 2020. https://doi.org/10.1007/s10836-020- 05901-5.
[11] T. Gao, J. Yang, S. Jiang, “A novel incipient fault diagnosis method for analog circuits based on GMKL-SVM and wavelet fusion feature”. IEEE Trans. Instrum. Meas., vol. 70, 2021. https://doi.org/10.1109/TIM.2020.3024337.
[12] Y. Li, R. Zhang, Y. Guo, P. Huan, M. Zhang, “Nonlinear soft fault diagnosis of analog circuits based on RCCA-SVM”, IEEE Access., vol. 8, pp. 60951-60963, 2020. doi.org/10.1109/ACCESS.2020.2982246.
[13] M. Tadeusiewicz, S. Hałgas, “A new approach to multiple soft fault diagnosis of analog BJT and CMOS circuits”, IEEE Trans. Instrum. Meas., vol. 64, pp. 2688–2695, 2015. https://doi.org/10.1109/TIM.2015.2421712.
[14] M. Tadeusiewicz, S. Hałgas, “A method for local parametric fault diagnosis of a broad class of analog integrated circuits”, IEEE Trans. Instrum. Meas., vol. 67, pp. 328–337, 2018. https://doi.org/10.1109/TIM.2017.2775438.
[15] Y. Xie, X. Li, S. Xie, X. Xie, Q. Zhou, “Soft fault diagnosis of analog circuits via frequency response function measurements”, J. Electron. Test., vol. 30, pp. 243–249, 2014. https://doi.org/10.1007/s10836-014- 5445-9.
[16] M. Tadeusiewicz, S. Hałgas, M. Korzybski, “An algorithm for soft-fault diagnosis of linear and nonlinear circuits”, IEEE Trans. Circ. Syst.-I., vol. 49, pp. 1648-1653, 2002. doi: 10.1109/TCSI.2002.804596.
[17] M. Tadeusiewicz, S. Hałgas, “Soft fault diagnosis of linear circuits with the special attention paid to the circuits containing current conveyors”, Int. J. Electron Commun. (AEÜ), vol. 115, 2020. https://doi.org/10.1016/j.aeue.2019.153036.
[18] M. Tadeusiewicz and S. Hałgas, “A method for multiple soft fault diagnosis of linear analog circuits”, Measurement, vol. 131, pp. 714-722, 2019. doi: 10.1016/j.measurement.2018.09.001.
[19] M. Jahangiri, F. Razaghian, “Fault detection in analogue circuit using hybrid evolutionary algorithm and neural network”, Analog Int. Cir. Sig. Proc., vol. 80, pp. 551-556, 2014. https://doi.org/10.1007/s10470-014- 0352-7
[20] P. Jantos, D. Grzechca, J. Rutkowski, “Evolutionary algorithms for global parametric fault diagnosis in analogue integrated circuits”, Bull. Polish Acad. Scien., vol. 60, pp. 133-142, 2012. doi: 10.2478/v10175- 012-0019-4
[21] C. Yang, “Multiple soft fault diagnosis of analog filter circuit based on genetic algorithm”, IEEE Access., vol. 8, pp. 8193-8201, 2020. https://doi.org/10.1109/ACCESS.2020.2964054.
[22] D. Grzechca, “Soft fault clustering in analog electronic circuits with the use of self organizing neural network”, Metrol Meas Syst., vol. 8, pp. 555–568, 2011. doi: 10.2478/v10178-011-0054-8
[23] B. Long, M. Li, H. Wang, S. Tian, “Diagnostics of analog circuits based on LS-SVM using time-domain features”, Circuits Syst. Signal. Process., vol. 32, pp. 2683-2706, 2013. https://doi.org/10.1007/s00034-013-9614-3
[24] R. Sałat, S, Osowski, “Support Vector Machine for soft fault location in electrical circuits”, J. Intelligent Fuzzy Systems., vol. 22, pp. 21-31, 2011. doi: 10.3233/IFS-2010-0471.
[25] D. Grzechca, “Construction of an expert system based on fuzzy logic for diagnosis of analog electronic circuits”, Int. Journal of Electronic and Telecomunications, vol. 61, pp. 77-82, 2015. doi: 10.1515/eletel-2015- 0010
[26] P. Bilski, “Analysis of the ensemble of regression algorithms for the analog circuit parametric identification”, Measurement, vol. 170, pp. 503–514, 2020. https://doi.org/10.1016/j.measurement.2020.107829.
[27] M. Tadeusiewicz, M. Ossowski, “A verification technique for multiple soft fault diagnosis of linear analog circuits”, Int. Journal of Electronic and Telecomunications, vol. 64, pp. 83-89, 2018. doi: 10.24425/118150.
[28] M. Tadeusiewicz, M. Ossowski, “Modeling analysis and diagnosis of analog circuits in z-domain”, J. Circ. Syst. Comput, vol. 29, no. 02, 2020. https://doi.org/10.1142/S0218126620500280
[29] G. Fedi, S. Manetti, M.C. Piccirilli, J. Starzyk, “Determination of an optimum set of testable components in the fault diagnosis of analog linear circuits”, IEEE Trans. Circ. Syst.-I, vol. 46, pp. 779-787, 1999. doi: 10.1109/81.774222
[30] S. Manetti, M.C. Piccirilli, “A singular-value decomposition approach for ambiguity group determination in analog circuits”, IEEE Trans. Circ. Syst.-I, vol. 50 pp. 477-487, 2003. doi: 10.1109/TCSI.2003.809811.
[31] S. Saeedi, S.H. Pishgar, M. Eslami, “Optimum test point selection method for analog fault dictionary techniques”, Analog Integr. Circuits Signal Processing., vol. 100, pp. 167-179, 2019. https://doi.org/10.1007/s10470-019-01453-7.
[32] X. Tang, A. Xu, R. Li, M. Zhu, J. Dai, “Simulation-based diagnostic model for automatic testability analysis of analog circuit”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems., vol. 37, pp. 1483-1493, 2018. https://doi.org/10.1109/TCAD.2017.2762647.
Go to article

Authors and Affiliations

Michał Tadeusiewicz
1
Marek Ossowski
1
Marek Korzybski
1

  1. Lodz University of Technology, Department of Electrical, Electronic, Computer and Control Engineering, Lodz, Poland
Download PDF Download RIS Download Bibtex

Abstract

In this paper, a new simple method for determination of flow parameters, axial dispersion coefficients DL and Péclet numbers Pe was presented. This method is based on an accurate measurement model considering pulse tracer response. Our method makes it possible to test the character of gas flow motion and precisely measure flow parameters for different pressures and temperatures. The idea of combining the transfer function, numerical inversion of the Laplace transform and optimisation method gives many benefits like a simple and effective way of finding solution of inverse problem and model coefficients. The calculated values of flow parameters (DL and/or Pe) suggest that in the considered case the gas flow is neither plug flow nor perfect mixing under operation condition. The obtained outcomes agree with the gas flow theory. Calculations were performed using the CAS program type, Maple®.
Go to article

Authors and Affiliations

Małgorzata Wójcik
Mirosław Szukiewicz
Download PDF Download RIS Download Bibtex

Abstract

We introduce the Sobolev-type multi-term μ-fractional evolution with generalized fractional orders with respect to another function. We make some applications of the generalized Laplace transform. In the sequel, we propose a novel type of Mittag-Leffler function generated by noncommutative linear bounded operators with respect to the given function and give a few of its properties. We look for the mild solution formula of the Sobolev-type evolution equation by building on the aforementioned Mittag-Leffler-type function with the aid of two different approaches. We share new special cases of the obtained findings.
Go to article

Authors and Affiliations

Mustafa Aydin
1
ORCID: ORCID
Nazim Mahmudov
2 3
ORCID: ORCID

  1. Department of Medical Services and Techniques, Muradiye Vocational School, Van Yuzuncu Yil University, Tu¸sba 65080 Van, Turkey
  2. Department of Mathematics, Eastern Mediterranean University, Famagusta 99628 T.R. North Cyprus, Turkey
  3. Research Center of Econophysics, Azerbaijan State University of Economics (UNEC), Istiqlaliyyat Str. 6, Baku 1001, Azerbaijan
Download PDF Download RIS Download Bibtex

Abstract

The paper is a newapproach to the Duhamel integral. It contains an overviewof formulas and applications of Duhamel’s integral as well as a number of new results on the Duhamel integral and principle. Basic definitions are recalled and formulas for Duhamel’s integral are derived via Laplace transformation and Leibniz integral rule. Applications of Duhamel’s integral for solving certain types of differential and integral equations are presented. Moreover, an interpretation of Duhamel’s formula in the theory of operator semigroups is given. Some applications of Duhamel’s formula in control systems analysis are discussed. The work is also devoted to the usage of Duhamel’s integral for differential equations with fractional order derivative.
Go to article

Bibliography

[1] S. Abbas, M. Benchohra and G.M. N’Guerekata: Topics in Fractional Differential Equations. Springer, New York, 2012.
[2] R. Almeida, R. Kamocki, A.B. Malinowska and T. Odzijewicz: On the existence of optimal consensus control for the fractional Cucker– Smale model. Archives of Control Sciences, 30(4), (2020), 625–651, DOI: 10.24425/acs.2020.135844.
[3] J.J. Benedetto and W. Czaja: Integration and Modern Analysis. Brikhäuser, Boston, 2009.
[4] N. Bourbaki: Fonctions d’une Variable Réele. Hermann, Paris, 1976.
[5] M. Buslowicz: Robust stability of a class of uncertain fractional order linear systems with pure delay. Archives of Control Sciences, 25(2), (2015), 177–187.
[6] A.I. Daniliu: Impulse Series Method in the Dynamic Analysis of Structures. In: Proceedings of the Eleventh World Conference on Earthquake Engineering, paper no 577, (1996).
[7] S. Das: Functional Fractional Calculus. Second edition, Springer, Berlin, 2011.
[8] L. Debnath and D. Bhatta: Integral Transforms and their Applications. Third edition, CRC Press – Taylor & Francis Group, Boca Raton, 2015.
[9] V.A. Ditkin and A.P. Prudnikov: Integral Transforms and Operational Calculus. Pergamon Press, Oxford, 1965.
[10] G. Doetsch: Handbuch der Laplace-Transformation. Band I, Brikhäuser, Basel, 1950.
[11] D.T. Duc and N.D.V. Nhan: Norm inequalities for new convolutions and their applications. Applicable Analysis and Discrete Mathematics, 9(1), (2015), 168–179, DOI: 10.2298/AADM150109001D.
[12] K.J. Engel and R. Nagel: One-Parameter Semigroups for Linear Evolution Equations. Springer, New York, 2000.
[13] K.J. Engel and R. Nagel: A Short Course on Operator Semigroups. Springer, New York, 2006.
[14] T.M. Flett: Differential analysis. Cambridge University Press, Cambridge, 2008.
[15] J.F. Gomez-Aguilar, H. Yepez-Martinez, C. Calderon-Ramon, I. Cruz- Orduna, R.F. Escobar-Jimenez and V.H. Olivares-Peregrino: Modeling of mass-spring-damper system by fractional derivatives with and without a singular kernel. Entropy, 17(9), (2015), 5340–5343, DOI: 10.3390/e17096289.
[16] M.I. Gomoyunov: Optimal control problems with a fixed terminal time in linear fractional-order systems. Archives of Control Sciences, 30(4), (2020), 721–744, DOI: 10.24425/acs.2020.135849.
[17] R. Gorenflo and F. Mainardi: Fractional calculus: Integral and differential equations of fractional order. In: A. Carpinteri and F. Mainardi (Eds.), Fractals and Fractional Calculus in Continuum Mechanics, Springer-Verlag, Wien, 1997.
[18] R. Grzymkowski and R. Witula: Complex functions and Laplace transform in examples and problems. Pracownia Komputerowa Jacka Skalmierskiego, Gliwice, 2010, (in Polish).
[19] V.A. Ilin, V.A. Sadovniczij and B.H. Sendov: Mathematical Analysis, Initial Course. Moscow University Press, Moscow, 1985, (in Russian).
[20] V.A. Ilin, V.A. Sadovniczij and B.H. Sendov: Mathematical Analysis, Continuation Course. Moscow University Press, Moscow, 1987, (in Russian).
[21] T. Kaczorek: Realization problem for fractional continuous-time systems. Archives of Control Sciences, 18(1), (2008), 43–58.
[22] T. Kaczorek: A new method for computation of positive realizations of fractional linear continuous-time systems. Archives of Control Sciences, 28(4), (2018), 511–525, DOI: 10.24425/acs.2018.125481.
[23] K.S. Kazakov: Dynamic response of a single degree of freedom (SDOF) system in some special load cases, based on the Duhamel integral. In: Proceedings of the EngOpt 2008: International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 2008.
[24] N.S. Khabeev: Duhamel integral form for the interface heat flux between bubble and liquid. International Journal of Heat andMass Transfer, 50(25), (2007), 5340–5343, DOI: 10.1016/j.ijheatmasstransfer.2007.06.012.
[25] J. Klamka and B. Sikora:Newcontrollability criteria for fractional systems with varying delays. Theory and applications of non-integer order systems in Lecture Notes in Electrical Engineering, 407, (2017), 333–344.
[26] M. Klimek: On Solutions of Linear Fractional Differential Equations of a Variational Type. Wydawnictwo Politechniki Częstochowskiej, Częstochowa, 2009.
[27] M.I. Kontorowicz: The Operator Calculus and Processes in Electrical Systems. Wydawnictwo Naukowo-Techniczne, Warsaw, 1968, (in Polish).
[28] M.I. Krasnov , A.I. Kiselev and G.I. Makarenko: Functions of a Complex Variable, Operational Calculus, and Stability Theory, Problems and Exercises. Mir Publishers, Moscow, 1984.
[29] L.D. Kudryavtsev: Course of Mathematical Analysis. Volume 2, Higher School Press, Moscow, 1988, (in Russian).
[30] M.A. Lavrentev and B.V. Shabat: Methods of the Theory of Functions of a Complex Variable. Nauka, Moscow, 1973, (in Russian).
[31] Sz. Lubecki: Duhamel’s theorem for time-dependent thermal boundary conditions. In: R.B Hetnarski (Ed.), Encyclopedia of Thermal Stresses, Springer Netherlands, New Delhi, 2014.
[32] E. Łobos and B. Sikora: Advanced Calculus – Selected Topics. Silesian University of Technology Press, Gliwice, 2009.
[33] Z. Łuszczki: Application of general Bernstein polynomials to proving some theorem on partial derivatives. Prace Matematyczne, 2(2), (1958), 355–360, (in Polish).
[34] J. Mikusinski: On continuous partial derivatives of function of several variables. Prace Matematyczne, 7(1), (1962), 55–58, (in Polish).
[35] S. Mischler: An introduction to evolution PDEs, Chapter 3 – Evolution Equation and semigroups, Dauphine Université Paris, published online: www.ceremade.dauphine.fr/~mischler/Enseignements/M2evol1516/chap3.pdf.
[36] N.Nguyen Du Vi, D. Dinh Thanh and T. Vu Kim:Weighted norminequalities for derivatives and their applications. Kodai Mathematical Journal, 36(2), (2013), 228–245.
[37] J. Osiowski: An Outline of the Operator Calculus.Wydawnictwo Naukowo- Techniczne, Warsaw, 1981, (in Polish).
[38] G. Petiau: Theory of Bessel’s Functions. Centre National de la Recherche Scientifique, Paris, 1955, (in French).
[39] K. Rogowski: Reachability of standard and fractional continuous-time systems with constant inputs. Archives of Control Sciences, 26(2), (2016), 147–159, DOI: 10.1515/acsc-2016-0008.
[40] F.A. Shelkovnikov and K.G. Takaishvili: Collection of Problems on Operational Calculus. Higher School Press, Moscow, 1976, (in Russian).
[41] B. Sikora: Controllability of time-delay fractional systems with and without constraints. IET Control Theory & Applications, 10(3), (2019), 320–327.
[42] B. Sikora: Controllability criteria for time-delay fractional systems with retarded state. International Journal of Applied Mathematics and Computer Science, 26(6), (2019), 521–531.
[43] B. Sikora and J. Klamka: Constrained controllability of fractional linear systems with delays in control. Systems & Control Letters, 106, (2017), 9–15.
[44] B. Sikora and J. Klamka: Constrained controllability of fractional linear systems with delays in control. Kybernetika, 53(2), (2017), 370–381.
[45] B. Sikora: On application of Rothe’s fixed point theorem to study the controllability of fractional semilinear systems with delays. Kybernetika, 55(4), (2019), 675–698.
[46] B. Sikora and N. Matlok: On controllability of fractional positive continuous-time linear systems with delay. Archives of Control Sciences, 31(1), (2021), 29–51, DOI: 10.24425/acs.2021.136879.
[47] J. Tokarzewski: Zeros and the output-zeroing problem in linear fractionalorder systems. Archives of Control Sciences, 18(4), (2008), 437–451.
[48] S. Umarov: On fractional Duhamel’s principle and its applications. Journal of Differential Equations, 252(10), (2012), 5217–5234.
[49] S. Umarov and E. Saydamatov: A fractional analog of the Duhamel principle. Fractional Calculus & Applied Analysis, 9(1), (2006), 57–70.
[50] S. Umarov and E. Saydamatov: A generalization of Duhamel’s principle for differential equations of fractional order. Doklady Mathematics, 75(1), (2007), 94–96.
[51] C. Villani: Birth of a Theorem, Grasset & Fasquelle, 2012, (in French).
Go to article

Authors and Affiliations

Michał Różański
1
Beata Sikora
1
ORCID: ORCID
Adrian Smuda
1
Roman Wituła
1

  1. Department of Applied Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland

This page uses 'cookies'. Learn more