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            диагностирования не более 11%.
                  Ключевые слова: ферромагнитный материалл, доменная стенка, магнитное
            поле,  магнитоупругая  акустическая  эмиссия,  математическая  модель,  информа-
            тивные параметры сигнала, алгоритмы оценки, методика диагностирования, нап-
            ряженное состояние.

                                                           ABSTRACT

                  Melnyk N. P. Development of the method of magnetoelastic acoustic emission for
            the  state  diagnostics  of  long-term  exploitation  of  the  ferromagnetic  construction
            elements. – Manuscript.
                  The thesis is submitted for Ph.D. degree in technical sciences, speciality 05.02.10 –
            Diagnostics of Materials and Constructions. – Karpenko Physico-Mechanical Institute of
            the National Academy of Sciences of Ukraine, Lviv, 2019.
                  The dissertation is aimed at solving the significant scientific and technical problem
            consists in the development of the method for diagnostic of the condition of the long-term
            exploited  ferromagnetic  elements  of  constructions  on  the  parameters  of  the  signal  of
            magnetoelastic  acoustic  emission  (MAE).  This  method  is  based  on  the  analysis  of  the
            mechanism of generation of the MAE, selection and substantiation of the statistical model
            of the registered signal, development of effective algorithms for processing the result of
            the received signals as well as the method for diagnostic of ferromagnetic objects.
                  Based on the energy approach, a mathematical model of motion of 90° domain wall
            during  the  ferromagnetic  re-magnetization  is  developed.  The  relation  ship  between
            parameters of the jump of 90° domain wall and the parameters of the MAE signal and the
            tested ferromagnetic material is established.
                  Distinct features of the MAE signal are found, in particular, the random occurrence of

            individual events in time, time boundedness, and amplitude randomness. The model of the
            MAE  signal  in  the  framework  of  statistical  model  of  the  random  impulse  flow  is
            developed. The impulse, time and spectral characteristics of the pulse signal at the output
            of the primary piezoelectric converter are singled out.
                  Informative  parameters  of  the  MAE  signal  and  algorithms  for  their  estimation
            together  with  an  experimental  verification  have  been  proposed  and  substantiated.  High
            sensitivity of these parameters to structural changes of ferromagnetic material, influence of
            physico-chemical  and  mechanical  factors,  parameters  of  the  re-magnetizing  field  is
            revealed.
                  Based on the proposed informative parameters of the MAE signal, the technique for
            diagnostic of the stress state of ferromagnetic materials is developed and its experimental
            testing on long-term exploited pipe steels is carried out. This technique makes it possible
            to identify areas of residual stresses and in practice provide an error less than 11%.
                  Keywords:  ferromagnetic  material,  domain  wall,  magnetic  field,  magnetoelastic
            acoustic emission, mathematical model, information parameters of the signal, evaluation
            algorithms, diagnostic method, stress state.
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