The Methods for Accounting the Degree of Electric Machines Aging in the Assessment of their Reliability

The classification of the conventional methods for the assessment of the reliability from the point of view of the possibility of their application to different degrees of mean time between failures of electric machines is performed. The specific features of the processes of aging of the basic structural units and the methods for their accounting at the assessment of electric machines reliability are substantiated. The approaches to the development of the reliability model and the calculation of its basic characteristics, taking into account the real condition of electric machines and their main structural units, are systemized.

[1]  Mykhaylo Zagirnyak,et al.  Ways of efficiency improvement of local diagnostic of the cores of induction motor stators , 2015 .

[2]  Mykhaylo Zagirnyak,et al.  Grounds for efficiency and prospect of the use of instantaneous power components in electric systems diagnostics , 2006 .

[3]  N. Bianchi Electrical Machine Analysis Using Finite Elements , 2005 .

[4]  Damijan Miljavec,et al.  Taking stator cores properties into account when induction motors vibration parameters are calculated , 2013 .

[5]  Mikhaylo V. Zagirnyak,et al.  Correction of operating condition of a variable-frequency electric drive with a non-linear and asymmetric induction motor , 2013, Eurocon 2013.

[6]  V. Burko,et al.  Estimation of occupational safety risks at energetic sector of Iron and Steel Works , 2018 .

[7]  Mykhaylo Zagirnyak,et al.  Reliability models of electric machines with structural defects , 2015, 2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE).

[8]  Mykhaylo Zagirnyak The assessment of the processes of aging of the electric machines with structural unit defects using the genetic approach , 2019 .

[9]  Mykhaylo Zagirnyak,et al.  Models of reliability prediction of electric machine taking into account the state of major structural units , 2015 .

[10]  D. Miljavec,et al.  Estimate and taking into account change of steel losses in induction motors in process of their aging , 2009, IEEE EUROCON 2009.

[11]  Mykhaylo Zagirnyak,et al.  Use of neuronets in problems of forecasting the reliability of electric machines with a high degree of mean time between failures , 2016 .

[12]  Hamid A. Toliyat,et al.  Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis , 2012 .

[13]  V. Kukhar,et al.  Superplastic forming of shells from sheet blanks with thermally unstable coatings , 2018 .

[14]  Mykhaylo ZAGIRNYAK,et al.  of rnergy processes in circuits containing iron in saturation condition , 2011 .

[15]  R. Krishnan,et al.  Noise in electric machines: a review , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[16]  Mykhaylo Zagirnyak,et al.  Additional losses in permanent magnet brushless machines , 2010, Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010.

[17]  Jim J. Cathey,et al.  Electric Machines: Analysis and Design Applying MATLAB , 2000 .

[18]  Mykhaylo Zagirnyak,et al.  Models for electric machine reliability prediction at variation of the condition of basic structural units , 2017 .