APPLICATION OF AUTOCORRELATED FUNCTIONS OF VIBROACOUSTIC VIBRATIONS IN THE DYNAMIC
SYSTEM OF THE MACHINE FOR IDENTIFICATION OF DEFECTS IN THE SPINDLE UNIT 

Ignatyev Alexander Anatolyevich, doctor of technical sciences, professor, sub-department of automation, control, mechatronics,
Saratov State Technical University named after Yu. A. Gagarin, E-mail: atp@sstu.ru
Dobryakov Vladimir Anatolyevich, candidate of technical sciences, associate professor, sub-department of automation,
control, mechatronics, Saratov State Technical University named after Yu. A. Gagarin, E-mail: atp@sstu.ru
Ignatyev Stanislav Aleksandrovich, doctor of technical sciences, professor, sub-department of automation, control, mechatronics,
Saratov State Technical University named after Yu. A. Gagarin, E-mail: atp@sstu.ru
Shamsadova Yakha Shaidovna, applicant, sub-department of automation, control, mechatronics, Saratov State Technical University
named after Yu. A. Gagarin, E-mail: atp@sstu.ru 

681.5 

Background. One of the most effective methods of identification of defects in the working equipment is vibrodiagnostic which cornerstone registration of vibroacoustic vibrations in the dynamic system of the machine, allocation of spectral components and establishment of their communication with defects is. The purpose of work is justification of a possibility of application of autocorrelated functions of vibroacoustic vibrations in the dynamic system of the machine when grinding a path of swing of rings of bearings for
identification of defects in a spindle unit.
Materials and methods. On the basis of the offered modified scheme of dynamic system of the machine the theoretical analysis of a possibility of allocation of base frequencies of the vibrations connected with defects in a spindle unit, with use of autocorrelated functions (AKF) of the registered vibroacoustic (VA) fluctuations is made.
Results. The offered technique of detection of defects in a spindle unit of the SIW-5 grinder allowed to recognize the defect consisting in an imbalance of an abrasive wheel. By decomposition of AKF in a row Fourier can establish availability of other
defects of bearing support of a spindle unit.
Conclusions. Theoretical and pilot studies of VA of fluctuations of dynamic system of grinders showed that by means of AKF it is possible to separate rather effectively accidental components of fluctuations from determined, connected with defects of a spindle unit. 

automated machine, dynamic system, vibroacoustic vibrations, autocorrelated function, spindle unit, identification of defects