Real-time condition monitoring of gear pumps by the recurrent selection of the noise and periodic components of vibration

The paper is devoted to the new method of vibration analysis by means of the system for Real-Time Condition Monitoring of machinery (RTCM). The speed of generation and delivery of diagnostic instructions to the personnel by the RTCM systems must exceed the rate of industrial equipment degradation.

The paper presents the research on the regularity in formation of mixture of noise and periodic components of vibrations (MNPCV) of a pump. A generalized static diagnostic model of vibration has been developed to provide diagnostics of the unit by the method of recurrent selection of components from MNPCV in time and frequency domain.

The research shows that MNPCV are generated by a random process of occurrence and development of malfunctions and defects in the pump. With regard to vibration analysis, the principle of information completeness (π-principle) has been formulated. It states that in order to improve the credibility it is necessary to combine selection and use of MNPCV blocks for vibration analysis, which together form complete statistical group.

The paper illustrates the efficiency of the proposed methods in the diagnostics of defects of tooth gear, bearing, especially in the heavily loaded antifriction bearing with the radial clearance.

Kostyukov V.N. Real-time condition monitoring of gear pumps by the recurrent selection of the noise and periodic components of vibration // The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM-2012/MFPT-2012)

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