Early fault analysis and feature extraction method for equipment vibration signal under variable speed working condition

Abstract

The invention discloses an early fault analysis and feature extraction method for an equipment vibration signal under a variable-speed working condition, and the method comprises the steps: synchronously collecting an equipment vibration signal and a rotating speed pulse signal at a high speed, carrying out the envelope extraction of a high-frequency vibration signal, recognizing the pulse edge time scale of the rotating speed pulse signal, estimating the instantaneous rotating frequency, and calculating an angle domain sampling time sequence; and carrying out vibration envelope signal digital tracking anti-aliasing filtering, original vibration envelope signal order tracking sampling, and specific envelope signal FFT analysis. The problems of early fault signal analysis and fault feature extraction of equipment such as bearings and gearboxes under the variable-speed working condition are effectively solved, and the signal analysis precision and the fault diagnosis accuracy are improved.

Description

technical field [0001] The invention belongs to the technical field of equipment failure analysis, and in particular relates to the fields of condition monitoring, predictive maintenance and fault diagnosis of rotating equipment at production sites in the nuclear power industry. Background technique [0002] The vibration signals of rolling bearings, gearboxes and other equipment have the characteristics of time-varying, strong noise, and complex frequency components. The spectrum includes both gearbox components (sun gear, planetary gear, ring gear, etc.), bearing components (inner ring, outer ring, Rolling body, etc.) own characteristic frequency, which also includes the meshing frequency of each gear pair, and the vibration coupling information of power input and load equipment. [0003] Early defects of gearbox and bearing components will generate weak periodic shock pulse signals. These pulse signals have weak anti-interference ability and low stability, and are often c...

AI Technical Summary

Problems solved by technology

However, the operating conditions of industrial field equipment are complex, and they often encounter unsteady environments such as variable speeds and variable working conditions. The traditional resonance demodulation technology is not effective. Condition monitoring and fault diagnosis of bearings and gearboxes

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