Friction fault analysis method and system for large unit based on waveform and dimensionless learning

Abstract

The invention belongs to the technical field of fault detection, and discloses a method and system for analyzing friction faults of large units based on waveform and dimensionless learning, using double probes to extract vibration signals of machine faults, and preprocessing the data; and extracting friction fault features at the same time , using machine learning methods to establish a fault prediction model; predict whether there is a fault in the unknown label signal, and determine the type of fault. During the preprocessing of machine fault vibration signals and data, two probe points are installed to collect vibration dual-view signals of large sliding units; after the probes collect data, they are aligned for discrete Fourier transform and modified The final Fourier value; set the adaptive threshold according to the signal situation, reduce the signal storage capacity, and speed up the transmission. The invention can effectively solve the problem of difficult feature extraction in the friction fault diagnosis process of a large unit, and can extract effective features to solve the problem of fault prediction.

Description

technical field [0001] The invention belongs to the technical field of fault detection, and in particular relates to a friction fault analysis method and system for a large unit based on waveform and dimensionless learning. Background technique [0002] At present, the structure of large-scale equipment is complex, the functions are perfect, and the internal parts of the equipment are closely connected, which makes the production process high-speed and large-scale, which also makes the failure of large-scale equipment cause huge losses, which also increases It reduces the difficulty of fault diagnosis for mainframe equipment. When an object and another object move along the tangent direction of the contact surface or have a tendency to move relative to each other, there is a force between the contact surfaces of the two objects that hinders their relative movement. This force is called friction. This phenomenon or characteristic between contact surfaces is called "friction"...

AI Technical Summary

Problems solved by technology

[0005] Difficult feature extraction for friction faults, incomplete feature extraction, etc.

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