Method for eliminating abnormal interference on detection for mechanical vibration signals

Abstract

The invention provides a method for eliminating abnormal interference on detection for mechanical vibration signals. The method mainly includes steps of 1, performing first-order difference on acquired signals and rotationally scanning difference signals to determine an initial pulse boundary; 2, determining an effective amplitude upper limit of the signals and an amplitude lower limit of pulses, retrieving efficient points in processed signals, performing high-order smoothing on the processed signals, interpolating non-efficient points in a sequence to form sequence spreading signals; 3, subtracting the smoothed sequence spreading signals from the processed signals to obtain new signals; 4, using the new signals as processed signals if the processed signals are greatly different from the new signals, adjusting a pulse boundary value and repeating the step 3, or intercepting pulse from the new signals if the processed signals are not greatly different from the new signals, reconstructing the pulse to form pulse interference signals; 5, eliminating pulse interference from the acquired signals to obtain the mechanical vibration signals. The method has the advantages of high speed and precision and good selectivity and controllability, and has a wide application prospect in the field of wireless data transmission, speech processing and acoustic vibration signal processing for mechanical equipment.

Description

technical field [0001] The invention relates to the field of mechanical equipment state detection and fault diagnosis, in particular to a method for eliminating abnormal interference in mechanical vibration signal detection, which is a method for detecting abnormal interference caused by motor excitation during the measurement process of mechanical vibration signals and during background signal preprocessing and elimination method. Background technique [0002] In the process of measuring vibration signals of mechanical equipment, especially when the power machine is a motor and the vibration signal is detected through wireless, the interference generated by electromagnetic excitation is very strong, and it is difficult to effectively suppress it with general methods, and may even lead to the failure of the detection work. The easiest way to eliminate these interferences is to use electromagnetic shielding cables, but this cannot be realized in the field of wireless measurem...

AI Technical Summary

Problems solved by technology

[0002] In the process of measuring vibration signals of mechanical equipment, especially in the case where the power machine is a motor and the vibration signal is detected through wireless, the interference generated by electromagnetic excitation is very strong, and it is difficult to effectively suppress it with general methods, and it may even lead to the failure of the detection work

The easiest way to eliminate these interferences is to use electromagnetic shielding cables, but this cannot be realized in the field of wireless measurement, which greatly affects the application of wireless measurement technology in mechanical equipment status detection and real-time fault diagnosis

[0003] Generally speaking, for non-stationary signals with local strong interference, since both the signal and the interference itself contain very complex frequency components, it is difficult to filter them out directly with digital filters.

Whether it is EMD method, Kalman filter, polynomial regression processing of interference signal, wavelet analysis, combined filter, independent component analysis, adaptive filter algorithm, neural network technology, etc., all methods have certain limitations and cannot adapt to various Signal filtering (or separation) processing of working conditions

Especially to eliminate power frequency interference with complex signal structure and parameter drift, there is no very effective method at present

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