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Unsteady-state signal detection method based on 1/3 binary tree sparse spectrogram

A signal detection, non-stationary technology, applied in the field of analysis and detection of non-stationary signals, can solve the problems of small amplitude, noise submergence, inability to obtain features, etc., to achieve the effect of good acquisition and high accuracy

Inactive Publication Date: 2014-08-06
SUZHOU INST FOR ADVANCED STUDY USTC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, for the unsteady signal with short duration in the signal, it appears as a small amplitude in the spectrum, or even submerged by noise, and it is often impossible to obtain significant features through frequency domain analysis and detection.

Method used

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  • Unsteady-state signal detection method based on 1/3 binary tree sparse spectrogram
  • Unsteady-state signal detection method based on 1/3 binary tree sparse spectrogram
  • Unsteady-state signal detection method based on 1/3 binary tree sparse spectrogram

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Experimental program
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Embodiment

[0034] This embodiment describes the detection of local faults on the outer ring of the bearing. The outer ring, inner ring and rolling elements of the bearing are the main parts of the bearing fault. Local faults (such as local spalling, corrosion, etc.) It often leads to unsteady impact in the vibration of the bearing. When the bearing speed is constant, there will be periodic unsteady impact components in the vibration signal. However, due to the short duration of the vibration caused by local faults, and the unsteady shock is often mixed in the background noise, the performance is not obvious. The energy increase of the time domain signal is not significant, and the frequency band in the frequency domain is wider. Not easy to detect.

[0035] The experimental object is the roller bearing commonly used in trains, the model is NJ(P)3226X1, and the main mechanism parameters are shown in Table 1. During the test, the piezoelectric acceleration sensor is installed on the housi...

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Abstract

The invention provides an unsteady-state signal detection method based on a 1 / 3 binary tree sparse spectrogram. The method includes: mounting an acceleration sensor on a casing of equipment to be detected, detecting vibration acceleration signals of the equipment to use as detection signals x(t), using 1 / 3 binary tree structured filter bank to filter the signals x(t) to obtain filter signals, calculating sparse values of subband signals obtained by filtering, drawing a sparse spectrogram of the signals x(t) according to the 1 / 3 binary tree structure, finding a subband corresponding to the largest sparse value in the sparse spectrogram, checking the signal of the subband after filtering, and demodulating the signal and analyzing a frequency spectrum of the signal to obtain a fault related unsteady-state signal frequency so as to judge a fault corresponding to the unsteady-state signal frequency.

Description

technical field [0001] The invention relates to a method for analyzing and detecting unsteady signals, in particular to a method for detecting unsteady signals reflecting fault characteristics in vibration signals. Background technique [0002] For the detection of unsteady components in the signal, it has a wide range of applications in the fields of fault diagnosis and state monitoring of mechanical equipment, and detection of biomedical signals. [0003] The most common detection method of non-stationary components is to observe whether there are non-stationary components in the time-domain signal, but since noise is inevitably mixed in the detection process, the non-stationary components that represent faults will also be polluted by noise , the accuracy and efficiency of direct observation are very low. [0004] Another commonly used method is to analyze the periodic features in the signal through the frequency domain. However, for the non-stationary signal with short...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M99/00G01H17/00
Inventor 沈长青王冬
Owner SUZHOU INST FOR ADVANCED STUDY USTC