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Bearing and Fault Frequency Identification Based on Vibration Spectrogram

A technology of fault frequency and vibration spectrum, applied in the direction of rotating bearing, rolling contact bearing, bearing, etc., can solve the problem that it is difficult to distinguish between bearing fault peak and general noise peak.

Active Publication Date: 2022-03-22
COMPUTATIONAL SYST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Otherwise, it is difficult to distinguish bearing fault peaks from general noise peaks

Method used

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  • Bearing and Fault Frequency Identification Based on Vibration Spectrogram
  • Bearing and Fault Frequency Identification Based on Vibration Spectrogram
  • Bearing and Fault Frequency Identification Based on Vibration Spectrogram

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Embodiment Construction

[0055] Such as figure 2 As shown, the vibration measurement and analysis system includes a vibration sensor 16 attached to the machine 12 . image 3 shows the use of figure 2 The system performs process 100 for collecting and analyzing vibration data to identify types of bearing failures in machine 12 . Machine 12 includes at least one rotating component 14, such as a shaft supported by bearings B1, B2 and B3. Vibration sensors 16 are preferably placed at vertical, horizontal and axial locations at each bearing location on machine 12 . Thus, there may be three sensors 16 associated with each bearing B1, B2 and B3. Vibration sensor 16 generates vibration signals indicative of vibrations of machine 12, which includes vibrating components associated with bearings B1, B2, and B3. Via one or more vibration data collectors, such as portable vibration analyzer 18 or continuous on-line vibration monitoring system 20, the vibration signal is received, conditioned and converted in...

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Abstract

Vibration measurement and analysis systems identify faulty bearings in machines based on spectral vibration data. The system includes a vibration sensor attached to the machine that generates a vibration signal. The vibration data collector generates vibration spectrum data according to the vibration signal. The vibration spectrum data includes amplitude versus frequency data including peak amplitudes at corresponding peak frequencies. At least some of the peak amplitudes are associated with vibrations produced by the faulty bearing. A vibration analysis computer processes the vibration spectrum data to (1) locate the maximum peak amplitude, (2) search a library of bearing fault frequencies to generate a list of identified bearings with bearing fault frequencies corresponding to the peak frequency of the maximum peak amplitude matching, (3) determining a normalized accuracy error for each identified bearing, and (4) selecting the identified bearing with the smallest normalized accuracy error from the list.

Description

technical field [0001] The invention relates to the field of machine vibration data analysis. More specifically, the present invention relates to a system for analyzing the vibration spectrum of a predictive maintenance machine to determine whether a bearing fault exists, and if so, the type of fault. Background technique [0002] Such as figure 1 As shown, a typical rolling bearing includes an outer ring, an inner ring, a cage area disposed between the inner ring and the outer ring, and rolling elements (balls) disposed in the cage. Such rolling bearings have specific bearing failure modes that can be observed in vibration spectrum data. Because the bearing frequency is the defect frequency, the vibration spectrum peak frequencies associated with bearing defects are very different from certain other vibration frequencies present in the machine vibration spectrum. Each defect frequency is associated with a specific component of the bearing. For example, if a defect frequ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045
CPCG01M13/045F16C19/527F16C19/06F16C2233/00F16C19/04
Inventor A·J·海森
Owner COMPUTATIONAL SYST