Mechanical fault diagnosis method based on vision

A technology of mechanical failure and diagnosis method, which is applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc. It can solve problems affecting measurement results, time-consuming, and labor-consuming, and achieve good flexibility and labor-saving , low-cost effect

Pending Publication Date: 2020-04-24
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0003] In the prior art, accelerometers are usually used for contact measurement of vibration, and the measurement accuracy is relatively high. However, when the mass of the measured object is small, the addition of the mass of the accelerometer will affect the measurement results; when measuring large objects When a large number of accelerometers are installed on the surface, it will be time-consuming and labor-intensive
And in some dangerous occasions such as high temperature, high pressure, vacuum, etc., it is not suitable to use accelerometers for measurement.

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  • Mechanical fault diagnosis method based on vision
  • Mechanical fault diagnosis method based on vision
  • Mechanical fault diagnosis method based on vision

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Embodiment Construction

[0056] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0057] The present invention as figure 1 As shown, follow the steps below to diagnose:

[0058] 1), with the video image sequence of the running mechanical fault bearing as input, the local amplitude and local phase of the local motion are obtained by filtering with a Gabor filter;

[0059] Step 1) specifically: at t 0 time, the image intensity value I(x,y,t) of the image sequence in the video 0 ) Convolute the two-dimensional Gabor filter and the image intensity ...

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Abstract

The invention discloses a mechanical fault diagnosis method based on vision. The invention relates to the field of mechanical fault diagnosis. According to the mechanical fault diagnosis method basedon vision, vibration signals of a fault rolling bearing are obtained based on vision, and the fault type is determined. According to the technical scheme, diagnosis is carried out according to the following steps that (1) a video image sequence of a running mechanical fault bearing serves as input, and the local amplitude and the local phase of local motion are obtained; 2) motion extraction is carried out according to the obtained local phase; 3) empirical mode decomposition is carried out; 4) an intrinsic mode function is calculated to obtain a correlation coefficient, 5) an envelope spectrum is drawn, and 6) the fault characteristic frequency of the bearing fault is calculated. The vibration measurement technology based on the vision is low in cost, high in flexibility, capable of remote measurement and the like, and thus can be widely applied, and the vibration measurement method based on the vision has significance in future research and development.

Description

technical field [0001] The invention relates to the field of mechanical fault diagnosis, in particular to a vision-based mechanical fault diagnosis method. Background technique [0002] With the rapid development of science and technology, rotating machinery has been more and more widely used in modern industry, and rotating machinery equipment is also playing an increasingly important role in modern industry. Rolling bearings are a very important part of rotating machinery and are used in different rotating machinery. The main cause of mechanical failure is caused by bearing failure. Among the failures of rotating machinery equipment, rolling bearing failures account for 70%, and 80% of motor failures are caused by motor bearing failures. The failure of rolling bearings will inevitably lead to abnormal operation of mechanical devices, and even lead to catastrophic consequences; bearing failures in motor drive systems will generate mechanical noise and attenuate the quality...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 彭聪刘彬江驹甄子洋
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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