Fault data processing method and system and fault prediction method

Abstract

The invention provides a fault data processing method and system and a fault prediction method, which are applied to a rolling bearing, and the fault data processing method comprises the following steps: collecting time domain vibration signals of the rolling bearing under different fault conditions; for the time domain vibration signal under each fault condition, carrying out variational mode decomposition on the time domain vibration signal to obtain a plurality of two-dimensional images; according to the two-dimensional image, using a histogram of oriented gradient algorithm to extract and obtain corresponding image features; and carrying out dimension reduction processing on the image features by adopting a multi-dimensional scaling analysis algorithm, and carrying out processing to obtain fault data corresponding to the current fault condition. According to the method, the collected time domain vibration signals are converted into the digital images, the intuition is high, the fault detection problem is converted into the image recognition method, the traditional characteristic parameter operation process is converted into the gray value operation process of the gray image, the characteristic operation time is greatly shortened, and the processing process is simplified.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fault data processing method, system and fault prediction method. Background technique [0002] Rolling bearings are important components in electromechanical equipment, and are also one of the vulnerable parts of the equipment. Their condition has a decisive impact on the safe operation and function realization of the entire system. Effective fault diagnosis of rolling bearings can not only prevent the decline of mechanical precision and prevent safety accidents, but also improve the performance, stability and service life of electromechanical equipment. [0003] Under working conditions, the data acquisition of rolling bearings will be affected by various complex environments such as load, lubrication conditions, and vibration between parts, and weaker fault features will be submerged in strong noise signals and cannot be collected. ; Therefore, the key to realizing...

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Problems solved by technology

[0005] In view of the above shortcomings of the prior art, the purpose of the present invention is to provide a fault data processing method, system and fault prediction method, so as to improve the fault feature extraction difficulty in the fault prediction method in the prior art, and the huge amount of data processing engineering, etc. technical problem

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