Fault identification method and system based on vibration signal imaging

Abstract

The invention discloses a fault identification method based on vibration signal imaging, which comprises the following steps: acquiring a key phase time domain signal sequence acquired by a key phase sensor and a vibration time domain signal sequence acquired by a vibration sensor, and constructing a function relationship between any phase and time and a function relationship between a vibration signal and time; performing order analysis on the function relationship between the vibration signal and the time to obtain the function relationship between the vibration signal and any phase, and performing short-time Fourier transform to obtain a transformed vibration-phase signal frequency spectrum; constructing a vibration image along a time sequence by using the transformed vibration-phase signal frequency spectrum, performing feature extraction on a formed image training sample set, and performing dimension reduction on a vibration feature vector to obtain a dimension-reduced feature sample set; and carrying out clustering analysis on the feature sample set after dimension reduction by using a K-means clustering algorithm, and determining a fault category. The vibration data is converted into the image data, lossy compression is carried out, and the data processing speed and efficiency are improved.

Description

technical field [0001] The invention relates to the field of generation and processing of image data, in particular to a fault identification method and system based on vibration signal imaging. Background technique [0002] Vibration exists in various engineering applications such as machinery, vehicles, construction, and aerospace. Engineering structures and equipment generate a large number of vibration signals during the operation process, which contains rich information on the internal characteristics of the structure and equipment operating conditions. It is an important information representation that reflects the state of the system and its changing laws, and directly affects the safe operation of engineering structures and equipment. . [0003] High-frequency vibration signals require a large amount of data to represent, so data compression must be performed on them. However, in the process of compression, higher requirements will be placed on the transmission med...

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Problems solved by technology

These data do not play a beneficial role in analyzing the operating status of equipment, diagnosing equipment failures, etc., but will drag down the efficiency of computer processing data

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