Rotary mechanical fault diagnosis method based on analytical modal decomposition

Abstract

The invention relates to a rotary mechanical fault diagnosis method based on analytical modal decomposition. The rotary mechanical fault diagnosis method comprises the following steps: (1) if the fault character frequencies possibly existing in a certain rotary machine are f1, f2, f3, ..., fn, carrying out the analytical modal decomposition on original vibration signals, and extracting the signals of frequency bands of the fault character frequencies; (2) determining the frequency spectrums of all the extracted signals to determine whether the components of the fault character frequencies exist in the frequency spectrums; (3) maintaining the signal frequency spectrums with the fault character frequencies, and removing the frequency spectrums without the fault character frequencies; (4) setting the fault character frequencies contained in the signals extracted through the analytical modal decomposition method to be f1, f2, f3, ..., fm, and judging whether faults and parts with failure exist in the rotary machine according to the contained components of the frequencies. The rotary mechanical fault diagnosis method has the advantages that the frequency component in the frequency spectrums of processed fault signals is relatively single, and the amplitude of the fault frequency is also increased. During processing, analysis and processing for other uncorrelated frequency component signals are omitted, and the processing time is shortened.

Description

technical field [0001] The invention relates to the technical field of mechanical fault diagnosis, in particular to a method for diagnosing a rotating mechanical fault based on analytical mode decomposition. Background technique [0002] Rotating mechanical equipment occupies a very important position in industrial production and is widely used in various important departments such as aviation, chemical industry, and metallurgy. Its quality directly affects the performance of the entire mechanical equipment, and its defects will cause abnormal vibration of the equipment, and even cause Equipment destroyed. It is very important to ensure the safe operation of rotating machinery and avoid accidents. Therefore, the fault diagnosis of rotating machinery has important practical significance. [0003] Chen and Wang proposed a new signal decomposition method called Analytical Mode Decomposition (AMD) in 2012. Its essence is to accurately separate a general time series into two ti...

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Problems solved by technology

[0002] Rotating mechanical equipment occupies a very important position in industrial production and is widely used in various important departments such as aviation, chemical industry, and metallurgy. Its quality directly affects the performance of the entire mechanical equipment, and its defects will cause abnormal vibration of the equipment, and even cause equipment destruction

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