Diagnosis method of mechanical composite faults

Abstract

The invention discloses a diagnosis method of mechanical composite faults. The diagnosis method includes the following steps that empirical mode decomposition is used for decomposing a composite fault signal into a plurality of IMF components; the characteristic quantity of each IMF component is extracted, and a fault sample data network model is established; each IMF component is regarded as a community in a network, and similar communities are merged according to the characteristics that internal connection of a community structure of a complicated network is tight and external connection of the community is loose; each community obtained through merging corresponds to one single fault; a merged signal is analyzed, composite fault characteristics are separated into single fault characteristics, and a fault diagnosis structure is obtained. According to the diagnosis method, the composite fault signal is decomposed into the IMF components at different frequencies, each IMF component is regarded as a community structure in the network, and a separated single fault signal is obtained according to merging of the complicated network communities, therefore, composite fault characteristic separation is achieved, and a diagnosis result is obtained.

Description

technical field [0001] The invention relates to a composite fault diagnosis method, in particular to a mechanical composite fault diagnosis method which separates and transforms composite fault signal features into a single fault diagnosis. Background technique [0002] With the advancement of industrial technology, large-scale and complex machinery is becoming larger and more complex. Whether the machinery is in good condition will directly affect industrial production. However, in engineering practice, some equipment parts need to be damaged to a certain extent before they are discovered and replaced. Under extremely complex load conditions, multiple faults may coexist during this period, resulting in composite faults. Since the characteristic frequency of most composite faults is in the low frequency band of the analysis frequency, the energy is low, and it is often submerged in the strong background noise. The characteristics of mutual influence between faults make it di...

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Problems solved by technology

[0004] In order to solve the above technical problems, the present invention provides a highly reliable diagnostic method for mechanical composite f

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