Rotation machine fault diagnosis method based on margin index

Abstract

The invention provides a rotation machine fault diagnosis method based on a margin index. An idea of signal separating is used to construct a margin index, the disadvantages of an existing margin index diagnosis technology are overcome, and the accuracy and reliability of the diagnosis are improved. Through a standard vibration signal, real-time collection vibration signals are divided into a faultless vibration signal and a mixed signal, the mixed signal and the faultless vibration signal are used to construct the margin index, the fault diagnosis is more sensitive, and a weak fault characteristic signal can be detected through the change of the signal. When a rotation machine device runs normally and is failed, the value range overlap of the margin index is few, the margin index change is obvious under different states, the method is sensitive to an eccentric shaft and bending shaft composite fault, and the fault can be distinguish from other faults, and the accuracy and reliability of the rotation machine fault diagnosis are high.

Description

technical field [0001] The invention relates to a method for diagnosing a fault of a rotating machine, in particular to a method for diagnosing a fault of a rotating machine based on a margin index, and belongs to the technical field of fault diagnosis and signal processing and analysis. Background technique [0002] Large-scale rotating machinery equipment (such as steam turbines, rotating bearings, compressors, etc.) is the key equipment in important engineering fields such as petroleum, chemical industry, machinery manufacturing, and aerospace. Rotating machinery equipment is constantly developing in the direction of large-scale, automation, and precision , its composition and structure are becoming more and more complex, and the probability of failure is also increasing, so the requirements for the safety and reliability of large rotating machinery equipment are also getting higher and higher. [0003] However, when large-scale rotating machinery fails, vibration monitor...

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Problems solved by technology

[0007] However, the prior art uses the margin index to diagnose the fault of the rotating machinery mainly has the following problems: First, the idea of ​​signal separation is not used to construct the margin index, and the standard vibration signal is not separated, which cannot better reflect the fault of the rotating machine. Faults are not sensitive to fault diagnosis; second, when using margin indicators for analysis, the sensitivity of margin indicators will decrease with the gradual development of faults, the stability is not good, it is difficult to diagnose and predict faults, and the equipment operates normally and the value range when a fault occurs will partially overlap, which is prone to misjudgment, and the accuracy and reliability of fault diagnosis of rotating machinery are poor; the third is to use the vibration signal of the running-in period as the standard vibration signal, without considering the operation of rotating machinery The noise in the initial vibration signal is serious, it is not suitable as a standard vibration signal, and the fault diagnosis is not accurate

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