A Fault Diagnosis Method for Rotating Machinery Based on Waveform Index

Abstract

The invention provides a rotary mechanical fault diagnosis method based on a waveform index. According to the method, the waveform index is established by using a signal separation concept, the weaknesses of the existing waveform index diagnosis technology are overcome, the diagnosis accuracy and reliability can be improved, real-time acquired vibration signals are classified into a non-fault vibration signal and a mixed signal by virtue of a standard vibration signal, the mixed signal and the non-fault vibration signal are used for establishing the waveform index, the fault diagnosis is more sensitive, and a weak fault characteristic signal can be detected by virtue of the signal variation. When a rotary mechanical device is operated normally and has a fault, the overlapped value range of the waveform indexes is small, the waveform indexes in different states are obviously varied, the waveform index is relatively sensitive to a cracking shaft fault, the fault can be well separated from other faults, and the accuracy and reliability for diagnosing rotary mechanical faults 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 waveform 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 monit...

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Problems solved by technology

[0007] However, the prior art using waveform indicators to diagnose the faults of rotating machinery mainly has the following problems: First, the waveform index is not constructed with the idea of ​​signal separation, and the standard vibration signal is not separated, which cannot better reflect the faults of rotating machinery. It is not sensitive to fault diagnosis; secondly, when using waveform indicators for analysis, the value ranges of equipment in normal operation and when a fault occurs will partially overlap, and the waveform indicators change very little, and are not sensitive to shock pulses, which is prone to misjudgment. The anti-interference ability of complex faults is poor, 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 serious noise in the vibration signal of the rotating machinery equipment in the initial stage of operation, which is not Problems suitable as standard vibration signals, inaccurate fault diagnosis

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