Automatic detection method for continuous increase of vibration of mechanical equipment

Abstract

The invention discloses an automatic detection method for continuous increase of vibration of mechanical equipment. The automatic detection method comprises the following steps of: step 1, performingfeature extraction on vibration signal waveform data acquired at the current moment of equipment vibration monitoring; 2, updating and calculating a vibration reference, comparing a feature value V obtained in the step 1 with the vibration reference, and judging whether the vibration reference is to be updated or not; 3, calculating an increase result of the data collected at the current moment according to the vibration reference value; and 4, judging whether the data acquired at the current moment is continuously increased or not according to a calculation result in the step 3. According tothe method, the equipment vibration reference standard is automatically calculated and updated, then the increase results of the vibration and the reference standard are collected in real time throughcalculation equipment; whether the increase results are larger than the increase results corresponding to the previous continuous growth point or not is judged; and automatic detection of the continuous increase of equipment vibration is achieved.

Description

technical field [0001] The invention belongs to the field of state monitoring and predictive maintenance of mechanical equipment, and in particular relates to an automatic detection method for continuously increasing vibration of mechanical equipment. Background technique [0002] At present, more and more important high-value mechanical equipment has vibration sensors installed in its key parts to detect and discover component abnormalities and failures that occur during the operation of mechanical equipment. Abnormal operation and faults of mechanical equipment can be detected and discovered through changes in vibration growth trends. The continuous growth of equipment vibration is an important sign of equipment abnormality and failure. Therefore, detection and discovery of continuous vibration growth can provide an important analysis basis for mechanical equipment condition monitoring and predictive maintenance. [0003] Some existing trend growth detection methods are ...

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Problems solved by technology

[0003] Some existing trend growth detection methods are difficult to solve the problem of continuous growth detection of mechanical equipment vibration, including using the linear fitting results of a piece of data to extract indicators to represent the characteristics of continuous growth, extracting indicators from a difference sequence of data to represent continuous growth characteristics, etc. method

These methods only consider the "local" continuous growth, while the continuous growth of mechanical equipment vibration needs to pay attention to and detect the "global" continuous growth, that is, to detect whether the real-time vibration collected by mechanical equipment is greater than the maximum value of historical vibration, so that the equipment can be found The most realistic exception and failure problems

At the same time, most of the existing trend growth detection algorithms need to input algorithm parameters. These algorithm parameters will affect the trend growth detection results, which will lead to wrong detection results.

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