Power mechanical equipment fault and energy consumption analysis method based on noise and vibration

Abstract

The invention discloses a power mechanical equipment fault and energy consumption analysis method based on noise and vibration. The method comprises the steps: performing signal collection through a noise and vibration sensor in the operation process of power mechanical equipment; performing feature analysis on the acquired noise and vibration signals of the equipment by using a data analysis method comprising decoupling analysis, feature recognition and spectral analysis; combining the analyzed noise and vibration characteristics with physical characteristics and operation states of the equipment, and then reflecting the operation states of the equipment by utilizing noise and vibration signals of the equipment, including state changes of the equipment under different loads and characteristic changes of different fault states; and finally, monitoring the fault and energy consumption state of the power mechanical equipment by utilizing the noise and vibration signals. According to themethod, the interference of the existing access type monitoring equipment on the system can be solved, so that non-contact monitoring is realized, and the stability of equipment operation and the accuracy of state monitoring are effectively improved.

Description

technical field [0001] The present invention relates to the application of noise and vibration signals of power machinery equipment, more specifically, it uses noise and vibration signals to carry out fault diagnosis and energy consumption analysis of power machinery equipment Background technique [0002] At present, the power mechanical equipment used in various industries has the characteristics of high speed, precision, systematization and automation. As a result, the scale of the system is getting larger and larger, the efficiency is getting higher and higher, and the connection between various parts is getting closer . Therefore, if the equipment deviates from the optimal working condition for a long time, or fails and causes outage, the economic loss will be great. However, the current common equipment status monitoring methods are mainly connected data monitoring equipment, such as pressure gauges and flowmeter status monitoring equipment, which require a large amou...

AI Technical Summary

Problems solved by technology

However, at present, the main applications of equipment status identification and monitoring using noise and vibration signals are concentrated on the monitoring of single equipment, including motors, bearings, impellers, and gear equipment. Signal monitoring, using decoupling methods to monitor and identify equipment status

Research on the combination of noise, vibration signals and equipment operating parameters, including the use of vibration and noise for equipment energy consumption analysis, is also insufficient

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