Vibration signal acquisition and processing method for rotating equipment fault source tracing

Abstract

The invention discloses a vibration signal acquisition and processing method for fault tracing of rotary electromechanical equipment, and belongs to the field of industrial internet and data processing. The method comprises the following steps: acquiring a vibration acceleration signal by adopting an industrial-grade analog vibration sensor adopting an MEMS technology, arranging an AD conversion module and a digital processor at a sensor end, and performing signal processing on the signal at the sensor end; a plurality of vibration sensors are arranged on the same equipment to form a sensor network; and fusion and intelligent analysis of sensor signals. According to the method, the data size and the signal-to-noise ratio of the vibration signals can be improved, the vibration condition of the rotary electromechanical equipment can be better described, sensor information is enriched, sensor data fusion is conveniently achieved, an intelligent signal processing method is adopted, a traditional method is combined with deep learning, the defects of the method are overcome, and the equipment fault source tracing accuracy is improved.

Description

technical field [0001] The invention relates to the field of industrial internet of things and data processing, in particular to a vibration signal acquisition and processing method applied to trace the fault source of rotating electromechanical equipment. Background technique [0002] Motor-driven equipment occupies an important position in industrial production. As mass production process operations become more and more common, the reliability of each rotating electromechanical equipment is of great significance. Once a rotating electromechanical equipment fails, not only will it It will cause interruption of production links and huge economic losses, and may also cause casualties, environmental pollution and various social problems. When the rotating electromechanical equipment fails, or the equipment is in a sub-healthy state, the abnormal vibration of the equipment is an important indicator for judging whether the equipment can operate healthily. The existing monitoring...

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Problems solved by technology

[0003] 1. The vibration sensor has low sensitivity and low frequency response. What is collected is the average value of a certain period of vibration, and the sampling frequency of the obtained data is also low. It is impossible to describe the vibration in detail.

[0004] 2. For a piece of equipment, the vibration information collected is often a certain point, the vibration situation in a certain direction, the data is not comprehensive enough, and the location of the fault cannot be accurately determined through vibration signal detection

[0005] 3. The traditional vibration signal monitoring is not intelligent enough to process the signal, and it needs professionals to analyze the data to determine the fault

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