Compression method, decompression method and transmission system for vibration signals of rotating machinery

Abstract

The embodiment of the invention provides a compression method, a decompression method and a transmission system of a rotary mechanical vibration signal, and relates to the technical field of rotary mechanical vibration signals. The compression method comprises the steps from S1 to S4. S1, acquiring an original signal of rotary mechanical vibration; s2, the original signal is preprocessed to eliminate noise and discontinuity of the original signal, and a preprocessed signal of rotation mechanical vibration is obtained; and S3, based on the compression attribute of each compression code, selecting the compression code to carry out coding compression on the preprocessed signal, and obtaining a compressed signal. And S4, sending a compression signal and a serial number corresponding to the selected compression code. According to the method, signal preprocessing steps including filtering, calibration and other methods are added, and vibration signal redundancy can be better explored. A relatively high compression ratio is achieved while the quality of a reconstructed signal is ensured; and meanwhile, methods such as adaptive codebook search and fixed codebook search are utilized, so that the algorithm efficiency is effectively improved.

Description

technical field [0001] The invention relates to the technical field of rotary machinery vibration signal processing, and in particular, to a compression method, a decompression method and a transmission system for rotary machinery vibration signals. Background technique [0002] With the continuous development of science and technology and the transformation and upgrading of the manufacturing industry, the cloud manufacturing model has emerged as the times require. It is the general trend to realize services such as remote status detection, fault warning, predictive maintenance, and operation optimization of mechanical equipment. Low but has always been one of the important bottlenecks restricting its development. [0003] To solve this situation, we can only overcome the problem of high cloud access cost caused by high precision and large data volume of mechanical vibration signals from the source. Signal compression technology can effectively reduce signal transmission en...

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Problems solved by technology

[0004] Signal compression algorithms can be roughly divided into lossless compression and lossy compression. For mechanical vibration signals, although the traditional lossless compression method has excellent reconstructed signal quality, its compression ratio is low and the system complexity is high, resulting in low algorithm efficiency. , the time cost is high, and it cannot meet the needs of real-time compression transmission; although the lossy compression algorithm can better balance the compression ratio and reconstruction quality compared with the lossless compression algorithm, due to the low repeatability of mechanical vibration signals, high noise, and high precision, etc. Features, the traditional lossy compression algorithm does not perform well on mechanical vibration signals, and cannot better balance the three important indicators of compression ratio, reconstruction signal quality and algorithm efficiency

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