Fractal Data Coding and Reconstruction Algorithm for Rotating Machinery Vibration Signal
Songling Wang · Proceedings of the CSEE · 2008
The piecewise self-affine fractal model was explored for data coding and reconstruction of vibration signal. In this method, a signal was coded by parameters of affine maps and reconstructed according to self-similarity represented by the interated function system (IFS) parameters. The total data size of such a representation is far less than the original time domain data size. For the largely reduction on data size, the algorithm is suitable for solving the signal data remote transmission problem which restricts the capability of the rotating machinery remote state monitoring and fault diagnosis system severely. Applications of the model to actual vibration signals as well as simulation signals have been given with good results obtained in respect of data compression ratio and signal reconstruction precision, where estimation of the model parameters has been analyzed.