Fractal data compression algorithm for vibration signal in fault diagnosis

In the paper, the fractal property of rotating machinery vibration signals and the principle of fractal data compression are summarized reviewed. Based on the fractal property, an approach for vibration signal data compression and reconstruction is proposed. In this method, a signal is represented by parameters of affine maps and is reconstructed according to self-similarity represented by the IFS parameters. The total data size of such a representation is far less than the original time domain data size. To demonstrate the effectiveness of this method to resolving the bottleneck in remote transmission of large amount of signals and improving the capability of remote equipment fault diagnosis system, the presented method has been applied to some actual vibration signals as well as simulation signals.