Fractal Data Coding Algorithm for Remote Equipment Fault Diagnosis

In the paper, an approach of piecewise self-affine fractal model which based on the fractal property of vibration signal data is proposed. In this method, a signal was coded by parameters of affine maps and reconstructed according to self-similarity represented by the IFS parameters. For the total data size of such a representation is far less than the original time domain data size, this method can resolve the bottleneck in remote transmission of large amount of signals and improve the capability of remote equipment fault diagnosis system. To demonstrate the effectiveness of this method, it has been applied to some actual vibration signals as well as simulation signals.