Multi-channel vibration signal compression based on a new algebraic framework

Proposed a new method for multi-channel signals compression, which was based on Young-Helmholtz algebraic model. The multi-channel data was expressed by Young-Helmholtz algebraic element and was considered as the basic operational unit in the computing processing. The multi-channel data, which was consisted of three channels named X, Y and Z, and were orthogonal to each other. The constructed data was trained by GHA-NN, and extracted the principle components for compression. The experimental results had indicated its effectiveness and feasibility.