Fast fault diagnosis method of rolling bearings based on compression features in multi-sensor redundant observation environment

•A fast bearing state detection method is proposed.•Application range of the traditional random weighted fusion algorithm is extended.•Hadamard matrix is used to compress and retain the original signal feature.•Use fusion compression sensing technology to achieve signal secondary compression.