The bridge data compound diagnosis method based on novelty recognition and multi-sensor correlation analysis is presented. First of all, the abnormal feature of the original signal is recognized by hyperspherical one class support vector machine. Then, the multi sensor position correlation analysis is achieved with ε support vector regression machine to determine that the data novelty is from the events or sensor itself. The acceleration measurement data in Jiangyin bridge show that the method is effective