Abstract: In the multi-channel transient signal test, the redundant data test by the conventional test system at long time and high sampling rate causes the storage and transmission problems. An adaptive frequency-change sampling strategy is presented to solve these problems. The algorithm lets the test system acquire the primary data at the same sample rate as the traditional test systems can, and divides the data in time. According to the frequency domain characteristics of signal in each segment, the occurring time and duration of transient signal are determined. The non-transient signals are resampled to reduce the redundant data, and the transient segments can be saved completely. The data compression ratio is more than 33 after the data is processed by the algorithm, while the duration data of transient signal is fully retained, and the maximum error of the non-transient segments are less than 0.5FS. The experimental results show that the algorithm can effectively reduce the redundant data in transient test. Key

Key words: informationprocessingtechnology, transientsignaltest, adaptivefrequencyconvention, datapre-processing