Abstract: Existing S-transform-based load spectrum editing methods for automotive components suffer from the problem of lack of adaptivity in time-frequency resolution， which affects the time-frequency aggregation of load spectrum energy and leads to poor editing results. To solve this problem， based on the theory of generalised S-transform （GST）， the application of GST method in the field of automobile components load spectrum editing is explored. The GST method is used to perform time-frequency analysis of the mount load spectrum to obtain the distribution information of the load energy on the time and frequency axes. The accumulative power spectral density （APSD） of the load spectrum is calculated， and a genetic algorithm is used to determine the threshold value of the APSD in order to identify the time segments of the load spectrum with smaller damage contributions. The time segments of the load spectrum with small damage contributions are identified and removed， and the remaining load time segments are spliced to obtain a compressed load spectrum. Comparing with the load spectrum editing method based on S-transform， it is found that the time compression of the compressed load spectrum obtained based on the GST method is larger， and the compressed load spectrum basically matches with the original load spectrum in terms of statistical parameters， power spectral density， rainflow counts， fatigue life and damage distribution. The results show that the GST method is suitable for editing the load spectrum of automotive components. It can provide an effective means to improve the efficiency of durability bench tests of automotive components.