A forecasting method for remaining useful life based on EMD denoising algorithm and Wiener-process

This paper presents a modified EMD method by improving the traditional polynomial prediction method of restraining the end effects, and then presents a denoising method based on EMD and soft threshold method. This paper builds Wiener-process-based degradation model by the denoised data, and presents a forecasting method for remaining useful life based on EMD denoising algorithm and Wiener process. The experimental analysis result demonstrates that the method can decrease modeling error and increase the remaining useful life estimation´s degree of accuracy.