Abstract：In condition monitoring and fault diagnosis of mechanical systems, the preprocessing of measured signal is a necessary link and a basis ensuring subsequent feature extraction and reliability of health assessment. In the article, the results achieved by existing preprocessing methods for measured signals are reviewed. The status of signal conversion methods is described, and the outcomes of signal component extraction methods are introduced. Moreover, the development trend of measured signal preprocessing in mechanical systems is analyzed and prospected. Much work in update of existing traditional time-domain and frequency-domain integration methods and their performance improvement still needs to be exploited in-depth. Intelligent processing methods can obtain complete data source, which reflects the state characteristics of equipment, and are still worthy being investigated further. As the mechanical equipment gradually tends to be intelligent, multi-functional, the efficient and green the preprocessing technology for measured signals in mechanical systems will face new challenges. Advanced signal preprocessing methods should be explored to carry out precise intelligent fault diagnosis and prediction based on information of equipment operating state. Such methods can find extensive applications in scientific research and engineering practice in the future.
汤胜楠,朱勇*,李伟,蔡佳熙. 机械系统实测信号预处理方法研究现状与展望[J]. 排灌机械工程学报, 2019, 37(9): 822-828.
TANG Shengnan, ZHU Yong*, LI Wei, CAI Jiaxi. Status and prospect of research in preprocessing methods for measured signals in mechanical systems. Journal of Drainage and Irrigation Machinery Engin, 2019, 37(9): 822-828.
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