Research on Vibration Signal Preprocessing Using Detrending Methods

In this research, we investigate vibration signal preprocessing using detrending methodologies. We conduct simulation analyses in the MATLAB environment to demonstrate the effectiveness of these approaches. Beyond introducing the fundamental principles of detrending methods, we examine three common trend removal techniques: least squares detrending, sinusoidal signal detrending, and moving average methods. Each method's implementation in MATLAB will be discussed, including key functions like polyfit() for polynomial fitting in least squares approach, and filter() functions for moving average applications. We detail the advantages and limitations of each technique and provide practical examples illustrating how to select the most appropriate method for real-world applications. Through MATLAB code demonstrations and algorithmic explanations, readers will gain deeper understanding and application capabilities of detrending methods, enabling more effective handling of vibration signal preprocessing challenges. The research includes performance comparisons of different detrending algorithms on synthetic and real vibration data sets.