An Accelerated Editing Method for Stress Signal on Combine Harvester Chassis Using Wavelet Transform

Area of Science:

• Engineering
• Signal Processing
• Materials Science

Background:

• Durability testing requires accurate load spectrum data.
• Traditional methods for load spectrum acceleration can be inefficient.
• Wavelet transform offers potential for signal analysis and manipulation.

Purpose of the Study:

• To develop an improved load spectrum acceleration editing method using wavelet transform.
• To enhance the efficiency and accuracy of accelerated durability testing.
• To provide references for load spectrum development in agricultural machinery.

Main Methods:

• Signal decomposition using wavelet transform to isolate high-frequency components.
• Classification and recombination of wavelet components for accelerated editing.
• Development of a threshold selection method based on pseudo-damage gradient for damage segment identification.
• Envelope-based damage identification to extract and concatenate high-damage segments.
• Case study using stress signals from a combine harvester chassis.

Main Results:

• The proposed method improved acceleration effect by 7.76% and 15.92% compared to existing methods.
• Accelerated signals maintained consistency with original signals in statistical parameters and power spectral density.
• Optimizing wavelet function's vanishing moment reduced signal length by 4.8%.

Conclusions:

• The improved wavelet transform method is effective for load spectrum acceleration.
• The method enhances acceleration efficiency while preserving signal characteristics.
• This research offers valuable insights for accelerated durability testing in agricultural machinery.