Displacement of mining vibrating screen obtained from acceleration based on improved S-G filter

Area of Science:

• Mechanical Engineering
• Signal Processing
• Condition Monitoring

Background:

• Vibration displacement is crucial for fault diagnosis in vibrating screens.
• Acceleration signal monitoring can be unreliable due to environmental and equipment interference.

Purpose of the Study:

• To develop an accurate method for converting vibration acceleration to displacement signals.
• To enhance the reliability of fault diagnosis for vibrating screens.

Main Methods:

• An improved Savitzky-Golay (S-G) filter was utilized for signal processing.
• Particle Swarm Optimization (PSO) optimized the S-G filter's window length.
• Cascaded S-G filters and the Smoothed Prior Approach (SPA) were employed for denoising and trend removal.
• Frequency domain integration processed the preprocessed acceleration data to obtain displacement.

Main Results:

• The proposed method demonstrated improved objectivity in filter parameter selection.
• Significant denoising effects were achieved, with performance enhancing through filter cascading.
• Accurate vibration displacement signals were successfully obtained.

Conclusions:

• The developed method provides a reliable approach for accurate vibration displacement measurement.
• The optimized filtering technique enhances the effectiveness of fault diagnosis in vibrating screens.