Pages that link to "Item:Q2846402"

The following pages link to Comparison of denoising methods for the early detection of fatigue bearing defects by vibratory analysis (Q2846402):

Displaying 9 items.

• Detection of rolling bearing defects using discrete wavelet analysis (Q1027925) (← links)
• Detection of rolling element bearing defects by adaptive filtering (Q1780729) (← links)
• A comparative experimental study on the use of~three~denoising methods for bearing defect detection (Q1937659) (← links)
• Nonlinear output feedback control of a flexible link using adaptive neural network: stability analysis (Q2835562) (← links)
• Nonlinear output feedback control of a flexible link using adaptive neural network: controller design (Q2835563) (← links)
• Effect of cascade methods on vibration defects detection (Q2846268) (← links)
• Kolmogorov-Smirnov test for rolling bearing performance degradation assessment and prognosis (Q2846346) (← links)
• A complex filter for vibration signal demodulation in bearing defect diagnosis (Q2881777) (← links)
• High-resolution methods in vibratory analysis: Application to ball bearing monitoring and production machine (Q5939450) (← links)