Noise reduction method for nonlinear signal based on maximum variance unfolding and its application to fault diagnosis

• Published in: Science China Technological Sciences Vol. 53; no. 8; pp. 2122 - 2128
• Main Authors: Zhang, Yun, Li, BenWei
• Format: Journal Article
• Language: English
• Published: Heidelberg SP Science China Press 01.08.2010
• Subjects: Engineering; fault diagnosis; nonlinear noise reduction; maximum variance unfolding; manifold learning

A new noise reduction method for nonlinear signal based on maximum variance unfolding (MVU) is proposed. The noisy signal is firstly embedded into a high-dimensional phase space based on phase space reconstruction theory, and then the manifold learning algorithm MVU is used to perform nonlinear dime...