Study on fault identification of mechanical dynamic nonlinear transmission system

• Published in: Nonlinear engineering Vol. 10; no. 1; pp. 518 - 525
• Main Authors: Guo, Erfu, Jagota, Vishal, Makhatha, Mamookho Elizabeth, Kumar, Pawan
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 01.01.2021; Walter de Gruyter GmbH
• Subjects: Classification; Decision making; Fault detection; Fault diagnosis; Fault identification; Feature extraction; Kernels; Mechanical drives; Mechanical power transmission system; nonlinear dynamics; Power transmission; Powertrain; Random noise; Steam turbines

To solve the problems of large mechanical powertrain such as complex structure, serious accident, strong nonlinear characteristics of running state, bad operating environment, non-Gaussian noise, and various uncertain factors, it is difficult to make an accurate fault diagnosis. This paper proposes...