Weak intermittent fault amplitude detection of wind turbine blade based on fractional chaotic system
(Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Technology, Xinjiang University, Urumqi, Xinjiang 830047, China)
Abstract：To solve the problem that it was very difficult to detect the growth of weak intermittent fault due to the special working conditions of wind turbine, a detection method of weak intermittent fault amplitude was proposed based on fractional chaotic system. The phase state discrimination method of chaotic system was given, and the principle and process of Poincare section density peak algorithm (PSDPA) was expounded to construct the intermittent fault development function (IFDF). The vibration signals at the radial and axial slight cracks of the wind turbine blade were collected, and the amplitude variation of the radial and axial weak intermittent fault of the wind turbine blade was analyzed by PSDPA and IFDF. The results show that the fast phase state discrimination of chaotic system can be realized by PSDPA, and the growth trend of intermittent fault can be directly characterized by IFDF curve to reveal the development process of a weak intermittent fault growing into a permanent fault.
