Abstract: A fault detection method for a rotating machine based on sparse time synchronous averaging is disclosed, and the method includes: collecting a vibration signal and a rotating frequency or rotating frequency pulse signal of the rotating machine and performing analog-to-digital conversion to obtain the vibration signal and rotating speed information by a sensor; according to the type and number of detection components in the rotating machine, constructing a component-aware comb vector g based on the vibration signal and rotating speed information, wherein the type includes the gear, rotor and bearing; constructing a quasi-time synchronous average vector w based on the component-aware comb vector g; constructing a sparse time synchronous averaging model F by using the quasi-time synchronous average vector w; solving the sparse time synchronous averaging model F with an optimization solution algorithm to obtain a sparse spectrum and a reconstruction time signal.

Abstract: The invention provides novel compounds, namely tert-butyl-phenyl-2-methyl-2-(1-piperidyl)-1-acetone and tert-butyl-phenyl-2-methyl-2-(1-morpholinyl)-1-acetone, and the preparation method thereof and the use thereof as a photoinitiator. The invention further provides a photopolymerizable composition comprising the compound as the photoinitiator and the use thereof, and provides a coating substrate coated with the composition.

Abstract: The invention provides novel compounds, namely tert-butyl-phenyl-2-methyl-2-(1-piperidyl)-1-acetone and tert-butyl-phenyl-2-methyl-2-(1-morpholinyl)-1-acetone, and the preparation method thereof and the use thereof as a photoinitiator. The invention further provides a photopolymerizable composition comprising the compound as the photoinitiator and the use thereof, and provides a coating substrate coated with the composition.