MVR centrifugal vapor compressor fault diagnosis method based on IAOA-VMD

The invention provides an IAOA-VMD-based fault diagnosis method for an MVR centrifugal steam compressor, aiming at the characteristics that vibration signals of the MVR centrifugal steam compressor are non-linear, non-stable and susceptible to redundant noise interference, and by taking the actually collected vibration signals of the MVR centrifugal steam compressor as a research object, the invention provides the IAOA-VMD-based fault diagnosis method for the MVR centrifugal steam compressor. Comprising the following steps of: acquiring vibration signals of the MVR centrifugal steam compressor in an IAOA-VMD decomposition experiment, taking an arithmetic optimization algorithm as a basic algorithm, and adopting four operators of multiplication (M), division (D), subtraction (S) and addition (A) to improve the exploration capability of the algorithm; an initial population of the AOA is optimized through an LSC chaotic mapping method and opposite learning, wherein the LSC chaotic mapping method combines three k