The invention discloses a
cascade H-bridge frequency converter fault early warning method, which comprises the following steps of: acquiring field current signals of each H-bridge unit, performing bidirectional
verification on
signal zero points by adopting a reverse zero-
crossover reconstruction method, and generating a reconstruction
timestamp matrix; carrying out
phase space differential mapping based on the matrix, and extracting a
feature matrix capable of representing internal dynamic characteristics of the
system by calculating topological invariants such as track length and curvature; after dimension reduction is conducted on the
feature matrix, affinity matching is conducted on the
feature matrix and a preset fault mode
library through an immune memory prediction mechanism, rapid
fault recognition is achieved, and prediction feature vectors are generated through extrapolation; and the prediction features, the residual error and the memory activation degree are combined, a
quorum sensing collaborative judgment model is introduced, the
diffusion process of abnormal signals is simulated, collaborative and robust judgment of the fault type, the
occurrence time and the influence range is achieved, and an early warning instruction is generated. According to the method, the accuracy, reliability and advance of fault early warning are remarkably improved.