A multi-head-attention-network-based method is proposed for effective information extraction from multidimensional data to accurately predict the remaining useful life (RUL) of gradually degrading equipment. The features desired equipment were evaluated using a comprehensive evaluation index, constructed discrete coefficients, based on correlation, monotonicity, and robustness. For extraction, ...