The invention discloses an equipment status diagnosis method and an equipment status diagnosis device. The method comprises the following steps: processing an acquired historical sample to obtain a typical sample fault classification and feature values thereof; judging the similarity of to-be-detected samples to obtain a primary fault classification; acquiring the sample feature values corresponding to the primary fault classification, performing weighed calculation to obtain similarity parameters, and determining the fault classification of the to-be-detected samples; when the fault classification is single, determining the fault classification as a fault diagnosis classification of the to-be-detected samples; if not, establishing a precise model, and inputting the primary fault classification into the precise model for judgment to obtain the fault diagnosis classification of the to-be-detected samples. Through the equipment status diagnosis method and device, the purposes of improving the accuracy and precision of diagnosing the equipment status can be realized.