摘要
The technology of diagnostic symptom identification of nonlinear vibration is based on a database of a diagnostic case. This paper defines the periodic degree, quasi periodic degree, and chaotic degree of a Poincare map, an iterated map, and adopts the image identification theory, so the three states of periodic, quasi periodic, and chaotic running states of a machine can be distinguished. It also defines the variable identity, rotating angle and spread degree. The database of diagnostic case is expressed by means of an access database. The diagnostic symptoms are identified using the difference between the Poincare maps of samples and the fault case.Finally, we demonstrate an identification system of a nonlinear vibration diagnostic symptom of large rotating machinery.
The technology of diagnostic symptom identification of nonlinear vibration is based on a database of a diagnostic case. This paper defines the periodic degree, quasi periodic degree, and chaotic degree of a Poincare map, an iterated map, and adopts the image identification theory, so the three states of periodic, quasi periodic, and chaotic running states of a machine can be distinguished. It also defines the variable identity, rotating angle and spread degree. The database of diagnostic case is expressed by means of an access database. The diagnostic symptoms are identified using the difference between the Poincare maps of samples and the fault case.Finally, we demonstrate an identification system of a nonlinear vibration diagnostic symptom of large rotating machinery.
基金
ThispaperissupportedbytheNaturalScienceFoundationofHenanProvinceunderGrantNo .994 0 4 40 0 0
