In this paper the application of embedding space and fractal dimension estimation to monitor the condition of a system with clearance is considered by examining the e!ect on the correlation dimension of variations of the gap clearance in a bearing system. The model analysed represents an elastically
THE APPLICATION OF CORRELATION DIMENSION IN GEARBOX CONDITION MONITORING
β Scribed by J.D. Jiang; J. Chen; L.S. Qu
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 221 KB
- Volume
- 223
- Category
- Article
- ISSN
- 0022-460X
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β¦ Synopsis
This paper reports a study of correlation dimension in gearbox condition monitoring. In contrast to other fault diagnosis methods, such as Fourier spectrum analysis, timeΒ±frequency analysis, etc., the correlation dimension can provide some intrinsic information of an underlying dynamic system reconstructed from measured scalar time series. A three-stage analysis procedure using correlation dimension is presented. Some important inΒ―uencing factors relating directly to the computational precision of correlation dimension are discussed. Industrial gearbox vibration signals measured from dierent operating conditions are analyzed using the above method. Results show that the correlation dimension is able to identify clearly a gearbox-operating condition with fatigue crack or broken tooth compared with the normal condition.
π SIMILAR VOLUMES
This paper presents a robust phase space reconstruction method based on singular value decomposition technique and its applications to large rotating machine and gear system condition monitoring and fault diagnosis. The singular value decomposition is used to determine the effective embedding space