| contributor author | Chen, Changzheng | |
| contributor author | Wang, Zhong | |
| contributor author | Gou, Yi | |
| contributor author | Zhao, Xinguang | |
| contributor author | Miao, Hailing | |
| date accessioned | 2017-05-09T01:15:32Z | |
| date available | 2017-05-09T01:15:32Z | |
| date issued | 2015 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_010_01_011006.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/157231 | |
| description abstract | Many processes are characterized by their oscillating or cyclic time behavior. This holds for rotating machines or alternating currents. The resulting signals are then periodic signals or contain periodic parts. It can be used for fault detection of rotating machines. In this paper, we studied the periodic time series of the superposition of two oscillations from the multifractal point of view. The wavelet transform modulus maxima method was used for the singularity spectrum computations. The results show that the width and the peak position of the singularity spectrum changed significantly when the amplitude, frequency, or the phase difference changed. So, the width and the peak position of the singularity spectrum can be used as a new measure for periodic signals. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Wavelet Based Multifractal Analysis to Periodic Time Series | |
| type | Journal Paper | |
| journal volume | 10 | |
| journal issue | 1 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4027470 | |
| journal fristpage | 11006 | |
| journal lastpage | 11006 | |
| identifier eissn | 1555-1423 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2015:;volume( 010 ):;issue: 001 | |
| contenttype | Fulltext | |
