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| Analysis of pumping station swing signal based on improved LMD |
| PAN Hong1*, TANG Wei2, ZHENG Yuan1, YU Yang3 |
| 1. College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu 210098, China; 2. Powerchina Zhongnan Engineering Co.Ltd., Changsha, Hunan 410014, China; 3. China Water Northeastern Investigation, Design and Research Co.Ltd, Changchun, Jilin 130062, China |
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Abstract The local mean decomposition(LMD)method presents unique analysis ability for processing nonlinear and non-stationary signals. It is especially suitable for signal analysis of pumping units. However, in the process of decomposition a non-stationary signal into several proper rotation components, due to the error of the local mean and envelope estimation function at the data endpoint. When the endpoint effect appears, which results in the distortion of signal decomposition in serious cases. To solve this problem, considering the curve amplitude and geometry shape similarity, an endpoint effect suppression method based on grey B correlation and Euclidean distance was proposed. In order to evaluate the effect of the endpoint suppression method, an evaluation criterion of the change of signal energy before and after the decomposition was defined. Compared with the original LMD method and the image mapping method and waveform matching method, the effectiveness and superiority of this proposed method is verified. The results of simulation and practical swing signal analysis of pumping station shows that this method can effectively suppress the endpoint effects of LMD, and improve the accuracy of reconstructed signal precision in the process of LMD decomposition, and better extract the fault signal characteristics of swing signal of pumping station unit.
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Received: 13 July 2020
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