关键词: 传动系统, 稳定性劣化, 1.5维谱, 特征提取

Abstract:

Wind turbines were typical large rotating machinery with variable conditions and non-stationary states, and vibration signal energy was changed because of non-fault factor such as variable conditions and loads. Fault diagnosis method based on vibration signal energy such as vibration level and power spectrum method could not extract running stability deterioration features from non-stationary signals under the influences of variable conditions and loads. 1.5-dimensional spectrum feature extraction method was studied based on higher-order cumulant method,and an evaluation method was proposed by using sensitivity property, trend property, difference property, and consistency property. Experimental data of varying degrees of deterioration under various types of deterioration were carried out to validate the proposed method, and the results show that feature extracting method can separate the deterioration characteristics from non-degradation characteristics, and the evaluation method can provide theoretical basis for selecting feature extraction method for fault diagnosis and trend prediction of running stability deterioration.

Key words: transmission system, stability deterioration, 1.5-dimensional spectrum, feature extraction