Abstract：The collision and impact of the gear fracture fault is the most important features in meshing process. Considering the human auditory system has a instinctive reaction for sudden transient acoustic signals, to extract transient impulse response component induced by gear fracture fault, A method extracting feature of gear fracture fault based on auditory model and signal probability density of extreme points is proposed. This method firstly to conduct band-pass filtering with Gammatone filters , phase adjustment and extreme points extraction for signals, and then calculate the amplitude probability density of extreme points ,judging whether there is a transient impact composition by its derivation in filtered signals, then those extreme points that might be associated with transient impact composition were extracted. Meanwhile, due to the system vibration , it will produce extreme points which are irrelevant to impact of the gear fracture, in order to accurately extract the impact of the gear fracture, according to the transient signal frequency band continuity and multi-band distribution characteristics, design appropriate extraction method. It has been verified by the measured signals show that the proposed method can accurately depict and extract feature of gear fracture fault, and can extract impact component which only induced by gear fracture fault in a variety of types of transient impulse response component , and accuracy of extraction results is well.
吴文寿，李允公，王波，李国萌，石悦红. 基于听觉模型和极值点概率密度的断齿故障特征提取方法研究[J]. 振动与冲击, 2016, 35(19): 101-106.
WU Wen-shou，LI Yun-gong，WANG Bo，LI Guo-meng，SHI Yue-hong. A method extracting feature of gear fracture fault based on an auditory model and probability density of extreme points. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(19): 101-106.
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