为解决滚动轴承微弱故障特征提取较难的问题，以复杂传递路径下声发射信号的波形分析为基础，提出了一种基于声发射特征参数与波形流分析的滚动轴承故障诊断方法。首先，通过声发射特征参数TAFI对滚动轴承状态进行初步判定；其次，利用经历图分析法与分布图分析法对滚动轴承故障进行诊断；最后，对故障轴承声发射信号波形流用峭度准则进行筛选重构提取故障信息。为验证该方法的有效性，开展了滚动轴承故障模拟试验与航空发动机中介轴承模拟试验，获取了滚动轴承典型故障声发射信号并采用建立的方法进行数据处理与分析。结果表明：声发射特征参数TAFI图像呈现规则条状，可以初步判定滚动轴承处于故障状态；故障轴承能量、计数值、幅值与计数的撞击数高于健康轴承，可以有效识别滚动轴承故障特征；对声发射波形流分析可以判断滚动轴承典型故障。

In order to solve the difficult problem of weak fault feature extraction of rolling bearing, a fault diagnosis method of rolling bearing based on acoustic emission characteristic parameters and waveform flow analysis was proposed, based on waveform analysis of acoustic emission signal under complex transmission path. Firstly, the state of the rolling bearing was preliminarily judged by the acoustic emission characteristic parameter TAFI (time arrival feature index). Secondly, the fault diagnosis of rolling bearing was carried out by using experience graph analysis and distribution graph analysis. Finally, the waveform flow of acoustic emission signal of faulty bearing was screened and reconstructed by kurtosis criterion to extract fault information. In order to verify the effectiveness of this method, a rolling bearing fault simulation test and an aero-engine intermediate bearing simulation test were carried out, and the acoustic emission signals of typical rolling bearing faults were obtained, and the data were processed and analyzed by the established method. The results show that the TAFI image of acoustic emission characteristic parameters presents regular bars, which can preliminarily determine that the rolling bearing is in fault state. The impact number of energy, count value, amplitude and count of the faulty bearing is higher than that of the healthy bearing, which can effectively identify the fault characteristics of the rolling bearing. The typical faults of rolling bearing can be judged by analyzing acoustic emission waveform flow.