[1]马 波,于功也,闫 戈. 基于麦克风阵列的机车车辆转向架跑合试验的故障监测研究[J].机车电传动,2019,(06):1.[doi:10.13890/j.issn.1000-128x.2019.06.106]
 MA Bo,YU Gongye,et al. Bogie Running-in Test of Fault Monitoring Experiment on Rolling Stock Based on Microphone Array[J].Electric Drive for Locomotives,2019,(06):1.[doi:10.13890/j.issn.1000-128x.2019.06.106]
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 基于麦克风阵列的机车车辆转向架跑合试验的故障监测研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2019年06期
页码:
1
栏目:
研究开发
出版日期:
2019-12-31

文章信息/Info

Title:
 Bogie Running-in Test of Fault Monitoring Experiment on Rolling Stock Based on Microphone Array
作者:
 马 波12于功也12 闫 戈12
 (1. 北京化工大学,高端机械装备健康监控及自愈化北京市重点试验室,北京 100020;
2. 北京化工大学,发动机健康监控及网络化教育部重点试验室,北京 100020)
Author(s):
 MA Bo 1 2 YU Gongye 1 2 YAN Ge 1 2
 ( 1. Beijing Key Laboratory of Health Monitoring and Self-healing of High-end Mechanical Equipment, Beijing University
of Chemical Technology, Beijing 100020, China; 2. Key Laboratory of Engine Health Monitoring and Networking
Ministry of Education, Beijing University of Chemical Technology, Beijing 100020, China )
关键词:
 麦克风阵列转向架故障诊断故障声源定位机车车辆
Keywords:
 microphone array bogie fault diagnosis fault source location rolling stock
分类号:
U266.331;U270.1+4
DOI:
10.13890/j.issn.1000-128x.2019.06.106
文献标志码:
A
摘要:
 针对目前机车车辆转向架跑合试验信息化和智能化程度较低,在试验过程中难以快速准确地实现轴承和齿轮箱故障诊断及故障定位的现状,将麦克风阵列技术应用于跑合试验中,可直接通过声信号实现故障诊断与故障定位。针对转向架常见的轴承内外圈故障进行故障模拟试验,对故障轴承产生的声信号进行采集分析,通过特定的数据处理方法得到信号包络谱,实现故障诊断;同时结合基于到达时延的定位算法确定故障轴承位置,实现故障定位。为满足现场需要,设计了1 套便于麦克风阵列精确布局与灵活变换的阵列支架,通过模拟试验验证了所述算法与阵列支架的可靠性和准确性。
Abstract:
 In view of the low degree of intelligence in running-in test of rolling stock bogies, it was difficult to realize fault diagnosis and fault location of bearings and gearboxes quickly and accurately in the test process. Microphone array technology was applied to running-in test, which could directly realize fault diagnosis and fault location through sound signals. Fault simulation experiments were carried out for the common faults of bogie bearing inner and outer rings. Acoustic signals generated by the faulty bearing were collected and analyzed. Signal envelope spectrum was obtained through specific data processing methods to realize fault diagnosis. At the same time, fault location was realized by combining the location algorithm based on arrival delay. In order to meet the needs of the field, a set of array brackets was designed to facilitate the accurate layout and flexible transformation of microphone arrays. The reliability and accuracy of the algorithm and array brackets were verified by simulation experiments.

参考文献/References:

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备注/Memo

备注/Memo:
 作者简介:马 波(1977—),男,博士,副研究员,研究方向为设备状态监测、故障诊断、信号处理、智能专家系统等。
更新日期/Last Update: 2019-11-14