[1]陈代繁,游颖敏,等.用于预测交流接触器电寿命的音频特征分析方法[J].温州大学学报(自然科学版),2020,(03):011-20.
 CHEN Daifan,YOU Yingmin,ZHU Xiangou,et al.Audio Characteristic Analysis Method for Predicting Electrical Life of AC Contactor[J].Journal of Wenzhou University,2020,(03):011-20.
点击复制

用于预测交流接触器电寿命的音频特征分析方法
分享到:

《温州大学学报》(自然科学版)[ISSN:1674-3563/CN:33-1344/N]

卷:
期数:
2020年03期
页码:
011-20
栏目:
电子学与信息技术
出版日期:
2020-08-25

文章信息/Info

Title:
Audio Characteristic Analysis Method for Predicting Electrical Life of AC Contactor
作者:
陈代繁1游颖敏12?朱翔鸥1王景芹2
1.温州大学乐清工业研究院,浙江温州 325035;2.河北工业大学电工装备可靠性与智能化国家重点实验室,天津 300130
Author(s):
CHEN Daifan1 YOU Yingmin12 ZHU Xiang’ou1 WANG Jingqin2
1. Yueqing Institute of Industry, Wenzhou University, Wenzhou, China 325035;2. State Key Laboratory for Reliabilityand Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China 300130
关键词:
交流接触器MFCC音频特征BP神经网络电寿命预测
Keywords:
AC Contactor MFCC Audio Characteristics BP Neural Network Electrical Life Prediction
分类号:
TM572.2
文献标志码:
A
摘要:
本文提出了一种使用交流接触器电寿命试验过程中的音频信号特征去预测电寿命的方法.该方法首先获取在AC-4条件下的电寿命试验的交流接触器的音频信号;其次在MATLAB平台上对这些音频信号进行分帧处理,再对数据进行滤波处理,得到滤波后的音频信号;然后使用双门限法对音频信号进行端点检测;接下来用MFCC音频特征提取方法对音频进行特征提取,提取出能够反映交流接触器电寿命特征的参数;最后把交流接触器吸合音频特征作为输入量,已进行电寿命次数作为输出量,建立了基于BP神经网络交流接触器电寿命预测模型,并验证了该方法的可行性.
Abstract:
This paper presents a method of predicting the remaining electrical life by the characteristics of the audio signals during the electrical endurance test of the AC contactor. The method firstly obtains the audio signals of the AC contactor in the AC-4 electrical endurance test. Secondly, frame processing of the audio signals is performed on the MATLAB platform before filtering on the data to obtain the filtered audio. The signals are then subject to endpoint detection using a dual threshold method, and the MFCC audio feature extraction method is used to extract features of the audio to obtain parameters that reflect the electrical life characteristics of the AC contactor. Finally, the audio features of the AC contactor are used as the input quantity and the times of the electrical life that has been carried out is taken as the output to establish the electric life prediction model based on BP neural network AC contactor. In the end, the feasibility of the method is verified.

参考文献/References:

[1] 王恒野.控制与保护开关电寿命试验装置设计及寿命预测方法研究[D].沈阳:沈阳工业大学,2018:1-5.
[2] 孙曙光,纪学玲,杜太行,等.机械振动下交流接触器电寿命预测失效特征量提取[J].仪器仪表学报,2019,40(3):114-125.
[3] 杜太行,安建鹏,孙曙光,等.基于LabVIEW的振动条件下交流接触器电寿命试验系统[J].仪表技术与传感器,2018(8):113-117.
[4] 李奎,李晓倍,郑淑梅,等.基于BP神经网络的交流接触器剩余电寿命预测[J].电工技术学报,2017,32(15):120-127.
[5] 翟国富,王淑娟,许峰,等.基于超程时间和吸合时间建模的继电器双变量寿命预测方法的研究[J].中国电机工程学报,2002(47):76-80.
[6] Kiyoyomi M, Shuichi N, Atsuo M. A Proposal on contact surface model of electromagnetic relays-based on the change in showering arc waveforms with the number of contact operations [J]. Ieice T Electron, 1998, 81(3): 399-407.
[7] Alexander R, Neuhaus W F, Rieder M H. The effects of material transfer in relays diagn-osed by force and / or voltage measurement [J]. Components Packaging, 2004, 27(1): 12-18.
[8] 黄春燕,景妮洁,祝红梅.语音信号的MATLAB分析与处理[J].计算机科学,2018,45(S1):555-558.
[9] 尹相翔,蔡雪梅.基于Matlab的语音信号数字滤波[J].电声技术,2013,37(9):65-68,76.
[10] 李伟鑫.基于音频识别的防爆电机故障监测研究[D].大庆:东北石油大学,2015:5-6.
[11] 付天娇.基于小波变换的语音特征值提取算法的研究[D].沈阳:沈阳理工大学,2015:4-5.
[12] 李奎,李晓倍,郑淑梅,等.基于BP神经网络的交流接触器剩余电寿命预测[J].电工技术学报,2017,32(15):120-127.
[13] Alena G, Chrys S, Joseph P M. Atypical speech versus non-speech detection and discrimination in 4-to 6-yr old children with autism spectrum disorder: an ERP study [J]. Plos One, 2017, 12(7): 115-118.

相似文献/References:

[1]周 亮,吴桂初,谢文彬.基于激光位移器的交流接触器动态测试与分析[J].温州大学学报(自然科学版),2013,(03):032.
 ZHOU Liang,WU Guichu,XIE Wenbin.The Dynamic Testing and Analysis on Contactors Based on Laser Probing Displacement[J].Journal of Wenzhou University,2013,(03):032.
[2]黄海兰,吴桂初,吴自然,等.交流接触器寿命试验系统选相控制技术的实现与应用[J].温州大学学报(自然科学版),2016,(02):027.
 HUANG Hailan,WU Guichu,WU Ziran,et al.Realization and Application on AC Contactor Life Testing System Based on Phase-controlled Technology[J].Journal of Wenzhou University,2016,(03):027.

备注/Memo

备注/Memo:
收稿日期:2019-09-24
基金项目:浙江省公益技术研究计划项目(LGC20E070001);浙江省教育厅项目(Y201737046)
作者简介:陈代繁(1996- ),男,湖南新化人,硕士研究生,研究方向:电器智能化.? 通信作者,yymfd@163.com
更新日期/Last Update: 2020-08-25