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| 基于语音识别技术的刀具工况在线监测的研究 | |
| 引用本文： | 艾长胜,王宝光,董全成,樊宁,赵洪华. 基于语音识别技术的刀具工况在线监测的研究[J]. 组合机床与自动化加工技术, 2005, 0(12): 59-61 |
| 作者姓名： | 艾长胜 王宝光 董全成 樊宁 赵洪华 |
| 作者单位： | 1. 天津大学,精密测试技术与仪器国家重点实验室,天津,300072;济南大学,机电学院,济南,250022 2. 天津大学,精密测试技术与仪器国家重点实验室,天津,300072 3. 济南大学,机电学院,济南,250022 |
| 摘 要： | 分析了刀具在线监测研究概况,提出了基于语音识别技术的刀具工况在线监测方法.实验结果表明,刀具切削声谱特征与其磨损情况之间具有对应关系,刀具磨损的工况信息与所产生的声信号具有同步效应,可以实时地获得监测信息,预先发现故障或危险.为刀具工况监测提供一种新的有效方法. |
| 关 键 词： | 刀具 声谱特征 语音识别 在线监测 |
| 文章编号： | 1001-2265(2005)12-0059-03 |
| 收稿时间： | 2005-06-27 |
| 修稿时间： | 2005-06-27 |
Speech Recognition Based Tool Wear Status Online Monitoring |
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| AI Chang-sheng,WANG Bao-guang,DONG Quan-cheng,FAN Ning,ZHAO Hong-hua. Speech Recognition Based Tool Wear Status Online Monitoring[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2005, 0(12): 59-61 | |
| Authors: | AI Chang-sheng WANG Bao-guang DONG Quan-cheng FAN Ning ZHAO Hong-hua |
| Abstract: | After survey of tool wear status online monitoring, the paper gives a new way to monitor the tool wear status based on speech recognition. The research result shows that there are corresponding relationships between cutting sound spectrums and tool wear status, and that the sound derived from cutter is taken place with cutting simultaneously, which can be used to get monitoring informations for prevention from hazard and disorder in machining. This provides a new effective way to monitor machining process status online. |
| Keywords: | tool sound spectrum speech recognition monitor online |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |