计算机工程与应用Issue(1)：266-270,5.DOI:10.3778/j.issn.1002-8331.1302-0160
DHMM在机械设备音频识别中的应用
Application of DHMM to mechanical equipment audio recognition
苏鹏 1程健1
作者信息
- 1. 中国科学技术大学 自动化系，合肥 230027
- 折叠
摘要
Abstract
In order to monitor, diagnose and identify the machinery or equipment, the audio signal is used as the monitoring means, and the Vector Quantization(VQ)algorithm is introduced, also mechanical equipment’s Discrete Hidden Markov Model(DHMM)is established. The mechanical equipment audio parameter extracted is MFCC, and the code book is pro-duced using Linde-Buzo-Gray(LBG)algorithm. The Baum-Welch algorithm’s simplest scaling factor form based on mul-tiple sequences is deduced. Meanwhile logarithmic form of Viterbi algorithm is used. Various forms of HMM model are compared through the experiments, and the suitable audio HMM model form for mechanical equipment is chosen. The experiments on 22 kinds of audio signals, with the recognition accuracy rate of more than 97%, prove the validity of the method.关键词
Mel倒谱系数(MFCC)/矢量量化/LBG算法/隐马尔科夫模型/音频识别/设备监控Key words
Mel Frequency Cepstrum Coefficient(MFCC)/Vector Quantization(VQ)/Linde-Buzo-Gray(LBG)algorithm/Discrete Hidden Markov Model(DHMM)/audio recognition/equipment monitoring分类
信息技术与安全科学引用本文复制引用
苏鹏,程健..DHMM在机械设备音频识别中的应用[J].计算机工程与应用,2015,(1):266-270,5.
