[1]邱志明, 罗荣, 王亮, 等.军事智能技术在海战领域应用的几点思考[J].空天防御, 2019,2(1):1-5.
QIU Zhiming,LUO Rong,WANG Liang,et al.Some thoughts on the application of military intelligence technology in naval warfare[J].Air & Space Defense,2019,2(1):1-5.
[2]BAUM L E, EAGON J A.An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology[J].Bulletin of the American Mathematical Society,1967,73(3): 360-363.
[3]崔天宇.基于HMM的语音识别系统的研究与实现[D].长春:吉林大学, 2016.
[4]王恒, 季云, 朱龙彪, 等.基于HDP-CHMM的机械设备性能退化评估[J].振动、测试与诊断, 2018,38(4):733-737+871-872.
WANG Heng, JI Yun, ZHU Longbiao, et al.Performance degradation evaluation of mechanical equipment based on HDP-CHMM[J].Journal of Vibration Measurement & Diagnosis, 2018, 38(4):733-737+871-872.
[5]王刚, 陈捷, 洪荣晶, 等.基于HMM和优化的PF的数控转台精度衰退模型[J].振动与冲击,2018,37(6):7-13.
WANG Gang, CHEN Jie, HONG Rongjing, et al.Model for the positional accuracy degradation of NC rotary tables based on the hidden Markov model and optimized particle filtering[J].Journal of Vibration and Shock, 2018, 37(6): 7-13.
[6]李奕江, 张金萍, 李允公.基于VDM-HMM的滚动轴承磨损状态识别[J].振动与冲击, 2018, 37(21):61-67.
LI Yijiang, ZHANG Jinping, LI Yungong.Wear state recognition of rolling bearings based on VMD-HMM[J].Journal of Vibration and Shock, 2018, 37(21): 61-67.
[7]ADITIYA N A, DHARMAWAN M R, DAROJAH Z, et al.Fault diagnosis system of rotating machines using hidden Markov model(HMM)[C]∥International Electronics Symposium on Knowledge Creation and Intelligent Computing.IEEE, 2017.
[8]耿宁.基于粒子群优化的隐马尔科夫模型的复合攻击预测方法[J].通信电源技术, 2015, 32(3): 69-71.
GENG Ning.Approach to forecasting multi-step attack using hidden markov model based on particle swarm optimization[J].Telecom Power Technology, 2015, 32(3): 69-71.
[9]江金源.基于HMM的滚动轴承故障诊断方法研究及硬件实现[D].哈尔滨: 哈尔滨工业大学, 2018.
[10]丁超然, 刘三明, 王帅, 等.基于改进连续隐马尔科夫模型的风机齿轮箱故障诊断[J].电力学报, 2019, 34(1): 68-78.
DING Chaoran,LIU Sanming,WANG Shuai,et al.Fault diagnosis of fan gearbox based on improved continuous hidden markov model[J].Journal of Electric Power,2019,34(1):68-78.
[11]朱嘉瑜, 高鹰.基于改进粒子群算法的隐马尔科夫模型训练[J].计算机工程与设计, 2010, 31(1): 157-160.
ZHU Jiayu, GAO Ying.Adaptive particle swarm optimization for hidden Markov model training[J].Computer Engineering and Design, 2010, 31(1): 157-160.
[12]KENNEDY J.The particle swarm: social adaptation of knowledge[C].Proceedings of IEEE International Conference on Evolutionary Computation, Indianapolis, Indiana, 1997.
[13]张金玉.装备智能故障诊断与预测[M].北京: 国防工业出版社,2013.
[14]何栋磊, 黄民.基于遗传算法优化HMM的刀具磨损状态监测研究[J].机床与液压, 2017, 45(15): 106-108.
HE Donglei, HUANG Min.Research on tool wear state monitoring based on optimized hmm by genetic algorithm[J].Machine Tool & Hydraulics, 2017, 45(15): 106-108.
[15]张西宁, 雷威, 杨雨薇, 等.采用自适应基因粒子群算法优化隐马尔科夫模型的方法及应用[J].西安交通大学学报, 2018,2(8):1-8.
ZHANG Xining, LEI Wei, YANG Yuwei, et al.Adaptive genetic particle swarm algorithm for optimization hidden markov models with applications[J].Journal of Xi’an Jiaotong University,2018,2(8):1-8.
[16]王霞.非平稳信号特征提取方法研究及其在内燃机故障诊断中的应用[D].天津: 天津大学, 2015.