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2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2020
The fluorine chemical industry has become an important one with rapid development because of its large variety of products, excellent performance and wide application fields. However, the hypertoxic materials which widely exist in fluorochemical engineering processes make the safety management and reliability assessment especially important. To improve
Shuran Zhang +4 more
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The fluorine chemical industry has become an important one with rapid development because of its large variety of products, excellent performance and wide application fields. However, the hypertoxic materials which widely exist in fluorochemical engineering processes make the safety management and reliability assessment especially important. To improve
Shuran Zhang +4 more
openaire +1 more source
A method for degradation prediction based on Hidden semi-Markov models with mixture of Kernels
Computers in industry (Print), 2020The degradation prediction of equipment is a crucial task in Prognostics and Health Management. This paper proposes an integrated method for data-driven prognosis based on Hidden Semi-Markov Models (HSMM) with kernel methods.
Tianji Yang, Zeyu Zheng, Liang Qi
semanticscholar +1 more source
Hidden semi-Markov model-based method for tool wear estimation in milling process
The International Journal of Advanced Manufacturing Technology, 2017This paper presents a new method for tool wear estimation in milling process by utilizing the hidden semi-Markov model (HSMM). HSMM differs greatly from the standard hidden Markov model (HMM) in state duration distribution. The model structure and corresponding parameters of HSMM can be easily determined without optimization.
Dongdong Kong, Yongjie Chen, Ning Li
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Force-based tool wear estimation for milling process using Gaussian mixture hidden Markov models
The International Journal of Advanced Manufacturing Technology, 2017Tool wear monitoring system is of vital importance for the guarantee of surface integrity and manufacturing effectiveness. To overcome the weaknesses of neural networks, a new tool wear estimation model based on Gaussian mixture hidden Markov models (GMHMM) is presented.
Dongdong Kong, Yongjie Chen, Ning Li
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2009 43rd Annual Conference on Information Sciences and Systems, 2009
This paper describes a stochastic wireless channel model that captures the behavior of the packet-level Bit Error Rate (BER) and the Link Quality Indication (LQI) processes. The model is based on a discrete-time Hidden Markov Model (HMM) whose hidden states correspond to different BERs, and whose observable states correspond to different LQI values. We
Muhammad U. Ilyas, Hayder Radha
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This paper describes a stochastic wireless channel model that captures the behavior of the packet-level Bit Error Rate (BER) and the Link Quality Indication (LQI) processes. The model is based on a discrete-time Hidden Markov Model (HMM) whose hidden states correspond to different BERs, and whose observable states correspond to different LQI values. We
Muhammad U. Ilyas, Hayder Radha
openaire +1 more source
Fundamenta Informaticae, 2008
In this paper genetic algorithms are used in estimation and decoding processes of a Hidden Markov Model (HMM) and a hybrid HMM/ANN model with conditional binomial distributions.
K. Bijak
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In this paper genetic algorithms are used in estimation and decoding processes of a Hidden Markov Model (HMM) and a hybrid HMM/ANN model with conditional binomial distributions.
K. Bijak
semanticscholar +1 more source
Annals of Applied Statistics, 2019
Modeling event dynamics is central to many disciplines. Patterns in observed event arrival times are commonly modeled using point processes. Such event arrival data often exhibits self-exciting, heterogeneous and sporadic trends, which is challenging for
Jing Wu +3 more
semanticscholar +1 more source
Modeling event dynamics is central to many disciplines. Patterns in observed event arrival times are commonly modeled using point processes. Such event arrival data often exhibits self-exciting, heterogeneous and sporadic trends, which is challenging for
Jing Wu +3 more
semanticscholar +1 more source
Parameter Estimation for Continuous Time Hidden Markov Processes
Automation and remote control, 2020Y. Kutoyants
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IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015
K. Granström, P. Willett, Y. Bar-Shalom
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K. Granström, P. Willett, Y. Bar-Shalom
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