This paper introduces the hhsmm, which involves functions for initializing, fitting and predication of hidden hybrid Markov/semi-Markov models. These models are exible models with both Markovian and semi-Markovian states, which are applied to situations where the model involves absorbing or macro states. The left-to-right models and the models with series/parallel networks of states are two models with Markovian and semi-Markovian states. The hhsmm also includes the residual useful lifetime estimation in the predict function. The commercial modular aero-propulsion system simulation (C-MAPSS) data-set is also included in the package, which is used for illustration of the application of the package features.
翻译:本文介绍了hhsmm, 其中包括隐藏的混合Markov/semi- Markov模型的初始化、安装和预设功能。这些模型是马尔科文州和半马尔科文州的可推广模型,适用于模型涉及吸收或宏观状态的情况。左对右模型和系列/平行国家网络模式是马尔科文州和半马尔科文州的两个模型。hhsmm还包含预测函数中的剩余有用寿命估计。商业气压推进系统模拟(C-MAPSS)数据集也包含在包件中,用于说明包件特性的应用。