Integrated Transformer Health Estimation Methodology Based on Markov Chains and Evidential Reasoning
نویسندگان
چکیده
منابع مشابه
Empirical Bayes Estimation in Nonstationary Markov chains
Estimation procedures for nonstationary Markov chains appear to be relatively sparse. This work introduces empirical Bayes estimators for the transition probability matrix of a finite nonstationary Markov chain. The data are assumed to be of a panel study type in which each data set consists of a sequence of observations on N>=2 independent and identically dis...
متن کاملAn Evidential Measure of Risk in Evidential Markov Chains
This paper provides a new method for computing a risk criterion for decision-making in systems modelled by an Evidential Markov Chain (EMC), which is a generalization to the Dempster-Shafer’s Theory of Evidence [1]: it is a Markov chain manipulating sets of states instead of the states themselves. A cost is associated to each state. An evidential risk measurement derived from the statistical on...
متن کاملEvaluation of user satisfaction using evidential reasoning-based methodology
For the sake of gaining competitive advantages, it is important to evaluate the satisfaction level of a product or service from the users’ perspective. This can be done by investigating the relationship among customer attributes (customer requirements) and design attributes (product configurations). However, such relationship would be highly non-linear in nature. In this regard, many approaches...
متن کاملGeneralised Mixture Estimation and Unsupervised Classification Based on Hidden Markov Chains and Hidden Markov Random Fields
Hidden Markov chain (HMC) models, applied to a HilbertPeano scan of the image, constitute a fast and robust alternative to hidden Markov random field (HMRF) models for spatial regularisation of image analysis problems, even though the latter provide a finer and more intuitive modelling of spatial relationships. In the framework of generalised mixture estimation and unsupervised classification o...
متن کاملA new machine replacement policy based on number of defective items and Markov chains
A novel optimal single machine replacement policy using a single as well as a two-stage decision making process is proposed based on the quality of items produced. In a stage of this policy, if the number of defective items in a sample of produced items is more than an upper threshold, the machine is replaced. However, the machine is not replaced if the number of defective items is less than ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2020
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2020/7291749