In this paper an integrated prognostic process based on data collected from model-based simulations under nominal and degraded conditions is described.
An Interacting Multiple Model Approach to. Model-based Prognostics. Jianhui Luo: Andrew Bixby,. Krishna Pattipati, Dept. of ECE. University of Connecticut.
The purpose is to prepare a general prognostic tool that can be capable of well predicting the RUL of a system based on an analytical damage accumulation ...
An interacting multiple model approach to model-based prognostics. Modeling of hybrid systems by piecewise decomposition · A descriptor system approach to H ...
The IMM algorithm is a method for combining state hypotheses from multiple filter models to get a better state estimate of targets with changing dynamics. The.
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In this paper, we will develop an integrated prognostic process based on data collected from model-based simulations under nominal and degraded conditions.
The interacting multiple model (IMM) estimator is a filtering technique that tracks multiple models and reports the probability of each model. The information ...
In a related approach, a model- based prognosis methodology is developed in (Luo et al.,. 2008) using an interacting multiple model filter for state-.
We propose a new data-driven prognostic method based on the interacting multiple model particle filter (IMMPF) for determining the remaining useful life ...
This paper has not only proposed a fusion scheme to handle various failure models, but also presented the data generation procedure of health index in ...