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Prognostics and health management (PHM) can ensure that a battery system is working safely and reliably. Remaining useful life (RUL) prediction, as one main approach of PHM, provides early warning of failures that can be used to determine the necessary maintenance and replacement of batteries in advance. The existing RUL prediction techniques for lithium-ion batteries are inefficient to learn the...
Remaining useful life (RUL) prediction is one of the most critical procedures of the prognostics and health management (PHM). In the existing literature, most RUL prediction methods are under the assumption that there is no maintenance activity during the whole life time of the degrading system. However, most practical systems experience various kinds of maintenance activities when they are in operation...
In order to predict the remaining life of high reliability and long life airborne fuel pump, a fusion approach based on adaptive regression (AR) and particle filter (PF) is put forward. Firstly, the basic principles of adaptive regression algorithm and particle filter algorithm are introduced. Then, a fusion framework based on statistical prediction and data driven prediction is proposed. Secondly,...
The issue of remaining useful life (RUL) prediction has already become a quite interesting topic in industrial product. The data driven RUL prediction has been applied to the current research by taking advantage of a long-short term memory (LSTM)-recurrent neural network (RNN) approach. This means that even in a specified long-short term memory bound and limited available data sets, the RUL predictions...
Integrated modular avionics (IMA) is one of the most advanced systems. Its performance greatly impacts on the working condition of aircraft. For enhancing the safety and reliability of aircraft, this paper researches on modeling of IMA degradation. Since the intermittent fault occurs in the degradation of electronic device, it can be considered as one of the characteristics of degradation. The IMA...
For long-lifetime industrial equipments, the online prognostics can predict the remaining useful life (RUL) of the systems in real time, which further offers effective references for the maintenance schedule. Most existing literatures with respect to the issue of prognostics only deal with one single degradation process or simply use the Copula functions to model the correlation structures for multi-component...
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