Sentence examples for degradation estimation from inspiring English sources
Furthering our earlier work of indirect degradation estimation via a mixed time-/condition-based approach, a stage-based Gamma process is designed and implemented for the prediction of degradation PDF where a recursive Maximum Likelihood Estimation (MLE) algorithm deduced from the conventional MLE algorithm is able to update the modeling parameters based on each aperiodic monitoring interval.
The primary advantage is that a specific experiment does not have to be designed and performed, often at great cost in time and resources, to produce a suitable dataset for degradation estimation, effectively allowing recycling of existing datasets further increasing their potential scientific value.
The degradation of estimation, especially around the crossover junction, is obvious by comparing Figures 5 and 1, but the trajectories are not missed and the estimated IFs are improved with time.
Despite the unimportance of degraded filtering accuracy, an experiment comparing motion estimation degradation is carried out to evaluate the loss of accuracy in the overall algorithm.
At high SNR, CSI delay causes more performance degradation than channel estimation error.
We demonstrate graceful degradation of the estimation accuracy as communication becomes more costly.
As the maximum CFO increases, ICI and MUI increase, and we expect to see degradation in CFO estimation performance.
Thus, it leads to performance degradation of DOA estimation when conventional group sparse reconstruction methods are used.
Infrared spectroscopy enabled identification of degradation products and estimation of the influence of carbon fibres on hydrolytic degradation of analysed polymers.
Based on the degradation history, the estimation results are updated adaptively via the Bayesian method, once new degradation measurement data are provided.
Moreover, CSI delay causes more performance degradation than channel estimation error at high signal-to-noise ratio for time varying channel.
