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MSARN: A Deep Neural Network Based on an Adaptive Recalibration Mechanism for Multiscale and Arbitrary-Oriented SAR Ship Detection
TLDR
We propose a multiscale adaptive recalibration network (MSARN) to detect multiscales and arbitrarily oriented ships in complex scenarios. Expand
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A Deep Neural Network Based on an Attention Mechanism for SAR Ship Detection in Multiscale and Complex Scenarios
TLDR
A single-stage object detection algorithm based on an attention mechanism is proposed, and the effectiveness of the algorithm is verified on the SSDD. Expand
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A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing
TLDR
We propose a RUL prediction model based on the deep belief network (DBN) and diffusion process (DP) in this article. Expand
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A new remaining useful life estimation method for equipment subjected to intervention of imperfect maintenance activities
Abstract As the key part of Prognostics and Health Management (PHM), Remaining Useful Life (RUL) estimation has been extensively investigated in recent years. Current RUL estimation studiesExpand
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An Adaptive Prognostic Approach for Newly Developed System With Three-Source Variability
TLDR
An adaptive RUL estimation method based on the expectation maximization (EM) algorithm is proposed with three-source variability and dynamic sampling interval for small-sample systems. Expand
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Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability
TLDR
In the absence of sufficient degradation data of long-lifetime and highly reliable products, a step-stress accelerated degradation model based on nonlinear diffusion process is proposed to estimate the remaining useful life (RUL), with the advantage of requiring small sample size and short test time. Expand
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Life Prediction Approach by Integrating Nonlinear Accelerated Degradation Model and Hazard Rate Model
TLDR
Accelerated degradation testing and modeling is an effective way to predict the lifetime when the failure data are rare and the testing is costly. Expand
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RETRACTED: A Review on Modeling and Analysis of Accelerated Degradation Data for Reliability Assessment
TLDR
This paper reviews recent developments in the modeling and analysis of accelerated degradation data for reliability assessment of high reliability long-lifetime products. Expand
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Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales
TLDR
We study a nonlinear degradation modeling and RUL prediction method for nonlinear stochastic degraded equipment with bivariate time scales in this paper. Expand
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