Remaining useful life prediction using multi|scale deep ...

Remaining useful life prediction using multi-scale deep ...

To address these problems, a two-dimensional Multi-Scale Deep Convolution Neural Network (MS-DCNN) for RUL prediction is proposed in this paper. CM signals ...

Remaining Useful Life Prediction Using Deep Multi-scale ...

Accurate Remaining useful life (RUL) prediction is the premise of system prognostics and health management (PHM). In fact, it is often difficult to predict ...

Remaining useful life prediction using multi-scale deep ...

Highlights. •. A new deep learning method based on multi-scale feature extraction is proposed for remaining useful life (RUL) prediction. •. The proposed method ...

Remaining useful life prediction using multi-scale deep ...

Request PDF | Remaining useful life prediction using multi-scale deep convolutional neural network | Accurate and reliable remaining useful ...

Multi-Scale Remaining Useful Life Prediction Using Long Short ...

Reliable remaining useful life (RUL) prediction is the main criterion for decision-making in predictive maintenance. Conventional model-based methods and data- ...

A method for predicting remaining useful life using enhanced ...

Ensuring operational integrity in large-scale equipment hinges on effective fault prediction and health management.

Remaining Useful Life Prediction Based on Deep Learning: A Survey

One type of physics-based method builds a mathematical model for RUL using prior principles, but this is a tough task in real-world applications. Another type ...

Remaining Useful Life Prediction Using Deep Multi-scale ...

Abstract Accurate Remaining useful life (RUL) prediction is the premise of system prognostics and health management (PHM). In fact, it is often difficult to ...

Deep learning-based remaining useful life estimation of bear

With the rapid development of modern industries, physical model is becoming less capable of describing sophisticated systems, and data-driven approaches have ...

Remaining Useful Life Prediction using Deep Learning Approaches

Precise RUL prediction can significantly improve the reliability and operational safety of the industrial components or systems, avoid fatal ...

Remaining useful life prediction in prognostics using multi-scale ...

Semantic Scholar extracted view of "Remaining useful life prediction in prognostics using multi-scale sequence and Long Short-Term Memory network⋆" by ...

Remaining Useful Life Prediction for Lithium-Ion Battery - IEEE Xplore

This paper proposes an integrated deep learning approach for RUL prediction of lithium-ion battery by integrating autoencoder with deep neural network (DNN).

Remaining Useful Life (RUL) Prediction of Equipment in Production ...

[36] developed a multi-scale deep convolutional neural network (MS-DCNN) and used the min-max normalization with the MS-DCNN algorithm for RUL ...

Multi-Scale Remaining Useful Life Prediction Using Long Short ...

Another contribution of the multi-scale RUL prediction approach is that it offers more degree of flexibility of prediction in the maintenance strategy depending ...

Remaining Useful Life Estimation in Prognostics Using Deep ...

Gao, A multi-time scale approach to remaining useful life prediction in rolling bearing, Mechanical Systems and Signal Processing 83 (2017) ...

Remaining Useful Life Prediction Using Dual-Channel LSTM ... - NCBI

At present, the research on the prediction of the remaining useful life (RUL) of machinery mainly focuses on multi-sensor feature extraction ...

Enhancing Realistic Remaining Useful Life Prediction using Multi ...

The prediction of remaining useful life (RUL) for a component requires a certain failure threshold to be reached. However, using only ...

Remaining useful life prediction based on parallel multi-scale ...

Currently, most RUL prediction methods overlook the correlation between local and global information, which may lead to the loss of important ...

Deep-Learning-Based Remaining Useful Life Prediction Based on a ...

Compared with the conventional convolution neural networks (CNNs), the multi-scale CNNs can extract different-scale feature information, which exhibits a better ...

[PDF] Accurate Remaining Useful Life Prediction With Uncertainty ...

Accurate Remaining Useful Life Prediction With Uncertainty Quantification: A Deep Learning and Nonstationary Gaussian Process Approach · Zhaoyi Xu, Yanjie Guo, J ...