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

This study presents a multi-channel multi-scale deep learning approach. Initially, an improved Savitzky‒Golay filter (ISG) addresses challenges posed by large ...

(PDF) A method for predicting remaining useful life using enhanced ...

Prognostics and health management (PHM) face the challenge of accurately predicting remaining useful life (RUL) using multivariate sensor data.

Knowledge enhanced ensemble method for remaining useful life ...

And ablation study indicates the high efficiency and robustness of each module within the proposed model. Compared with representative RUL prediction methods, ...

Remaining Useful Life Prediction Method Enhanced by Data ... - MDPI

The time-domain features can reflect the degenerative state of the bearings and reduce the impact of random noise present in the original signal, which is often ...

Remaining Useful Life Prediction Method Based on the Improved ...

Abstract: For the problem of low prediction accuracy due to the difficulty in determining the parameters of Holt double exponential model, a remaining ...

Knowledge enhanced ensemble method for remaining useful life ...

Remaining useful life (RUL) prediction is essential in enhancing the safety and reliability of rotating machinery. Deep learning techniques have been ...

Multi-scale memory-enhanced method for predicting the remaining ...

One of the core research issues in PHM, remaining useful life (RUL) prediction, can provide information that supports the establishment of an ...

(PDF) An Improved Method for Predicting the Remaining Useful Life ...

The analysis results indicate that for multi-dimensional monitoring data with complex operating conditions and variable fault modes, the ...

Enhancing Realistic Remaining Useful Life Prediction using Multi ...

As the exponential function has a monotonically increasing trend, a multi-fidelity model can lead to realistic RUL predictions. This proposed ...

A remaining useful life prediction method based on PSR-former

The numerical calculation method, data-driven method, and data-model combination method are the common methods for RUL prediction in time ...

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 Enhanced Convolutional ...

Remaining Useful Life Prediction Using Enhanced Convolutional Neural Network on Multivariate Time Series Sensor Data · Manassakan Sanayha, P. Vateekul · Published ...

A Novel Remaining Useful Life Prediction Method for Capacity ...

First, a novel empirical degradation model is proposed in this paper to improve the generalization applicability and accuracy of the algorithm.

A comprehensive survey of machine remaining useful life prediction ...

With the rapid advancements in industrial internet of things and artificial intelligence technologies, RUL prediction methods, particularly those based on ...

An Improved Exponential Model for Predicting Remaining Useful ...

The exponential model is one of the most widely used methods for RUL prediction of rolling element bearings. However, two shortcomings exist in ...

Novel Hybrid Method for Useful Life Prediction with Enhanced ...

Accurate prediction of Remaining Useful Life (RUL) of machinery is essential crucial for optimizing maintenance strategies and reducing ...

Enhancing Realistic Remaining Useful Life Prediction through Multi ...

Accurately predicting the remaining useful life (RUL) of components is challenging due to trend uncertainty in data-driven methods and limited data availability ...

Research on Remaining Useful Life Prediction Method of Rolling ...

By extracting a HI that can accurately track the trending of bearing degradation and combining it with the early fault enhancement technology, early abnormal ...

A Critical Review of Online Battery Remaining Useful Lifetime ...

(2018a) proposed a battery RUL prediction method using long-short-term memory recurrent neural network (LSTM-RNN). Use elastic mean square back-propagation ( ...

All you want to know about determining remaining useful life (RUL ...

Remaining useful life estimation problem ... In International Standards about condition monitoring and diagnostics of machines, RUL is defined as ...