Precise prediction of lithium‐ion cell level aging under various operating conditions is an
imperative but challenging part of ensuring the quality performance of emerging applications …

Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …

In the field of health management, predicting the remaining useful life (RUL) of a device
becomes critical. However, the RUL prediction process is often affected by a various of …

With the development of digital technology, the maritime industry is under continuous digital
transformation. For example, from manned engine room to control room and even to …

Abstract Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …

We describe DeepMachining, a deep learning-based AI system for online prediction of
machining errors of lathe machine operations. We have built and evaluated DeepMachining …

This paper explores the applicability of prognostics and health management (PHM) for wind
turbines (WTs), presenting the PHM approach along with challenges and opportunities in …

Predictive analysis is a promising approach to anticipate and mitigate track degradation
before it impacts the operation and management of the railway system. This proactive …

Prognostics is the process of forecasting the time-to-failure or the time-to-alarm of an
industrial item using degradation models. Data-driven approaches to prognostics employ …

Wind turbines (WTs) play an essential role in renewable energy generation, and ensuring
their reliable operation is essential for sustainable energy production and reduction of …