Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …

Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …

Modern engineered systems generally work under complex operational conditions.
However, most of the existing artificial intelligence (AI)-based prognostic methods still lack …

To integrate the complete degradation information of machinery, deep learning-based
prognostics approaches usually use monitoring data acquired by different sensors as the …

Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …

The state of health (SOH) and remaining useful lifetime (RUL) estimation are important
parameters for battery health forecasting as they reflect the health condition of battery and …

Precisely battery state of health estimation and remaining useful lifetime prediction are
crucial factors in ensuring the reliability and safety for system operation. This paper thus …

Accurate and timely prediction of remaining useful life (RUL) of a machine enables the
machine to have an appropriate operation and maintenance decision. Data-driven RUL …