Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …

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 …

Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …

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

Bearings play a crucial part in reliable operation of rotating machinery in manufacturing
systems. There is a growing demand for smart prognostics of bearing remaining useful life …

Gears are an important component of industrial machinery and a breakdown of machinery
on account of the failure of gears could result in immense production loss. Timely monitoring …

Remaining useful lifetime prediction and extension of Si power devices have been studied
extensively. Silicon carbide (SiC) power devices have been developed and commercialized …

The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …

Abstract Remaining Useful Life (RUL) prediction play a crucial part in bearing maintenance,
which directly affects the production efficiency and safety of equipment. Moreover, the …

In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …