The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …

At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

Robotic systems are a fundamental part of modern industrial development. In this regard,
they are required for long periods, in repetitive processes that must comply with strict …

In the age of Internet of Things and Industrial 4.0, prognostic and health management (PHM)
systems are used to collect massive real-time data from mechanical equipment. PHM big …

The systems of prognostic and health management (PHM) aim to locate all kinds of
anticipated faults by determining the remaining useful life of a certain system. Existing …

Deep learning applications have been thriving over the last decade in many different
domains, including computer vision and natural language understanding. The drivers for the …

In the last decade, the adoption of technological tools in manufacturing industry, such as the
use of the Internet of Things (IoT) and Machine Learning (ML), has led to the advent of the …

Featured Application The transfer strategies proposed in this paper can guide the industry to
reuse and develop the existing PHM algorithm based on deep learning under different data …

Abstract Since 2006, deep learning (DL) has become a rapidly growing research direction,
redefining state-of-the-art performances in a wide range of areas such as object recognition …

Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …