Cloud computing has brought about new service models and research opportunities in the
manufacturing and service industries with advantages in ubiquitous accessibility, convenient …

Abstract Prognostics and Health Management (PHM) as a research discipline has been
extensively studied in recent years, with many sophisticated techniques and intelligent …

The emergence of cloud computing, industrial internet of things (IIoT), and new machine
learning techniques have shown the potential to advance prognostics and health …

Advances in cloud computing reshape the manufacturing industry into dynamically scalable,
on-demand service oriented, and highly distributed cost-efficient business model. However it …

Condition monitoring (CM) is the escort of smart manufacturing, which guarantees safety,
precision, and efficiency of production process. However, traditional CM capacities with …

Prognosis of machine degradation and failure propagation is essential to preventative
maintenance scheduling and sustainable manufacturing. Emerging technologies such as …

The ever-increasing complexity in manufacturing systems caused by the fluctuating
customer demands has highly affected the contemporary shop-floors. The selection of the …

Maintenance of assembly and manufacturing equipment is crucial to ensure productivity,
product quality, on-time delivery, and a safe working environment. Predictive maintenance is …

ABSTRACT A cloud-based manufacturing process monitoring framework for online smart
diagnosis services has been developed with the aim of performing tool condition monitoring …

In this paper, we present a review of machine health managements for the smart factory. As
the Industry 4.0 leads current factory automation and intelligent machines, the machine …