Recent advances in manufacturing industry has paved way for a systematical deployment of
Cyber-Physical Systems (CPS), within which information from all related perspectives is …

Much research has been conducted in prognostics and health management (PHM), an emerging
field in mechanical engineering that is gaining interest from both academia and industry…

The recent White House report on Artificial Intelligence (AI) (Lee, 2016) highlights the significance
of AI and the necessity of a clear roadmap and strategic investment in this area. As AI …

Today, in an Industry 4.0 factory, machines are connected as a collaborative community.
Such evolution requires the utilization of advance- prediction tools, so that data can be …

The globalization of the world’s economies is a major challenge to local industry and it is
pushing the manufacturing sector to its next transformation – predictive manufacturing. In order …

The functionality and reliability of Li-ion batteries as major energy storage devices have
received more and more attention from a wide spectrum of stakeholders, including federal/state …

More than 15 years after model predictive control (MPC) appeared in industry as an effective
means to deal with multivariable constrained control problems, a theoretical basis for this …

De-noising and extraction of the weak signature are crucial to fault prognostics in which case
features are often very weak and masked by noise. The wavelet transform has been widely …

The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

In today's global competitive marketplace, there is intense pressure for manufacturing
industries to continuously reduce and eliminate costly, unscheduled downtime and unexpected …