Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

When something fails in advanced packaging, the interface is usually the first suspect. That’s partly because the interface ...

Businesses are feeling this reality. What once was an outlier, a shipping lane attack or a sudden export embargo, is today a ...

Variable annuities can be powerful tools for retirement planning. They provide guaranteed income options with tax-deferred ...

Across industries such as food processing, pulp and paper, ceramics, engineered wood, biomass, and chemicals, manufacturers ...

Operating mean targets can be shifted after variability has been reduced or stabilized to increase cost savings and ...

What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...

AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

Abstract: The dynamic latent variables (DLVs) model, which describes dynamic relations within a reduced-dimension latent space by the autoregressive (AR) technique, is effective for modeling dynamic ...

Signature analysis is a technique engineers can use to analyze various assembly processes. The idea is to plot one process variable, such as force, torque or pressure, against another variable, such ...