Abstract: This article realizes whole-process predefined-time tracking control in Takagi–Sugeno (T–S) fuzzy Euler–Lagrange systems with zero-error through the ...

Why is it so hard for manufacturers to bring AI to the factory floor? What will it take? It boils down to strategic ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

Abstract: As an effective feature extraction and dimensionality reduction technique, nonnegative matrix factorization (NMF) has been widely applied in fault detection in recent years. The requirement ...