Critical Point Detection

This study introduces a novel critical point detection method for mechanical deformation in tightening processes, leveraging a state space model and a new particle filter algorithm to improve detection accuracy and reduce computational costs.

This paper presents a novel three-phase state-space model and a two-stage recursive particle filter algorithm for detecting pairwise critical points in torque signals during threaded pipe connection processes, improving quality assurance and detection accuracy.