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A triangular vision-based contouring error detection system and method is proposed in this paper, realizing the three-dimensional error measurement of an arbitrary trajectory in conditions of a high feed rate and wide motion range.
First, the 3D error detection system is investigated, in which a novel self-luminous cooperative target is designed to characterize the movement information of a rotary table; thus, high-precision installation and high-signal-to-noise image acquisition are realized.
In this paper, to achieve error detection with three-dimensional (3D) measurement capability and to simplify the complex error identification formulations of position-independent geometric errors (PIGEs) in the rotary axis (C-axis), both a binocular-vision-based error detection system and an identification algorithm are proposed.
The modus operandi of the error detection system remains elusive.
This suggests that the contributions of working memory and the error detection system to performance are partially independent of each other.
To further complicate matters, it is conceivable that working memory enhances the effectiveness of the error detection system, but once in place it operates at least to some extent independently of it.
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They chose the error removal based approach, composed of error detection, system-level fault diagnosis, system repair, and backward error recovery.
Prefrontal cortex damaged that results in inefficient behaviors could be due to an impaired ability of error detection systems to guide adaptive behaviors and/or relatively ineffective compensatory mechanisms that were engaged (Ragozzino et al., 1999a).
We suggest that these error detection systems have in common output that effectively alerts other prediction error systems (either directly or via prefrontal cortex regulation, Fig. 5) so that memories can be updated (and behaviors implemented) as quickly and accurately as possible.
The main contributions lie in achieving the identification-oriented process monitoring via SMI and FDF on one hand, and enhancing the robustness of fault detection system against identification error and unreliable communication via FM and H∞ performance optimization on the other hand.
The system had an error detection function and the fault detection system was not affected by formation factors.
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