Zhang Tao, Hua Chengcheng, Chen Jichi, He Enqiu, Wang Hong
Department of Mechanical Engineering and Automation, Northeastern University, Shenyang, China.
College of Applied Technology, Shenyang University, Shenyang, China.
Front Neurosci. 2021 Jul 14;15:690633. doi: 10.3389/fnins.2021.690633. eCollection 2021.
Tacit knowledge is the kind of knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it. In the mineral grinding process, the proficiency of the operators depends on the tacit knowledge gained from their experience and training rather than on knowledge learned from a handbook. This article proposed a method combining the electroencephalogram (EEG) signals and the industrial process to detect the proficiency of the operators in the mineral grinding process to reveal the effect of tacit knowledge on the functional cortical connection. The functional brain networks of operators were established based on partial direct coherence and directed transfer function of EEG, and the multi-classifiers were used with the graph-theoretic indexes of the FBNs as input to distinguish the trained operators (Hps) from the non-trained operators (Lps). The results showed that the brain networks of Hps had a better connectivity than those of Lps ( < 0.01), and the accuracy of classification was up to 94.2%. Our studies confirm that based on the performance of EEG features and the combination of industrial operational operation and cognitive processes, the proficiency of the operators can be detected.
隐性知识是一种难以通过书面记录或言语表达传递给他人的知识。在矿石研磨过程中，操作人员的熟练程度取决于从经验和培训中获得的隐性知识，而非从手册中学到的知识。本文提出了一种结合脑电图（EEG）信号与工业过程的方法，以检测矿石研磨过程中操作人员的熟练程度，从而揭示隐性知识对功能性皮质连接的影响。基于EEG的部分直接相干性和定向传递函数建立了操作人员的功能性脑网络，并使用多分类器，将功能性脑网络的图论指标作为输入，以区分训练有素的操作人员（Hps）和未训练的操作人员（Lps）。结果表明，Hps的脑网络比Lps的具有更好的连通性（<0.01），分类准确率高达94.2%。我们的研究证实，基于EEG特征的表现以及工业操作与认知过程的结合，可以检测操作人员的熟练程度。
