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This paper aims to establish a novel three-way decisions-based grey incidence analysis clustering approach and exploit it to extract information and rules implied in panel data.

Because of taking on the spatiotemporal characteristics, panel data can well-describe and depict the systematic and dynamic of the decision objects. However, it is difficult for traditional panel data analysis methods to efficiently extract information and rules implied in panel data. To effectively deal with panel data clustering problem, according to the spatiotemporal characteristics of panel data, from the three dimensions of absolute amount level, increasing amount level and volatility level, the authors define the conception of the comprehensive distance between decision objects, and then construct a novel grey incidence analysis clustering approach for panel data and study its computing mechanism of threshold value by exploiting the thought and method of three-way decisions; finally, the authors take a case of the clustering problems on the regional high-tech industrialization in China to illustrate the validity and rationality of the proposed model.

The results show that the proposed model can objectively determine the threshold value of clustering and achieve the extraction of information and rules inherent in the data panel.

The novel model proposed in the paper can well-describe and resolve panel data clustering problem and efficiently extract information and rules implied in panel data.

The proposed model can deal with panel data clustering problem and realize the extraction of information and rules inherent in the data panel.

This paper aims to study the tribocorrosion behavior of 304 stainless steel (SS) sliding against SiC and Si₃N₄ counterparts in artificial seawater.

The tribocorrosion behavior of 304SS sliding against SiC and Si₃N₄ balls in artificial seawater has been investigated. The tests were conducted using a ball-on-disk rig equipped with an electrochemical workstation. The friction coefficient, surface morphology, wear volume and current density were determined.

When 304SS sliding against SiC ball, a smooth surface with a silica layer was formed on the top, which led to the low friction coefficient, current density and small wear volume. For 304SS-Si₃N₄ tribo-pair, a lot of metal debris was scattered on contact surfaces leading to high friction coefficient, current density and big wear volume.

This research suggests that the lubrication effect of silicon-based ceramics is related to counterpart specimen in artificial seawater.

The results may help us to choose the appropriate ceramic ball under seawater environment.

The main originality of the work is to reveal the tribocorrosion behavior of 304SS sliding against SiC and Si₃N₄ balls, which help us to realize that the Si₃N₄ ball as water-lubricated ceramics could not exhibit lubrication effect when coupled with 304SS in artificial seawater.