Multi-Channel Dual-Mode Oil Multi-Pollutant Detection Sensor
| Autor: | Chenyong Wang, Hongpeng Zhang, Chenzhao Bai, Wei Li, Shengzhao Wang, Shuyao Zhang |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Marine Science and Engineering, Vol 11, Iss 10, p 1938 (2023) |
| Druh dokumentu: | article |
| ISSN: | 11101938 2077-1312 |
| DOI: | 10.3390/jmse11101938 |
| Popis: | In order to realize the lubricant fluid condition monitoring of ships and offshore engineering equipment, a multi-channel, dual-mode oil multi-pollution detection sensor is proposed and fabricated. The sensor has three detection channels connected via tee tubes, as well as two different detection modes, inductive and capacitive, respectively. In comparison to the traditional sensor, this sensor not only has the ability to distinguish and identify a diverse range of pollutants, but it also experiences an 11-fold increase in its volume of flow, resulting in a significant enhancement in detection efficiency. The mechanism of the inductive and capacitive modes for the differentiated detection of multiple pollutants is elucidated through theoretical analysis. The performance of the sensor is investigated using the constructed experiment platform. The experimental results show that the sensor can realize the simultaneous detection of metallic and non-metallic contaminants in lubricating oil fluids. It can detect the smallest iron particle size of 54 μm, the smallest copper particle size of 90 μm, the smallest water droplet size of 116 μm, and the smallest air bubble size of 130 μm. A novel approach for achieving ship and marine engineering equipment health monitoring and fault diagnosis is presented in this study. |
| Databáze: | Directory of Open Access Journals |
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