Multi-Channel Dual-Mode Oil Multi-Pollutant Detection Sensor Article Swipe
Chenyong Wang
,
Hongpeng Zhang
,
Chenzhao Bai
,
Wei Li
,
Shengzhao Wang
,
Shuyao Zhang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/jmse11101938
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/jmse11101938
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.
Related Topics
Concepts
Capacitive sensing
Pollutant
Fault detection and isolation
Materials science
Channel (broadcasting)
Dual mode
Lubricant
Particle size
Environmental science
Marine engineering
Acoustics
Computer science
Electronic engineering
Electrical engineering
Engineering
Chemistry
Physics
Composite material
Organic chemistry
Actuator
Chemical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jmse11101938
- https://www.mdpi.com/2077-1312/11/10/1938/pdf?version=1696742721
- OA Status
- gold
- Cited By
- 1
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387458889
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387458889Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/jmse11101938Digital Object Identifier
- Title
-
Multi-Channel Dual-Mode Oil Multi-Pollutant Detection SensorWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-08Full publication date if available
- Authors
-
Chenyong Wang, Hongpeng Zhang, Chenzhao Bai, Wei Li, Shengzhao Wang, Shuyao ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/jmse11101938Publisher landing page
- PDF URL
-
https://www.mdpi.com/2077-1312/11/10/1938/pdf?version=1696742721Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2077-1312/11/10/1938/pdf?version=1696742721Direct OA link when available
- Concepts
-
Capacitive sensing, Pollutant, Fault detection and isolation, Materials science, Channel (broadcasting), Dual mode, Lubricant, Particle size, Environmental science, Marine engineering, Acoustics, Computer science, Electronic engineering, Electrical engineering, Engineering, Chemistry, Physics, Composite material, Organic chemistry, Actuator, Chemical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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