Research on Inductive Oil Contaminant Detection Sensor Based on High Gradient Magnetic Field Structure Article Swipe
Chenzhao Bai
,
Chengjie Wang
,
Xiaotian Wang
,
Shuang Yu
,
Hongpeng Zhang
,
Wei Li
,
Yuqing Sun
,
Guobin Li
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3901/jme.2022.23.098
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3901/jme.2022.23.098
：Some contaminants will inevitably be introduced into the oil of machinery and equipment, and these contaminants will affect the normal operation of the equipment, especially metal abrasive particles.To a certain extent, the properties of abrasive particles reflect the wear status of the equipment.There are many methods for detecting abrasive particles, and the inductance detection method is widely used because of its simple structure.The accuracy of traditional inductance detection method is not high.In this study, a high-permeability permalloy with rectangular slots is attached to both sides of the detection coil, which can cause the magnetic field to concentrate in the sensing area.First, the magnetic field strength of different permalloy structures is analyzed by simulation.The results show that the magnetic field of the triangular slot structure is concentrated but not uniform, the rectangular opening slot has a higher magnetic field strength, and the magnetic field distribution is uniform and concentrated.Then according to the simulation results, relevant experiments are carried out.The results show that after adding permalloy with rectangular grooves, the signal-to-noise ratio(SNR) of ferromagnetic metal particle detection is increased by 20%, and the lower detection limit is increased to 30 μm; the SNR of non-ferromagnetic gold particles is increased by more than 70%, the detection offline is increased to 100 μm, and the detection accuracy of the sensor is significantly improved.This paper provides a high-precision inductance detection method to detect pollutants in oil, which is of great significance to the life diagnosis and health monitoring of the oil system.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3901/jme.2022.23.098
- http://www.cjmenet.com.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=26058
- OA Status
- diamond
- Cited By
- 1
- References
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- 10
- OpenAlex ID
- https://openalex.org/W4375843907
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https://openalex.org/W4375843907Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3901/jme.2022.23.098Digital Object Identifier
- Title
-
Research on Inductive Oil Contaminant Detection Sensor Based on High Gradient Magnetic Field StructureWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
-
Chenzhao Bai, Chengjie Wang, Xiaotian Wang, Shuang Yu, Hongpeng Zhang, Wei Li, Yuqing Sun, Guobin LiList of authors in order
- Landing page
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https://doi.org/10.3901/jme.2022.23.098Publisher landing page
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https://www.cjmenet.com.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=26058Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.cjmenet.com.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=26058Direct OA link when available
- Concepts
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Inductive sensor, Magnetic field, Field (mathematics), Environmental science, Materials science, Engineering, Electrical engineering, Physics, Mathematics, Pure mathematics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.to | 82, 95, 149, 186, 206, 226, 236 |
| abstract_inverted_index.100 | 207 |
| abstract_inverted_index.SNR | 190 |
| abstract_inverted_index.and | 11, 13, 50, 139, 146, 179, 209, 240 |
| abstract_inverted_index.are | 43, 155 |
| abstract_inverted_index.but | 126 |
| abstract_inverted_index.can | 90 |
| abstract_inverted_index.for | 46 |
| abstract_inverted_index.has | 133 |
| abstract_inverted_index.its | 60 |
| abstract_inverted_index.not | 70, 127 |
| abstract_inverted_index.oil | 8, 245 |
| abstract_inverted_index.the | 7, 18, 22, 31, 37, 41, 51, 86, 92, 98, 101, 116, 120, 129, 140, 150, 167, 180, 189, 201, 210, 214, 237, 244 |
| abstract_inverted_index.20%, | 178 |
| abstract_inverted_index.70%, | 200 |
| abstract_inverted_index.both | 83 |
| abstract_inverted_index.gold | 193 |
| abstract_inverted_index.into | 6 |
| abstract_inverted_index.life | 238 |
| abstract_inverted_index.many | 44 |
| abstract_inverted_index.more | 198 |
| abstract_inverted_index.oil, | 230 |
| abstract_inverted_index.show | 114, 159 |
| abstract_inverted_index.slot | 122, 132 |
| abstract_inverted_index.than | 199 |
| abstract_inverted_index.that | 115, 160 |
| abstract_inverted_index.this | 72 |
| abstract_inverted_index.used | 57 |
| abstract_inverted_index.wear | 38 |
| abstract_inverted_index.will | 2, 16 |
| abstract_inverted_index.with | 77, 164 |
| abstract_inverted_index.μm, | 208 |
| abstract_inverted_index.μm; | 188 |
| abstract_inverted_index.after | 161 |
| abstract_inverted_index.cause | 91 |
| abstract_inverted_index.coil, | 88 |
| abstract_inverted_index.field | 94, 103, 118, 137, 142 |
| abstract_inverted_index.great | 234 |
| abstract_inverted_index.limit | 183 |
| abstract_inverted_index.lower | 181 |
| abstract_inverted_index.metal | 25, 172 |
| abstract_inverted_index.paper | 219 |
| abstract_inverted_index.sides | 84 |
| abstract_inverted_index.slots | 79 |
| abstract_inverted_index.these | 14 |
| abstract_inverted_index.which | 89, 231 |
| abstract_inverted_index.adding | 162 |
| abstract_inverted_index.affect | 17 |
| abstract_inverted_index.detect | 227 |
| abstract_inverted_index.health | 241 |
| abstract_inverted_index.higher | 135 |
| abstract_inverted_index.method | 54, 68, 225 |
| abstract_inverted_index.normal | 19 |
| abstract_inverted_index.sensor | 215 |
| abstract_inverted_index.simple | 61 |
| abstract_inverted_index.status | 39 |
| abstract_inverted_index.study, | 73 |
| abstract_inverted_index.widely | 56 |
| abstract_inverted_index.because | 58 |
| abstract_inverted_index.carried | 156 |
| abstract_inverted_index.certain | 29 |
| abstract_inverted_index.extent, | 30 |
| abstract_inverted_index.high.In | 71 |
| abstract_inverted_index.methods | 45 |
| abstract_inverted_index.offline | 203 |
| abstract_inverted_index.opening | 131 |
| abstract_inverted_index.out.The | 157 |
| abstract_inverted_index.reflect | 36 |
| abstract_inverted_index.results | 113, 158 |
| abstract_inverted_index.sensing | 99 |
| abstract_inverted_index.system. | 246 |
| abstract_inverted_index.uniform | 145 |
| abstract_inverted_index.abrasive | 26, 34, 48 |
| abstract_inverted_index.accuracy | 63, 212 |
| abstract_inverted_index.analyzed | 110 |
| abstract_inverted_index.attached | 81 |
| abstract_inverted_index.grooves, | 166 |
| abstract_inverted_index.magnetic | 93, 102, 117, 136, 141 |
| abstract_inverted_index.particle | 173 |
| abstract_inverted_index.provides | 220 |
| abstract_inverted_index.relevant | 153 |
| abstract_inverted_index.results, | 152 |
| abstract_inverted_index.strength | 104 |
| abstract_inverted_index.uniform, | 128 |
| abstract_inverted_index.according | 148 |
| abstract_inverted_index.detecting | 47 |
| abstract_inverted_index.detection | 53, 67, 87, 174, 182, 202, 211, 224 |
| abstract_inverted_index.diagnosis | 239 |
| abstract_inverted_index.different | 106 |
| abstract_inverted_index.increased | 176, 185, 196, 205 |
| abstract_inverted_index.machinery | 10 |
| abstract_inverted_index.operation | 20 |
| abstract_inverted_index.particles | 35, 194 |
| abstract_inverted_index.permalloy | 76, 107, 163 |
| abstract_inverted_index.strength, | 138 |
| abstract_inverted_index.structure | 123 |
| abstract_inverted_index.equipment, | 12, 23 |
| abstract_inverted_index.especially | 24 |
| abstract_inverted_index.inductance | 52, 66, 223 |
| abstract_inverted_index.inevitably | 3 |
| abstract_inverted_index.introduced | 5 |
| abstract_inverted_index.monitoring | 242 |
| abstract_inverted_index.particles, | 49 |
| abstract_inverted_index.pollutants | 228 |
| abstract_inverted_index.properties | 32 |
| abstract_inverted_index.ratio(SNR) | 169 |
| abstract_inverted_index.simulation | 151 |
| abstract_inverted_index.structures | 108 |
| abstract_inverted_index.triangular | 121 |
| abstract_inverted_index.area.First, | 100 |
| abstract_inverted_index.concentrate | 96 |
| abstract_inverted_index.experiments | 154 |
| abstract_inverted_index.rectangular | 78, 130, 165 |
| abstract_inverted_index.traditional | 65 |
| abstract_inverted_index.concentrated | 125 |
| abstract_inverted_index.contaminants | 1, 15 |
| abstract_inverted_index.distribution | 143 |
| abstract_inverted_index.particles.To | 27 |
| abstract_inverted_index.significance | 235 |
| abstract_inverted_index.ferromagnetic | 171 |
| abstract_inverted_index.improved.This | 218 |
| abstract_inverted_index.significantly | 217 |
| abstract_inverted_index.structure.The | 62 |
| abstract_inverted_index.high-precision | 222 |
| abstract_inverted_index.simulation.The | 112 |
| abstract_inverted_index.Abstract：Some | 0 |
| abstract_inverted_index.equipment.There | 42 |
| abstract_inverted_index.signal-to-noise | 168 |
| abstract_inverted_index.concentrated.Then | 147 |
| abstract_inverted_index.high-permeability | 75 |
| abstract_inverted_index.non-ferromagnetic | 192 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.46359146 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |