Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery

Diesel engines in marine power systems often work in extreme environments. Oil monitoring technology can guarantee the operational safety of diesel engines. In this paper, a magnetic plug sensor for oil debris monitoring is proposed to improve sensitivity and accuracy. Through finite element analysi...

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Main Authors: Yuwei Zhang, Jiaju Hong, Haotian Shi, Yucai Xie, Hongpeng Zhang, Shuyao Zhang, Wei Li, Haiquan Chen
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/10/12/1883
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author Yuwei Zhang
Jiaju Hong
Haotian Shi
Yucai Xie
Hongpeng Zhang
Shuyao Zhang
Wei Li
Haiquan Chen
author_facet Yuwei Zhang
Jiaju Hong
Haotian Shi
Yucai Xie
Hongpeng Zhang
Shuyao Zhang
Wei Li
Haiquan Chen
author_sort Yuwei Zhang
collection DOAJ
description Diesel engines in marine power systems often work in extreme environments. Oil monitoring technology can guarantee the operational safety of diesel engines. In this paper, a magnetic plug sensor for oil debris monitoring is proposed to improve sensitivity and accuracy. Through finite element analysis, absolute deviation is reduced by optimizing the sensor structure. A bridge nonlinear correction circuit is designed to make sensitivity consistent over the entire scale range, which can facilitate calibration and data processing. In order to reduce noise and amplify the signal effectively, a signal post-processing circuit is adopted as well, which consists of a first stage filter circuit, a second stage filter, an active filter module, and an instrumentation amplifier. Therefore, this magnetic plug sensor exhibits better sensitivity and accuracy. Furthermore, a void test and a dynamic test are carried out to investigate its performance. There is a linear relationship between the voltage and the particle mass for the sensor with a bridge nonlinear correction circuit. The results illustrate a minimum of 0.033 mg iron debris with a 1.647 signal-to-noise ratio. Additionally, it can capture and detect 47 μm particles with a debris capture rate of over 90%, which allows it to excel in early fault diagnosis as well.
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spelling doaj.art-f60634e5ec4e4fa1bf931ca3ea460e2f2023-11-24T15:55:58ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-12-011012188310.3390/jmse10121883Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine MachineryYuwei Zhang0Jiaju Hong1Haotian Shi2Yucai Xie3Hongpeng Zhang4Shuyao Zhang5Wei Li6Haiquan Chen7School of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaSchool of Navigation College, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Engineering College, Dalian Maritime University, Dalian 116026, ChinaDiesel engines in marine power systems often work in extreme environments. Oil monitoring technology can guarantee the operational safety of diesel engines. In this paper, a magnetic plug sensor for oil debris monitoring is proposed to improve sensitivity and accuracy. Through finite element analysis, absolute deviation is reduced by optimizing the sensor structure. A bridge nonlinear correction circuit is designed to make sensitivity consistent over the entire scale range, which can facilitate calibration and data processing. In order to reduce noise and amplify the signal effectively, a signal post-processing circuit is adopted as well, which consists of a first stage filter circuit, a second stage filter, an active filter module, and an instrumentation amplifier. Therefore, this magnetic plug sensor exhibits better sensitivity and accuracy. Furthermore, a void test and a dynamic test are carried out to investigate its performance. There is a linear relationship between the voltage and the particle mass for the sensor with a bridge nonlinear correction circuit. The results illustrate a minimum of 0.033 mg iron debris with a 1.647 signal-to-noise ratio. Additionally, it can capture and detect 47 μm particles with a debris capture rate of over 90%, which allows it to excel in early fault diagnosis as well.https://www.mdpi.com/2077-1312/10/12/1883magnetic plug sensorbridge nonlinear correction circuithigh sensitivityhigh accuracy
spellingShingle Yuwei Zhang
Jiaju Hong
Haotian Shi
Yucai Xie
Hongpeng Zhang
Shuyao Zhang
Wei Li
Haiquan Chen
Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery
Journal of Marine Science and Engineering
magnetic plug sensor
bridge nonlinear correction circuit
high sensitivity
high accuracy
title Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery
title_full Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery
title_fullStr Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery
title_full_unstemmed Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery
title_short Magnetic Plug Sensor with Bridge Nonlinear Correction Circuit for Oil Condition Monitoring of Marine Machinery
title_sort magnetic plug sensor with bridge nonlinear correction circuit for oil condition monitoring of marine machinery
topic magnetic plug sensor
bridge nonlinear correction circuit
high sensitivity
high accuracy
url https://www.mdpi.com/2077-1312/10/12/1883
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