Comprehensive detection method for multi-contaminants in hydraulic oil based on inductance-resistance-capacitance analysis. (September 2022)
- Record Type:
- Journal Article
- Title:
- Comprehensive detection method for multi-contaminants in hydraulic oil based on inductance-resistance-capacitance analysis. (September 2022)
- Main Title:
- Comprehensive detection method for multi-contaminants in hydraulic oil based on inductance-resistance-capacitance analysis
- Authors:
- Shi, Haotian
Yu, Shuang
Xie, Yucai
Li, Wei
Zhang, Hongpeng
Zheng, Yiwen
Zhang, Shuyao
Li, Guobin
Sun, Yuqing
Chen, Haiquan - Abstract:
- Abstract: Oil condition monitoring technology is a practical method for mechanical fault diagnosis, because oil contamination can directly reflect the lubrication and wear state. A comprehensive detection method based on integrated sensor consisting of an inductance-resistance sensing unit and a capacitance sensing unit is introduced in this article. Inductance parameter differentiates metallic debris, and the coil-based resistance parameter can detect smaller non-ferromagnetic metallic debris. Capacitance parameter is used to measure air bubbles and moisture, and the moisture measurement is not interfered by solid impurities. The simulation analysis showed that annular channel reduces the instability of inductive-resistive detection caused by position effect. The experimental results proved that the integrated inductive-resistive-capacitive sensor detects air bubbles, moisture, ferromagnetic debris and non-ferromagnetic debris by comparing multi-parameter signals. This method expands the detection range for oil contamination, and reduces the probability of incorrect particle counting and incorrect size measurement, which provides technical support for the intelligent operation and maintenance of mechanical equipment. Graphical Abstract: ga1 Highlights: A comprehensive detection method for multi-contaminants based on inductance-resistance-capacitance analysis is introduced. This method reduces the probability of incorrect particle counting and incorrect size measurement.Abstract: Oil condition monitoring technology is a practical method for mechanical fault diagnosis, because oil contamination can directly reflect the lubrication and wear state. A comprehensive detection method based on integrated sensor consisting of an inductance-resistance sensing unit and a capacitance sensing unit is introduced in this article. Inductance parameter differentiates metallic debris, and the coil-based resistance parameter can detect smaller non-ferromagnetic metallic debris. Capacitance parameter is used to measure air bubbles and moisture, and the moisture measurement is not interfered by solid impurities. The simulation analysis showed that annular channel reduces the instability of inductive-resistive detection caused by position effect. The experimental results proved that the integrated inductive-resistive-capacitive sensor detects air bubbles, moisture, ferromagnetic debris and non-ferromagnetic debris by comparing multi-parameter signals. This method expands the detection range for oil contamination, and reduces the probability of incorrect particle counting and incorrect size measurement, which provides technical support for the intelligent operation and maintenance of mechanical equipment. Graphical Abstract: ga1 Highlights: A comprehensive detection method for multi-contaminants based on inductance-resistance-capacitance analysis is introduced. This method reduces the probability of incorrect particle counting and incorrect size measurement. Annular channel structure reduces the instability of inductive-resistive detection caused by position effect. … (more)
- Is Part Of:
- Tribology international. Volume 173(2022)
- Journal:
- Tribology international
- Issue:
- Volume 173(2022)
- Issue Display:
- Volume 173, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 173
- Issue:
- 2022
- Issue Sort Value:
- 2022-0173-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09
- Subjects:
- Oil condition monitoring -- Integrated sensor -- Comprehensive detection -- Inductance-resistance-capacitance analysis -- Multi-contaminants
Tribology -- Periodicals
621.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00412678 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.triboint.2022.107609 ↗
- Languages:
- English
- ISSNs:
- 0301-679X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9050.217300
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21797.xml