Laihao MA

Mr. Laihao MA


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
15 October 2022 in Ocean Engineering
Verified
Journal Article
Closed access
LMLaihao MA
Laihao MA
XMXiaoxue Ma
Xiaoxue Ma
HLHe Lan
He Lan
YLYang Liu
Yang Liu
WDWanyi Deng
Wanyi Deng

31 October 2022 in Ocean Engineering
Verified
Journal Article
Closed access
LMLaihao MA
Laihao MA
XMXiaoxue Ma
Xiaoxue Ma
HLHe Lan
He Lan
YLYang Liu
Yang Liu
WDWanyi Deng
Wanyi Deng

6 February 2024 in Ocean Engineering
Verified
Journal Article
Closed access
LMLaihao MA
Laihao MA
XMXiaoxue Ma
Xiaoxue Ma
TWTing Wang
Ting Wang
YZYulan Zhao
Yulan Zhao
HLHe Lan
He Lan

10 February 2020 in Micromachines
Verified
Journal Article
Open access
PDF file
BCBai chenzhao
Bai chenzhao
Hongpeng ZhangHongpeng Zhang
Hongpeng Zhang
LZLin Zeng
Lin Zeng
XZXupeng Zhao
Xupeng Zhao
LMLaihao MA
Laihao MA
The wear debris in hydraulic oil or lubricating oil has a wealth of equipment operating information, which is an important basis for large mechanical equipment detection and fault diagnosis. Based on traditional inductive oil detection technology, magnetic nanoparticles are exploited in this paper. A new inductive oil detection sensor is designed based on the characteristics of magnetic nanoparticles. The sensor improves detection sensitivity based on distinguishing between ferromagnetic and non-ferromagnetic wear debris. Magnetic nanoparticles increase the internal magnetic field strength of the solenoid coil and the stability of the internal magnetic field of the solenoid coil. During the experiment, the optimal position of the sensor microchannel was first determined, then the effect of the magnetic nanoparticles on the sensor’s detection was confirmed, and finally the concentration ratio of the mixture was determined. The experimental results show that the inductive oil detection sensor made of magnetic nanoparticle material had a higher detection effect, and the signal-to-noise ratio (SNR) of 20–70 μm ferromagnetic particles was increased by 20%–25%. The detection signal-to-noise ratio (SNR) of 80–130 μm non-ferromagnetic particles was increased by 16%–20%. The application of magnetic nanoparticles is a new method in the field of oil detection, which is of great significance for fault diagnosis and the life prediction of hydraulic systems.

1 February 2022 in Journal of Loss Prevention in the Process Industries
Verified
Journal Article
Closed access
LMLaihao MA
Laihao MA
XMXiaoxue Ma
Xiaoxue Ma
PXPengfei Xing
Pengfei Xing
FYFanyong Yu
Fanyong Yu

30 August 2024 in Ocean Engineering
Verified
Journal Article
Closed access
LMLaihao MA
Laihao MA
LCLiguang Chen
Liguang Chen
XMXiaoxue Ma
Xiaoxue Ma
TWTing Wang
Ting Wang
JZJianqi Zhang
Jianqi Zhang