scholarly journals Real-Time and Online Lubricating Oil Condition Monitoring Enabled by Triboelectric Nanogenerator

ACS Nano ◽  
2021 ◽  
Author(s):  
Jun Zhao ◽  
Di Wang ◽  
Fan Zhang ◽  
Yuan Liu ◽  
Baodong Chen ◽  
...  
Keyword(s):  
Real Time ◽  
Condition Monitoring ◽  
Lubricating Oil ◽  
Triboelectric Nanogenerator ◽  
Oil Condition Monitoring

Cloud-connected real-time oil condition monitoring of utility transformers using impedance spectroscopy

2021 ◽  
pp. 1-12 ◽  
Author(s):  
Birhanu Alemayehu ◽  
Akash Kota ◽  
Amy Neidhard-Doll ◽  
Vamsy Chodavarapu ◽  
Guru Subramanyam
Keyword(s):  
Impedance Spectroscopy ◽  
Real Time ◽  
Condition Monitoring ◽  
Oil Condition Monitoring

On-Line Oil Condition Monitoring System

2013 ◽  
Vol 475-476 ◽  
pp. 7-11 ◽  
Author(s):  
Xin Yuan Liang
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Basic Research ◽  
Lubricating Oil ◽  
Oil Condition Monitoring ◽  
Computer Image Processing ◽  
On Line ◽  
Condition Monitoring System ◽  
New Research ◽  
Oil Monitoring

An on-line monitoring system was proposed to monitor lubrication oil real-time condition. Oil is the machine equipment blood, and its condition has very serious influence on machine running. Firstly, this paper expiated the research significance of on-line oil monitoring. Then the key problem of on-line oil monitoring was discussed and its goal was analyzed. Furthermore, basic research content and research thread were put forward. Based on the modern photoelectric detection, microscopic imaging and computer image processing technology, an on-line acquisition system of lubricating oil particle image was proposed. This work provides a new research idea for on-line monitoring system which is important to develop the technology of oil condition monitoring.

Lubricating Oil Condition Monitoring Method by Online Colorimetric Device

2017 ◽  
Vol 2017.54 (0) ◽  
pp. J034
Author(s):  
Zuliana ZAINOL ◽  
Tomomi HONDA ◽  
Hideki AKITA ◽  
Wataru MINAMI
Keyword(s):  
Condition Monitoring ◽  
Lubricating Oil ◽  
Monitoring Method ◽  
Oil Condition Monitoring

Lubricating Oil Condition Monitoring Using Vibration and Air-Borne Acoustic Measurements

Volume 3 ◽  
2004 ◽  
Author(s):  
A. Albarbar ◽  
R. Gennish ◽  
F. Gu ◽  
A. Ball
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Frequency Band ◽  
High Reliability ◽  
Fault Detection And Diagnosis ◽  
Engine Oil ◽  
Lubricating Oil ◽  
Oil Viscosity ◽  
Oil Condition Monitoring ◽  
Engine Maintenance

Modern diesel engine maintenance programs incorporate various methods and techniques for early fault detection and diagnosis to maintain efficiency, low pollution and high reliability and to avoid catastrophic failures. This study has been conducted aiming at engine oil condition monitoring and quality evaluation by analysing the engine block vibration and its induced noise. The vibration signals were measured using an accelerometer mounted on the thrust side of the first cylinder in a four cylinder diesel engine, and the noise was recorded using a microphone facing the cylinder. The signals are then band pass filtered and transformed to the frequency domain, where the amplitudes of the different frequency components of the vibration and noise waveforms are analysed and compared to the vibration and noise baseline signatures. The mean amplitudes of the spectral components in the frequency band 900 Hz to 2.5 kHz were found linearly proportional to the engine speed and load. It was also found that the RMS values of this frequency band are affected by the oil viscosity. These results show that it is possible to use vibration and airborne acoustics to predict the quality of lubrication.

New Solid State Oil Condition Sensor for Real Time Engine Oil Condition Monitoring

2006 ◽  
Author(s):  
James W. Bennett ◽  
Leonid Matsiev ◽  
Mark Uhrich ◽  
Oleg Kolosov ◽  
Zbigniew Bryning ◽  
...  
Keyword(s):  
Solid State ◽  
Real Time ◽  
Condition Monitoring ◽  
Engine Oil ◽  
Oil Condition Monitoring

A Multi-parameter Joint Warning Mechanism for Physical Condition Monitoring System in Physical Education

2020 ◽  
Vol 14 (1) ◽  
pp. 113-119
Author(s):  
Zhang Su
Keyword(s):  
Physical Education ◽  
False Alarm ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Early Warning ◽  
Physical Condition ◽  
School Students ◽  
Early Warning Mechanism ◽  
Number Of Segments

Background: In recent years, sudden deaths of primary and secondary school students caused by sports activities have drawn great attention in education and medical circles. It is necessary for schools to monitor the physical condition of the students in order to reasonably set the duration of their physical activity. At present, the physical condition monitoring instruments used in various hospitals are expensive, bulky, and difficult to operate, and the detection process is complicated. Therefore, existing approaches cannot meet the needs of physical education teachers on campus for detecting the physical condition of students. Methods: This study designs a portable human-physiological-state monitoring and analysis system. Real-time communication between a wearable measurement device and a monitoring device can be ensured by real-time detection of the environment and power control of the transmitted signal. Results: From a theoretical point of view, the larger the number of segments M, the more significantly the reduction of false alarm probability. The simulation results also show this fact. Compared with the conventional early warning mechanism, the probability of a false alarm for the proposed system is lower, and the greater the number of segments, the faster its reaction speed. Conclusion: The portable monitoring system of student physical condition for use in physical education of primary and middle school students proposed in this paper ensures real-time monitoring of the members within the system in an open environment, and further proposes an early warning mechanism for combining multiple vital sign parameters. In addition, the proposed system functions faster; the average early warning time required is only one-quarter of that of the conventional system.

scholarly journals Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu
Keyword(s):  
Smart Grid ◽  
Power Consumption ◽  
Real Time ◽  
Condition Monitoring ◽  
Resource Constraints ◽  
Detection System ◽  
Stable Operation ◽  
Detection Accuracy ◽  
Monitoring Method ◽  
Dsp Processors

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.

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