Application of Modern Emission Spectrography in Oil Monitoring

2011 ◽  
Vol 138-139 ◽  
pp. 723-726
Author(s):  
Bo Jian Yu ◽  
Xin Nian Li ◽  
Xu Feng Jiang
Keyword(s):  
Condition Monitoring ◽  
Analytical Process ◽  
The Core ◽  
Monitoring Technique ◽  
Oil Monitoring

In this paper, the principles of modern emission spectrography technique was described and the analytical process and characteristics of it was introduced. Based on an review of its application in equipment oil monitoring, emission spectrography was thought a very valuable technique of lubricants condition monitoring. Now, emission spectrography has become the core of the modern oil monitoring technique, and its development and application prospect are extremely wide.

Development of Reliable Condition Monitoring Technology for Maritime Using FMECA and Bayesian Network Modeling

2018 ◽  
Author(s):  
Shan Guan ◽  
Knut Erik Knutsen ◽  
Øystein Åsheim Alnes
Keyword(s):  
Bayesian Network ◽  
Failure Mode ◽  
Condition Monitoring ◽  
Failure Modes ◽  
Vibration Monitoring ◽  
Mode Effects ◽  
Monitoring Technique ◽  
Oil Monitoring ◽  
Criticality Analysis ◽  
Over Time

Condition monitoring technique has been widely applied in Maritime to ensure safe operation and minimise unscheduled downtime. However, in practice, ship operators need to assure that a failure mode is indeed monitored by the sensor intended for it, and the sensor has sufficient accuracy and precision for its purpose. Additionally, for a reliable condition monitoring technique, issues such as sensors degradation or drift that will reduce the data quality over time must be addressed. All these require that ship owners to select a monitoring system with the best suitable sensors technology while is economically viable. In this paper, tunnel thruster was used as a case study to demonstrate the basic approach to develop a reliable condition monitoring technique through Failure Mode, Effects and Criticality Analysis (FMECA). Based on failure modes, four types of condition monitoring techniques were identified including Vibration Monitoring, Acoustic Emission Monitoring, Wear Debris /Water in Oil Monitoring, and Thermal Monitoring, where vibration monitoring is discussed in detail as an example for defining the sensor specification. For a reliable condition monitoring technique, prediction of sensor reliability will be especially useful in the situation where sensors systems can degrade over time in service. Using temperature sensors as an example, a Bayesian network (BN) modeling approach has been carried out for assessing sensor reliability affected by aging.

scholarly journals Railway Axle Condition Monitoring Technique Based on Wavelet Packet Transform Features and Support Vector Machines

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3575 ◽  
Author(s):  
María Jesús Gómez ◽  
Cristina Castejón ◽  
Eduardo Corral ◽  
Juan Carlos García-Prada
Keyword(s):  
Condition Monitoring ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Support Vector ◽  
Good Reliability ◽  
Railway Axle ◽  
Monitoring Technique ◽  
The Status ◽  
Minimum Number ◽  
Diagnosis Model

Railway axles are critical to the safety of railway vehicles. However, railway axle maintenance is currently based on scheduled preventive maintenance using Nondestructive Testing. The use of condition monitoring techniques would provide information about the status of the axle between periodical inspections, and it would be very valuable in the prevention of catastrophic failures. Nevertheless, in the literature, there are not many studies focusing on this area and there is a lack of experimental data. In this work, a reliable real-time condition-monitoring technique for railway axles is proposed. The technique was validated using vibration measurements obtained at the axle boxes of a full bogie installed on a rig, where four different cracked railway axles were tested. The technique is based on vibration analysis by means of the Wavelet Packet Transform (WPT) energy, combined with a Support Vector Machine (SVM) diagnosis model. In all cases, it was observed that the WPT energy of the vibration signals at the first natural frequency of the axle when the wheelset is first installed (the healthy condition) increases when a crack is artificially created. An SVM diagnosis model based on the WPT energy at this frequency demonstrates good reliability, with a false alarm rate of lower than 10% and defect detection for damage occurring in more than 6.5% of the section in more than 90% of the cases. The minimum number of wheelsets required to build a general model to avoid mounting effects, among others things, is also discussed.

A Practical On-Board SiC MOSFET Condition Monitoring Technique for Aging Detection

2020 ◽  
Vol 56 (3) ◽  
pp. 2828-2839 ◽  
Author(s):  
Shi Pu ◽  
Fei Yang ◽  
Bhanu Teja Vankayalapati ◽  
Enes Ugur ◽  
Chi Xu ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Monitoring Technique

A Stator Winding Insulation Condition Monitoring Technique for Inverter-Fed Machines

2007 ◽  
Vol 22 (5) ◽  
pp. 2026-2033 ◽  
Author(s):  
Jinkyu Yang ◽  
Sang Bin Lee ◽  
Jiyoon Yoo ◽  
Sanghoon Lee ◽  
Yongmin Oh ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Stator Winding ◽  
Monitoring Technique ◽  
Winding Insulation ◽  
Insulation Condition

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.

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