Application of Fuzzy Sets in Reliability and in Optimal Condition Monitoring Technique Selection in Equipment Maintenance

2019 ◽  
pp. 327-359
Author(s):  
Rajesh S. Prabhu Gaonkar
Keyword(s):  
Fuzzy Sets ◽  
Optimal Condition ◽  
Condition Monitoring ◽  
Equipment Maintenance ◽  
Monitoring Technique

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.

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

The New Vehicle Condition Monitoring Indicator VPR and its Short-Time Prediction ARMA Model

2013 ◽  
Vol 330 ◽  
pp. 350-356
Author(s):  
Jing Jing Wu ◽  
Qi Chang Li ◽  
Guang Long Wang ◽  
Feng Qi Gao ◽  
Zhong Tao Qiao
Keyword(s):  
Condition Monitoring ◽  
Performance Status ◽  
Arma Model ◽  
Equipment Maintenance ◽  
Position Information ◽  
Management Plans ◽  
Vibration Stress ◽  
Condition Monitoring System ◽  
Predictive Rate ◽  
Short Time

The vehicle storage & transportation condition monitoring system focuses on the real time acquisition and processing analyses of life cycle environmental temperature and humidity, shock and vibration stress and the attitude and position information of Vehicle, it is the effective supplement of vehicle equipment maintenance and management. Based on the vehicle storage state information defining a new index early warning rate vehicle predictive rate (VPR), and establish the ARMA forecasting model. The experimental results show that the model can slow the short-term trend fast track prediction to the small capacity samples of the VPR, and that about 12% of high precision. Prediction results help to establish the vehicle equipment maintenance quality management plans for the vehicles those in complex difference transportation environment, and their performance status is not the same.

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