scholarly journals Effective Condition Monitoring Methods for Diesel Main Bearing -High Frequency Vibration Measurement and Wear Particle Detection

2007 ◽  
Vol 42 (4) ◽  
pp. 560-565 ◽  
Author(s):  
Kazuyuki Okamoto ◽  
Hiromi Shiihara ◽  
Yuya Nagayama ◽  
Tadahiko Kurosawa
2011 ◽  
Vol 77 (777) ◽  
pp. 1760-1771 ◽  
Author(s):  
Daisuke MIYAMOTO ◽  
Itsuro KAJIWARA ◽  
Naoki HOSOYA ◽  
Chiaki NISHIDOME

2013 ◽  
Author(s):  
Hatem Oueslati ◽  
Jayesh R. Jain ◽  
Hanno Reckmann ◽  
L.W. Ledgerwood ◽  
Rolf Pessier ◽  
...  

Author(s):  
Bin Zhou

Steam turbine mechanical breakdowns dominate equipment losses in the Power-Gen and Forest Product industries. As steam turbines are likely custom-built, variations in design, operation and maintenance practices across different industries could result in different levels of significance of the loss drivers. The present study focuses on comparing the turbine loss drivers and effective condition monitoring for loss mitigation in both industries. Steam turbine loss events from the two industries during a recent 10-year period were first reviewed and classified into typical turbine loss scenarios. Contributions of each loss scenario to the total loss count and value were summarized and compared across the two industries. Subsequently, applicable turbine condition monitoring methods were identified for each loss scenario, and evaluated with expert domain knowledge and available loss data. These monitoring methods were finally prioritized according to their functional effectiveness in turbine loss reduction.


2010 ◽  
Vol 2010 (0) ◽  
pp. _656-1_-_656-6_
Author(s):  
Daisuke MIYAMOTO ◽  
Itsuro KAJIWARA ◽  
Naoki HOSOYA ◽  
Takahito KOGAWA ◽  
Yasutaka SAKURAI

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Yang Lei ◽  
Xinyu Tian ◽  
Falin Qi ◽  
Dongsheng Chen ◽  
Tian Tian

A three-dimensional deformable finite element model of wheel-rail system is established. The vertical vibration natural frequencies are calculated by modal analysis. The improved central difference method by ABAQUS explicit nonlinear dynamics module is chosen to calculate the vertical vibration of wheel axle. Through the vibration measurement experiment ofLMAwheel by China Academy of Railway Sciences, the contact parameter is optimized and the model is modified. According to the nonlinear simulation results, the important influence of vertical track irregularity on the wheel set high-frequency vibration is discovered. The advantage frequencies through spectrum are close to the vertical vibration natural frequencies of seventh, eighth, ninth, and tenth mode. When the velocity is 350 km/h, system’s nonlinear dynamic characteristic is higher than the results at 200 km/h. The critical wavelength of vertical track irregularity on the wheel vertical vibration is about 0.8 m. In addition, a particular attention should be paid to one situation that the main dominant frequency amplitude is more than 50% of the acceleration amplitude even if the peak acceleration is low.


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