Determination of metal particles in oil using a microfluidic chip-based inductive sensor

2015 ◽  
Vol 44 (3) ◽  
pp. 259-269 ◽  
Author(s):  
Yu Wu ◽  
Hongpeng Zhang ◽  
Lin Zeng ◽  
Haiquan Chen ◽  
Yuqing Sun
Author(s):  
M. E. Waitlevertch ◽  
K. W. Guardipee ◽  
J. E. Paterson ◽  
A. L. Wolfe

2013 ◽  
Vol 199 ◽  
pp. 67-72 ◽  
Author(s):  
Rafał Grądzki

In the article, new method of monitoring of rotor machine blades technical condition is presented. This method is based on diagnostic model φT12T01 [ which uses phase shift difference of signal fragments resulting from blade operation y (t) during blade recession from sensor and during approach of blade tip towards the sensor as well as signal of its environment x (t) described using proper distribution. The assumed diagnostic model also indirectly includes actual blade environment x (t) without necessity of its measurement [3,. Contactless inductive sensor constantly measures the signal of operating blade transition below the sensor. However, several difficulties with determination of last sample of blade receding from the sensor with first sample of blade approaching the sensor exist. Additionally the problem occurs with measurement of space between blades. So far, the case was solved by use 90% of this space range (in order to eliminate the overlapping of adjacent blades signals). Hence the problem of assessment of measurement period breadth on obtained models (images) of blades. The possibility of blade damage detection by analysis of less than 90% signal course was tested.


2016 ◽  
Vol 184 (1) ◽  
pp. 279-287 ◽  
Author(s):  
Rong Wang ◽  
Yi Xu ◽  
Renjie Wang ◽  
Chunyan Wang ◽  
Huazhou Zhao ◽  
...  
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