305 A non-contact torque sensor system using iterative phase difference detection method

2008 ◽  
Vol 2008.8 (0) ◽  
pp. 9-10
Author(s):  
Takahiko TSUJISAWA ◽  
Kazuhiro YAMAKAWA ◽  
Kazuyuki Abe
Keyword(s):  
Phase Difference ◽  
Detection Method ◽  
Sensor System ◽  
Torque Sensor ◽  
Difference Detection

Voltage Phase Difference Detection for Superconductor Quench

2014 ◽  
Vol 933 ◽  
pp. 82-85
Author(s):  
Shi Feng Wang ◽  
Yi Xiang Yue ◽  
Jin Fang
Keyword(s):  
Phase Difference ◽  
Detection Method ◽  
Phase Detection ◽  
Test Results ◽  
Development Platform ◽  
Advantages And Disadvantages ◽  
Difference Detection ◽  
Protection Systems ◽  
Actual Operation ◽  
Voltage Phase

In this paper, the actual operation of the superconducting motor and electrical parameters, a detailed analysis of the advantages and disadvantages of the existing quench detection method. After that I proposed an innovative detection method - voltage phase difference detection. On this basis, the design phase detection method based on the voltage difference quench detection and protection systems, based on stand-alone test and NI development platform test results, we verify its feasibility of the voltage phase difference detection method, and great superiority.

scholarly journals [Paper] A Low Noise and High Sensitivity Image Sensor with Imaging and Phase-Difference Detection AF in All Pixels

2016 ◽  
Vol 4 (2) ◽  
pp. 123-128 ◽  
Author(s):  
Masahiro Kobayashi ◽  
Michiko Johnson ◽  
Yoichi Wada ◽  
Hiromasa Tsuboi ◽  
Hideaki Takada ◽  
...  
Keyword(s):  
Phase Difference ◽  
High Sensitivity ◽  
Image Sensor ◽  
Low Noise ◽  
Difference Detection

Tumor cell detection method using complement-mediated cytolytic reaction and imaging sensor system

1987 ◽  
Vol 15 (3) ◽  
pp. 191-200 ◽  
Author(s):  
Masayasu Suzuki ◽  
Nobuyuki Watamabe ◽  
Eiichi Tamiya ◽  
Tetsuro Kataoka ◽  
Tohru Tokunaga ◽  
...  
Keyword(s):  
Tumor Cell ◽  
Detection Method ◽  
Sensor System ◽  
Cell Detection ◽  
Tumor Cell Detection ◽  
Imaging Sensor

Research of Magnetic Grid Rail Splicing Technology Based on Phase Difference Detection Method

2013 ◽  
Vol 278-280 ◽  
pp. 905-914
Author(s):  
Wen Tao Gu ◽  
Shao Kun Lei ◽  
Fang Li ◽  
Shao Wei Zhou
Keyword(s):  
Real Time ◽  
Phase Difference ◽  
Detection Algorithm ◽  
Initial Position ◽  
Signal Frequency ◽  
Simulation Test ◽  
Signal Phase ◽  
Difference Detection ◽  
Phase Errors ◽  
New Type

To meet the high real-time performance and high accuracy requirements of signal detection in the rail splicing process, this paper proposes a new type of magnetic grid rail splicing method based on accurately zeroing output signal phase difference of two magnetic grid reading heads, thus establishing two reading heads “shift” rules. The accurate zero setting technology of phase difference is based on Nuttall window algorithm, which doesn’t need to give the exact signal frequency beforehand and sample periodically, and can effectively eliminate phase errors. So this algorithm is suitable for detecting signal phase difference when reading heads go over buff joints with any speed at any initial position. Additionally, simulation test and experimental verification were performed on this detection algorithm and “shift” rules. The results show that, the method mentioned in this paper can real-time detect the phase difference by “shift” rules, when reading heads go over buff joints with any speed or any acceleration.

scholarly journals Proposal and Performance Evaluation of a Magneto-Striction Type Torque Sensor Consisting of Small-Sized Coils Connected in Series

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Takahiko Tsujisawa ◽  
Kazuhiro Yamakawa
Keyword(s):  
Performance Evaluation ◽  
Response Time ◽  
Detection Method ◽  
Torque Sensor ◽  
Detection Range ◽  
Performance Targets ◽  
Sensor Drift ◽  
In Series ◽  
Target Performance ◽  
And Performance

We propose a sensor consisting of small-sized coils connected in series and a detection method for the sensor based on the iteration of the periodic time difference. The evaluation results are also presented and show the effectiveness of the proposed system. The target performance of the sensor is as follows: (i) a detection range from 0 to ±100 Nm, (ii) a hysteresis error of less than 1%, (iii) an angular-dependent noise of less than 2%, and (iv) a sensor drift of less than 2%. From the evaluation results, it is clear that these performance targets, as well as a sufficient response time, are realized.

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