Real-time performance monitoring of fiber optic long-distance time and RF frequency transfer links

2016 ◽  
Author(s):  
Sliwczynski Lukasz ◽  
Krehlik Przemyslaw ◽  
Salwik Karol
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Fiber Optic ◽  
Long Distance ◽  
Time Performance ◽  
Frequency Transfer

Real-time Performance Monitoring of MPC Based on Covariance Index Prediction

2014 ◽  
Vol 39 (5) ◽  
pp. 658-663 ◽  
Author(s):  
Xue-Min TIAN ◽  
Ya-Jie SHI ◽  
Yu-Ping CAO
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Time Performance

scholarly journals Optimization of time and frequency fiber-optic links exploiting bi-directional amplifiers, based on real-time performance measurement

2021 ◽  
Vol 62 ◽  
pp. 102465
Author(s):  
Karol Salwik ◽  
Łukasz Śliwczyński ◽  
Przemysław Krehlik ◽  
Jacek Kołodziej
Keyword(s):  
Performance Measurement ◽  
Real Time ◽  
Fiber Optic ◽  
Time Performance

scholarly journals An Improved High-Intelligence Method of Gas and Oil Pipeline Prewarning System in Real Soil Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Fang Wang ◽  
Jichuan Xing ◽  
Jinxin Li ◽  
Feng Zhao ◽  
Shufeng Zhang
Keyword(s):  
Optical Fiber ◽  
Real Time ◽  
Recognition Accuracy ◽  
Signal Acquisition ◽  
Soil Environment ◽  
Long Distance ◽  
Vibration Signals ◽  
Oil Pipeline ◽  
Time Performance ◽  
High Intelligence

With the development of technology, the total extent of global pipeline transportation is also increased. However, the traditional long-distance optical fiber prewarning system has poor real-time performance and high false alarm rate when recognizing events threatening pipeline safety. The same vibration signal would vary greatly when collected in different soil environments and this problem would reduce the signal recognition accuracy of the prewarning system. In this paper, we studied this effect theoretically and analyzed soil vibration signals under different soil conditions. Then we studied the signal acquisition problem of long-distance gas and oil pipeline prewarning system in real soil environment. Ultimately, an improved high-intelligence method was proposed for optimization. This method is based on the real application environment, which is more suitable for the recognition of optical fiber vibration signals. Through experiments, the method yielded high recognition accuracy of above 95%. The results indicate that the method can significantly improve signal acquisition and recognition and has good adaptability and real-time performance in the real soil environment.

scholarly journals Real-time Performance Monitoring of Electrical Submersible Pumps in SAGD Process

2021 ◽  
Vol 54 (11) ◽  
pp. 139-144
Author(s):  
Mengqi Fang ◽  
Rahul Raveendran ◽  
Biao Huang
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Time Performance ◽  
Electrical Submersible Pumps

Business Artifact-Centric Modeling for Real-Time Performance Monitoring

2011 ◽  
pp. 265-280 ◽  
Author(s):  
Rong Liu ◽  
Roman Vaculín ◽  
Zhe Shan ◽  
Anil Nigam ◽  
Frederick Wu
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Time Performance
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