Particle Filter-Based Fault Detection for Toolface Measurement of Rotary Steerable Systems
Author:
Affiliation:
1. College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China
2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province of China
Research Fund for the Taishan Scholar Project of Shandong Province of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10146316.pdf?arnumber=10146316
Reference42 articles.
1. Review on Diagnosis Techniques for Intermittent Faults in Dynamic Systems
2. Sensors Incipient Fault Detection and Isolation Using Kalman Filter and Kullback–Leibler Divergence
3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
4. Sensor fault detection and minimum detectable fault analysis for dynamic point-the-bit rotary steerable system
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