Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2020.2964692 ◽

2021 ◽

Vol 17 (1) ◽

pp. 168-178 ◽

Author(s):

Tong Wu ◽

Ying-Jun Angela Zhang ◽

Xiaoying Tang

Keyword(s):

Online Detection

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Online Detection of Driver Fatigue Based on Reaction Time: Designing a Monitoring and Early-Warning System

10.1061/9780784482933.305 ◽

2020 ◽

Author(s):

Mengzhu Guo ◽

Shiwu Li

Keyword(s):

Reaction Time ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Online Detection ◽

Driver Fatigue ◽

Monitoring And Early Warning

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A Study on Online Detection of micro-blog Rumors Based on Naive Bayes Algorithm

2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) ◽

10.1109/ipec49694.2020.9115171 ◽

2020 ◽

Author(s):

Gan Wenfeng ◽

Zhang Hong ◽

Cheng Ruoyi

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Online Detection ◽

Bayes Algorithm

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A new deep domain adaptation method with joint adversarial training for online detection of bearing early fault

ISA Transactions ◽

10.1016/j.isatra.2021.04.026 ◽

2021 ◽

Author(s):

Wentao Mao ◽

Ling Ding ◽

Yamin Liu ◽

Sajad Saraygord Afshari ◽

Xihui Liang

Keyword(s):

Domain Adaptation ◽

Online Detection ◽

Adversarial Training ◽

Adaptation Method

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Smart Sensor for Online Detection of Multiple-Combined Faults in VSD-Fed Induction Motors

Sensors ◽

10.3390/s120911989 ◽

2012 ◽

Vol 12 (9) ◽

pp. 11989-12005 ◽

Author(s):

Armando G. Garcia-Ramirez ◽

Roque A. Osornio-Rios ◽

David Granados-Lieberman ◽

Arturo Garcia-Perez ◽

Rene J. Romero-Troncoso

Keyword(s):

Induction Motors ◽

Smart Sensor ◽

Online Detection

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Robust online detection of pipeline corrosion from range data

Machine Vision and Applications ◽

10.1007/s001380050147 ◽

2001 ◽

Vol 12 (6) ◽

pp. 291-304 ◽

Author(s):

Kim L. Boyer ◽

Tolga Ozguner

Keyword(s):

Online Detection ◽

Pipeline Corrosion

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Parameter identification strategy for online detection of faults in smart structures for energy harvesting and sensing

Procedia Structural Integrity ◽

10.1016/j.prostr.2020.11.036 ◽

2020 ◽

Vol 28 ◽

pp. 2104-2109

Author(s):

Claudio Maruccio ◽

Pasquale Montegiglio ◽

Adnan Kefal

Keyword(s):

Energy Harvesting ◽

Parameter Identification ◽

Smart Structures ◽

Online Detection ◽

Identification Strategy

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Remix: online detection and repair of cache contention for the JVM

Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation - PLDI 2016 ◽

10.1145/2908080.2908090 ◽

2016 ◽

Author(s):

Ariel Eizenberg ◽

Shiliang Hu ◽

Gilles Pokam ◽

Joseph Devietti

Keyword(s):

Online Detection ◽

Cache Contention

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Thermal Models for Online Detection of Pulp Obstructing the Cooling System of TEFC Induction Motors in Pulp Area

IEEE Transactions on Industry Applications ◽

10.1109/tia.2010.2102328 ◽

2011 ◽

Vol 47 (2) ◽

pp. 719-729

Author(s):

M. An Valenzuela ◽

Guillermo Ramirez

Keyword(s):

Induction Motors ◽

Cooling System ◽

Online Detection ◽

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Online Detection and Classification of Disasters by a Multiple-input/single-output Sensor for a Home Security System

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.1716525 ◽

2006 ◽

Author(s):

T. Ishigaki ◽

T. Higuchi ◽

K. Watanabe

Keyword(s):

Security System ◽

Online Detection ◽

Home Security ◽

Single Output ◽

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Non-Contact Online Detection of Concentricity Error

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.733.611 ◽

2015 ◽

Vol 733 ◽

pp. 611-614

Author(s):

Hong Zheng

Keyword(s):

Measurement System ◽

Three Dimensional ◽

Error Evaluation ◽

Dimensional Model ◽

Online Detection ◽

Three Dimensional Model ◽

Geometric Tolerance ◽

Structural Principle ◽

Circularity Error ◽

Cylindricity Error

This paper researches on the non-contact online detection of concentricity error, which mainly focus on the structural principle of the measurement system and the concentricity error evaluation methods. The paper using the method of projection, converting the three-dimensional model to a two-dimensional model and evaluating coaxially error. And it is validated by the simulation of MATLAB. In theory, the proposed measurement system can measure geometric tolerance, including coaxially error, cylindricity error, circularity error, etc.

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