Novelty Detection Approach for Keystroke Dynamics Identity Verification

2003 ◽  
pp. 1016-1023 ◽  
Author(s):  
Enzhe Yu ◽  
Sungzoon Cho
Keyword(s):  
Novelty Detection ◽  
Keystroke Dynamics ◽  
Identity Verification ◽  
Detection Approach

scholarly journals Comparison of Novelty Detection Methods for Detection of Various Rotary Machinery Faults

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3536
Author(s):  
Jakub Górski ◽  
Adam Jabłoński ◽  
Mateusz Heesch ◽  
Michał Dziendzikowski ◽  
Ziemowit Dworakowski
Keyword(s):  
Novelty Detection ◽  
Feature Space ◽  
Detection Methods ◽  
Data Sets ◽  
Similar Distribution ◽  
Detection Algorithms ◽  
Rotary Machinery ◽  
Detection Approach ◽  
Input Reconstruction ◽  
Quantitative Indicators

Condition monitoring is an indispensable element related to the operation of rotating machinery. In this article, the monitoring system for the parallel gearbox was proposed. The novelty detection approach is used to develop the condition assessment support system, which requires data collection for a healthy structure. The measured signals were processed to extract quantitative indicators sensitive to the type of damage occurring in this type of structure. The indicator’s values were used for the development of four different novelty detection algorithms. Presented novelty detection models operate on three principles: feature space distance, probability distribution, and input reconstruction. One of the distance-based models is adaptive, adjusting to new data flowing in the form of a stream. The authors test the developed algorithms on experimental and simulation data with a similar distribution, using the training set consisting mainly of samples generated by the simulator. Presented in the article results demonstrate the effectiveness of the trained models on both data sets.

A Framework for Novelty Detection in Jet Engine Vibration Data

2007 ◽  
Vol 347 ◽  
pp. 305-310 ◽  
Author(s):  
David A. Clifton ◽  
Peter R. Bannister ◽  
Lionel Tarassenko
Keyword(s):  
Novelty Detection ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Analysis Framework ◽  
Vibration Data ◽  
Engine Vibration ◽  
Detection Approach ◽  
On Line ◽  
High Integrity ◽  
Line Analysis

A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for on- and off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-line techniques within the same analysis framework are shown to allow the tracking of single engines and fleets of engines from ground-based monitoring stations on a flight-by-flight basis. Results are validated by comparison to conventional techniques, in application to aerospace engines and other industrial high-integrity systems.

Web-Based Keystroke Dynamics Identity Verification Using Neural Network

2000 ◽  
Vol 10 (4) ◽  
pp. 295-307 ◽  
Author(s):  
Sungzoon Cho ◽  
Chigeun Han ◽  
Dae Hee Han ◽  
Hyung-Il Kim
Keyword(s):  
Neural Network ◽  
Keystroke Dynamics ◽  
Identity Verification ◽  
Web Based

Feasibility of an objective electrophysiological loudness scaling: A kernel-based novelty detection approach

2012 ◽  
Vol 55 (3) ◽  
pp. 185-195 ◽  
Author(s):  
Mai Mariam ◽  
Wolfgang Delb ◽  
Bernhard Schick ◽  
Daniel J. Strauss
Keyword(s):  
Novelty Detection ◽  
Detection Approach ◽  
Loudness Scaling
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