A method for false alarm recognition considering threshold

A new approach to false alarm recognition is proposed. The described method divides the state of a system into three types: normal, false-alarm, and faulty, and analyzes the overlapping relations of the distribution functions of different states to determine the optimal thresholds. After a brief introduction to support vector machine (SVM), the proposed strategy based on the results using thresholds is explained. The presented evolutionary approach is illustrated by a fault injection system. The accuracy of the technique is compared with the conventional and other intelligent methods, and the obtained results are discussed.

[1]  C.S. Byington,et al.  False Alarm Mitigation of Vibration Diagnostic Systems , 2008, 2008 IEEE Aerospace Conference.

[2]  Mahdi H. Al-Badrawi,et al.  An EMD-Based Double Threshold Detector for Spectrum Sensing in Cognitive Radio Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[3]  Junyou Shi,et al.  Intermittent failure process and false alarm interaction modelling of threshold-based monitoring built-in tests (BITs) , 2016 .

[4]  P. J. Griffin,et al.  An Artificial Neural Network Approach to Transformer Fault Diagnosis , 1996, IEEE Power Engineering Review.

[5]  S. Sorooshian,et al.  An Artificial Neural Network Model to Reduce False Alarms in Satellite Precipitation Products Using MODIS andCloudSatObservations , 2013 .

[6]  Zhou Dong,et al.  A Survey on Anomaly Detection, Life Prediction and Maintenance Decision for Industrial Processes , 2013 .

[7]  Jan Lunze,et al.  Qualitative model based fault diagnosis using a threshold level , 2010 .

[8]  Gidudu Anthony,et al.  Image Classification Using SVMs: One-against-One Vs One-against-All , 2007, ArXiv.

[9]  Ning Ma,et al.  False Alarm Reduction by LS-SVM for Manmade Object Detection from Sidescan Sonar Images , 2007, OCEANS 2007 - Europe.

[10]  Geir W Jacobsen,et al.  False alarm. , 2017, Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke.

[11]  Iman Izadi,et al.  Optimal Alarm Signal Processing: Filter Design and Performance Analysis , 2013, IEEE Transactions on Automation Science and Engineering.

[12]  K. Westervelt.  F/A-18D(RC) built-in-test false alarms , 2002, Proceedings, IEEE Aerospace Conference.

[13]  Tshilidzi Marwala,et al.  Image Classification Using SVMs: One-against-One Vs One-against-All , 2007, ArXiv.

[14]  John G Malcolm,et al.  Analysis of Built-in-Test (BIT) False Alarm Conditions , 1981 .

[15]  D. Rosenthal,et al.  Predicting and eliminating built-in test false alarms , 1990 .

[16]  Ali Hashemi.  Model-based system fault diagnosis utilizing adaptive threshold with application to automotive electrical systems , 2011 .

[17]  Don Croke,et al.  Designing to MIL-STD-2165: Testability , 1987, IEEE Aerospace and Electronic Systems Magazine.

[18]  Wenjuan Li,et al.  Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection , 2015, Secur. Commun. Networks.

[19]  D.W. Richards.  Smart BIT: a plan for intelligent built-in test , 1989, IEEE Aerospace and Electronic Systems Magazine.

[20]  Francisco Herrera,et al.  An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes , 2011, Pattern Recognit..

[21]  Peng Zhang,et al.  The Improved Research of Fault Diagnosis Algorithm in Intelligent BIT Design , 2011, 2011 International Conference of Information Technology, Computer Engineering and Management Sciences.

[22]  M. Hossein Ahmadzadegan,et al.  Low-rate false alarm intrustion detection system with genetic algorithm approach , 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI).

[23]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[24]  Xue Jia,et al.  Research on the Radar Intelligent BIT Testability Maturity Based on Multi-agent Software Engineering Algorithm , 2009, 2009 WRI World Congress on Software Engineering.

[25]  Abhijit Chatterjee,et al.  Design for testability and built-in self-test of mixed-signal circuits: a tutorial , 1997, Proceedings Tenth International Conference on VLSI Design.

[26]  Xiao-Sheng Si,et al.  A Survey on Anomaly Detection, Life Prediction and Maintenance Decision for Industrial Processes: A Survey on Anomaly Detection, Life Prediction and Maintenance Decision for Industrial Processes , 2014 .