Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods

L. Gelman; I. Petrunin

Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A novel anomaly detection technique based on the k-nearest neighbours method with the sequential majority rule is proposed, developed and validated for damage diagnosis.

Original language	English
Title of host publication	8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011
Subtitle of host publication	CM 2011/MFPT 2011
Publisher	British Institute of Non-Destructive Testing
Pages	1005-1012
Number of pages	8
Volume	1
ISBN (Print)	9781618390141
Publication status	Published - 2011
Externally published	Yes
Event	8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Cardiff, United Kingdom Duration: 20 Jun 2011 → 22 Jun 2011 Conference number: 8

Conference

Conference	8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated title	CM/MFPT 2011
Country/Territory	United Kingdom
City	Cardiff
Period	20/06/11 → 22/06/11

Cite this

@inproceedings{9b16db24f3f94a3890f7ceceb523bd5a,

title = "Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods",

abstract = "A novel anomaly detection technique based on the k-nearest neighbours method with the sequential majority rule is proposed, developed and validated for damage diagnosis.",

keywords = "Rotating machines, condition mointoring, Failure Analysis",

author = "L. Gelman and I. Petrunin",

year = "2011",

language = "English",

isbn = "9781618390141",

volume = "1",

pages = "1005--1012",

booktitle = "8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011",

publisher = "British Institute of Non-Destructive Testing",

address = "United Kingdom",

note = "8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM/MFPT 2011 ; Conference date: 20-06-2011 Through 22-06-2011",

}

Gelman, L & Petrunin, I 2011, Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods. in 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011: CM 2011/MFPT 2011. vol. 1, British Institute of Non-Destructive Testing, pp. 1005-1012, 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Cardiff, United Kingdom, 20/06/11.

Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods. / Gelman, L.; Petrunin, I.

8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011: CM 2011/MFPT 2011. Vol. 1 British Institute of Non-Destructive Testing, 2011. p. 1005-1012.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods

AU - Gelman, L.

AU - Petrunin, I.

N1 - Conference code: 8

PY - 2011

Y1 - 2011

N2 - A novel anomaly detection technique based on the k-nearest neighbours method with the sequential majority rule is proposed, developed and validated for damage diagnosis.

AB - A novel anomaly detection technique based on the k-nearest neighbours method with the sequential majority rule is proposed, developed and validated for damage diagnosis.

KW - Rotating machines

KW - condition mointoring

KW - Failure Analysis

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UR - https://www.bindt.org/shopbindt/cd-roms/proceedings-of-cm-mfpt-2011.html#.XkUgU2j7S71

UR - http://www.proceedings.com/12148.html

M3 - Conference contribution

AN - SCOPUS:84905740011

SN - 9781618390141

VL - 1

SP - 1005

EP - 1012

BT - 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011

PB - British Institute of Non-Destructive Testing

T2 - 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies

Y2 - 20 June 2011 through 22 June 2011

ER -

Novel Anomaly Detection Based on the nearest Neighbours and Sequential Methods

Abstract

Conference

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