A fusion approach for anomaly detection in hard disk drives

Yu Wang; K. L. Tsui; Eden W. M. Ma; Michael Pecht

doi:10.1109/PHM.2012.6228814

A fusion approach for anomaly detection in hard disk drives

Yu Wang, K. L. Tsui, Eden W. M. Ma, Michael Pecht^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

As the information stored in hard disk drives (HDDs) is continuous increasing, the safety of data is become more and more important. Among the safety technologies, anomaly detection is crucial for users to prevent data loss and to backup their data. A fusion approach was proposed to monitor the HDD health status based on Mahalanobis distance (MD) and Box-Cox transformation. A quality control technique - Shewhart control chart - was introduced using the transformed MD values to detect the anomalies in HDDs. A case study was then conducted to verify the validity of the proposed approach. The results showed that the proposed approach is effective for detecting the anomalies. © 2012 IEEE.

Original language	English
Title of host publication	Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012
DOIs	https://doi.org/10.1109/PHM.2012.6228814
Publication status	Published - 2012
Event	2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 - Beijing, China Duration: 23 May 2012 → 25 May 2012

Conference

Conference	2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
Place	China
City	Beijing
Period	23/05/12 → 25/05/12

Research Keywords

anomaly prediction
Box-Cox transformation
hard disk drive
Mahalanobis distance
SMART

Access Output

10.1109/PHM.2012.6228814

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{aebff89e0cdb474dac9377c30ea36535,

title = "A fusion approach for anomaly detection in hard disk drives",

abstract = "As the information stored in hard disk drives (HDDs) is continuous increasing, the safety of data is become more and more important. Among the safety technologies, anomaly detection is crucial for users to prevent data loss and to backup their data. A fusion approach was proposed to monitor the HDD health status based on Mahalanobis distance (MD) and Box-Cox transformation. A quality control technique - Shewhart control chart - was introduced using the transformed MD values to detect the anomalies in HDDs. A case study was then conducted to verify the validity of the proposed approach. The results showed that the proposed approach is effective for detecting the anomalies. {\textcopyright} 2012 IEEE.",

keywords = "anomaly prediction, Box-Cox transformation, hard disk drive, Mahalanobis distance, SMART",

author = "Yu Wang and Tsui, {K. L.} and Ma, {Eden W. M.} and Michael Pecht",

year = "2012",

doi = "10.1109/PHM.2012.6228814",

language = "English",

booktitle = "Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012",

note = "2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 ; Conference date: 23-05-2012 Through 25-05-2012",

}

TY - GEN

T1 - A fusion approach for anomaly detection in hard disk drives

AU - Wang, Yu

AU - Tsui, K. L.

AU - Ma, Eden W. M.

AU - Pecht, Michael

PY - 2012

Y1 - 2012

N2 - As the information stored in hard disk drives (HDDs) is continuous increasing, the safety of data is become more and more important. Among the safety technologies, anomaly detection is crucial for users to prevent data loss and to backup their data. A fusion approach was proposed to monitor the HDD health status based on Mahalanobis distance (MD) and Box-Cox transformation. A quality control technique - Shewhart control chart - was introduced using the transformed MD values to detect the anomalies in HDDs. A case study was then conducted to verify the validity of the proposed approach. The results showed that the proposed approach is effective for detecting the anomalies. © 2012 IEEE.

AB - As the information stored in hard disk drives (HDDs) is continuous increasing, the safety of data is become more and more important. Among the safety technologies, anomaly detection is crucial for users to prevent data loss and to backup their data. A fusion approach was proposed to monitor the HDD health status based on Mahalanobis distance (MD) and Box-Cox transformation. A quality control technique - Shewhart control chart - was introduced using the transformed MD values to detect the anomalies in HDDs. A case study was then conducted to verify the validity of the proposed approach. The results showed that the proposed approach is effective for detecting the anomalies. © 2012 IEEE.

KW - anomaly prediction

KW - Box-Cox transformation

KW - hard disk drive

KW - Mahalanobis distance

KW - SMART

UR - http://www.scopus.com/inward/record.url?scp=84866166961&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84866166961&origin=recordpage

U2 - 10.1109/PHM.2012.6228814

DO - 10.1109/PHM.2012.6228814

M3 - RGC 32 - Refereed conference paper (with host publication)

BT - Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012

T2 - 2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012

Y2 - 23 May 2012 through 25 May 2012

ER -

A fusion approach for anomaly detection in hard disk drives

Abstract

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this