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

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

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.

Original language	English
DOIs	https://doi.org/10.1109/PHM.2012.6228814
State	Published - 2012
Externally published	Yes
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
Country/Territory	China
City	Beijing
Period	23/05/12 → 25/05/12

Keywords

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

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10.1109/PHM.2012.6228814

Cite this

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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.",

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

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

year = "2012",

doi = "10.1109/PHM.2012.6228814",

language = "英语",

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

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TY - CONF

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.

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.

KW - Box-Cox transformation

KW - Mahalanobis distance

KW - SMART

KW - anomaly prediction

KW - hard disk drive

UR - https://www.scopus.com/pages/publications/84866166961

U2 - 10.1109/PHM.2012.6228814

DO - 10.1109/PHM.2012.6228814

M3 - 论文

AN - SCOPUS:84866166961

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

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Keywords

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