TY - JOUR
T1 - Online anomaly detection for hard disk drives based on mahalanobis distance
AU - Wang, Yu
AU - Miao, Qiang
AU - Ma, Eden W. M.
AU - Tsui, Kwok-Leung
AU - Pecht, Michael G.
PY - 2013/3
Y1 - 2013/3
N2 - A hard disk drive (HDD) failure may cause serious data loss and catastrophic consequences. Online health monitoring provides information about the degradation trend of the HDD, and hence the early warning of failures, which gives us a chance to save the data. This paper developed an approach for HDD anomaly detection using Mahalanobis distance (MD). Critical parameters were selected using failure modes, mechanisms, and effects analysis (FMMEA), and the minimum redundancy maximum relevance (mRMR) method. A self-monitoring, analysis, and reporting technology (SMART) data set is used to evaluate the performance of the developed approach. The result shows that about 67% of the anomalies of failed drives can be detected with zero false alarm rate, and most of them can provide users with at least 20 hours during which to backup the data. © 1963-2012 IEEE.
AB - A hard disk drive (HDD) failure may cause serious data loss and catastrophic consequences. Online health monitoring provides information about the degradation trend of the HDD, and hence the early warning of failures, which gives us a chance to save the data. This paper developed an approach for HDD anomaly detection using Mahalanobis distance (MD). Critical parameters were selected using failure modes, mechanisms, and effects analysis (FMMEA), and the minimum redundancy maximum relevance (mRMR) method. A self-monitoring, analysis, and reporting technology (SMART) data set is used to evaluate the performance of the developed approach. The result shows that about 67% of the anomalies of failed drives can be detected with zero false alarm rate, and most of them can provide users with at least 20 hours during which to backup the data. © 1963-2012 IEEE.
KW - Hard disk drive
KW - Mahalanobis distance
KW - online anomaly detection
KW - self-monitoring, analysis, and reporting technology
UR - http://www.scopus.com/inward/record.url?scp=84874976702&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84874976702&origin=recordpage
U2 - 10.1109/TR.2013.2241204
DO - 10.1109/TR.2013.2241204
M3 - RGC 21 - Publication in refereed journal
SN - 0018-9529
VL - 62
SP - 136
EP - 145
JO - IEEE Transactions on Reliability
JF - IEEE Transactions on Reliability
IS - 1
M1 - 6423861
ER -