期刊
IEEE TRANSACTIONS ON RELIABILITY
卷 62, 期 1, 页码 136-145出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2013.2241204
关键词
Hard disk drive; Mahalanobis distance, online anomaly detection, self-monitoring, analysis, and reporting technology
类别
资金
- Research Grants Council of the Hong Kong Special Administrative Region, China [CityU8/CRF/09]
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.
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