A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives

Yu, Wenbin; Eden, W. M.; Chow, Tommy W. S.; Tsui, Kwok Leung

doi:10.1109/tii.2013.2264060

Cited by 85 publications

(23 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the publications (e.g. [21]) several possible indicators forming CBM inputs have been identified. They are as follows:…”

Section: Motivation Problem and Datamentioning

confidence: 99%

“…[18][19][20][21] -there is a lot of information about failure occurrence especially with relation to the field data and condition based maintenance as such. Therefore we take into account and choose some most recent inspirational sources which address failure occurrence estimation, Mean Residual Life (MRL) estimation based on data mining, modelling and various approaches.…”

Section: State-of-the-art/literature Survey On Failure Occurrencementioning

confidence: 99%

“…The monitoring data are input into the MWPHM to estimate the system reliability and predict the system failure time. The article [21] presents a two-step parametric method which was developed to predict the impending failure of HDDs using the aggregate of statistical models. This method deals with the problem of failure prediction made in two steps: detecting anomaly and predicting failure.…”

Section: State-of-the-art/literature Survey On Failure Occurrencementioning

confidence: 99%

See 2 more Smart Citations

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Vališ

Žák

Pokora

2015

Engineering Failure Analysis

View full text Add to dashboard Cite

“…In the publications (e.g. [21]) several possible indicators forming CBM inputs have been identified. They are as follows:…”

Section: Motivation Problem and Datamentioning

confidence: 99%

Section: State-of-the-art/literature Survey On Failure Occurrencementioning

confidence: 99%

Section: State-of-the-art/literature Survey On Failure Occurrencementioning

confidence: 99%

See 1 more Smart Citation

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Vališ

Žák

Pokora

2015

Engineering Failure Analysis

View full text Add to dashboard Cite

“…It performs categorization by the establishment of the hyperplane described by the weight vector w and the error term [18,19,20], as shown in Fig. 1.…”

Section: A．support Vector Machinementioning

confidence: 99%

A new feature selection method in fishery information processing

2014

2014 10th International Conference on Natural Computation (ICNC)

View full text Add to dashboard Cite

Fishery information processing can help fishery researchers obtain the needed information easily and quickly. The current information processing techniques have not solved the problem of high dimensional features in fishery information processing. In this paper, a feature selection method for fishery texts based on SVM-RFE was put forward in view of the characteristics of fishery texts. It removed the redundant information in text feature space and reduced the feature dimensions effectively. Three corpora were employed to verify the proposed method and the comparison with the traditional feature selection method was performed. The experimental results show that the method proposed in this paper can improve precision rate and recall rate of fishery information processing with the lower dimensional features, providing an effective way for fishery information processing.

show abstract

“…Degradation due to mechanical deformation and the concomitant dysfunctioning of man-made systems is a major cause of concern in numerous technological fields ( 1 , 2 ). Extensive efforts have been devoted to addressing this issue by developing new stretchable and tough materials that can withstand mechanical deformations and thus augment the life span of devices ( 3 , 4 ).…”

Section: Introductionmentioning

confidence: 99%