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Metrics for Evaluating Performance of Prognostics Techniques

by Abhinav Saxena, Jose Celaya, Edward Balaban, Kai Goebel, Bhaskar Saha, Sankalita Saha, Mark Schwabacher - in International Conference on Prognostics and Health Management (PHM08 , 2008
"... Abstract—Prognostics is an emerging concept in condition based maintenance (CBM) of critical systems. Along with developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the technology calls for fielded applications as it inches towards maturation. This requires ..."
Abstract - Cited by 25 (13 self) - Add to MetaCart
a stringent performance evaluation so that the significance of the concept can be fully exploited. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. This lack of standards is in part due to the varied end-user requirements

Vascular endothelial growth factor is essential for corpus luteum angiogenesis. Nat Med 4

by Daye Cheng, Bin Liang, Yunhui Li , 1998
"... VEGF-C is regarded as one of the most efficient factors in regulating lymphangiogenesis. The aim of this study was to better understand the role of VEGF-C in the progression of ovarian cancer and to assess its diagnostic and prognostic significance. A total of 109 patients with ovarian cancer, 76 pa ..."
Abstract - Cited by 87 (3 self) - Add to MetaCart
. These results indicated that serum VEGF-C may be a clinically useful indicator for diagnostic and prognostic evaluation in ovarian cancer patients.

Feature Evaluation for Effective Bearing Prognostics

by F. Camci A, K. Medjaher B, N. Zerhouni B, P. Nectoux B , 2013
"... Abstract – Rolling element bearing failure is one of the foremost causes of breakdown in rotating machinery. It is not uncommon to replace a defected/used bearing with a new one that has shorter remaining useful life than the defected one. Thus, prognostics of bearing plays critical role for increas ..."
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studied thoroughly. However, evaluation of the quality of features for prognostics is a relatively new problem. This paper presents an evaluation method for the goodness of the features for prognostics and presents results on bearings run until failure in a lab environment. I.

Classification of Offenders for Prognostic and Dispositional Evaluation

by M.D Eugene Revitch
"... ..."
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Abstract not found

Aim of the Study: To evaluate different prognostic

by Alaa A. Mokhtar, M. D. Medhat, M. El-sebaie, Naser Elkum, Ph. D , 1975
"... ..."
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Abstract not found

Evaluating Algorithm Performance Metrics Tailored for Prognostics

by Abhinav Saxena, José Celaya, Bhaskar Saha, Sankalita Saha, Kai Goebel
"... Abstract—Prognostics has taken center stage in Condition Based Maintenance (CBM) where it is desired to estimate Remaining Useful Life (RUL) of the system so that remedial measures may be taken in advance to avoid catastrophic events or unwanted downtimes. Validation of such predictions is an import ..."
Abstract - Cited by 10 (3 self) - Add to MetaCart
is an important but difficult proposition and a lack of appropriate evaluation methods renders prognostics meaningless. Evaluation methods currently used in the research community are not standardized and in many cases do not sufficiently assess key performance aspects expected out of a prognostics algorithm

Feature extraction and evaluation for health assessment and failure prognostics

by K. Medjaher, F. Camci, N. Zerhouni - in European Conference of the Prognostics and Health Management Society , 2012
"... Abstract- The estimation of Remaining Useful Life (RUL) of industrial equipments can be realized on their most critical components. Based on this assumption, the identified critical component must be monitored to track its health state during its operation. Then, the acquired data are processed to e ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
to extract relevant features, which are used for RUL estimation. This paper presents an evaluation method for the goodness of the features, extracted from raw monitoring signals, for health assessment and prognostics of critical industrial com-ponents. The evaluation method is applied to several simu

Are Current Prognostic Performance Evaluation Practices Sufficient and Meaningful?

by Shankar Sankararaman, Abhinav Saxena, Kai Goebel
"... This paper investigates the shortcomings of performance evaluation for prognostic algorithms, particularly in the pres-ence of uncertainty. To that end, the various elements of a prognostic algorithm (present health state estimation, future load condition, degradation model, and damage threshold) an ..."
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This paper investigates the shortcomings of performance evaluation for prognostic algorithms, particularly in the pres-ence of uncertainty. To that end, the various elements of a prognostic algorithm (present health state estimation, future load condition, degradation model, and damage threshold

Prognostic Factors in the Evaluation of Metastatic Breast Cancer

by unknown authors
"... Abstract:- Breast cancer continues to be a major cause of morbidity and mortality in women worldwide, one of the most frequent neoplasia in female. The evaluation of prognostic factors and the follow-up of metastases are major research areas that enable cancer patients to have maximum therapeutic be ..."
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Abstract:- Breast cancer continues to be a major cause of morbidity and mortality in women worldwide, one of the most frequent neoplasia in female. The evaluation of prognostic factors and the follow-up of metastases are major research areas that enable cancer patients to have maximum therapeutic

Statistical evaluation of prognostic versus diagnostic models: Beyond the ROC curve

by Nancy R. Cook - Clinical Chemistry , 2008
"... models serve different purposes. Whereas diagnostic models are usually used for classification, prognostic models incorporate the dimension of time, adding a stochastic element. CONTENT: The ROC curve is typically used to evaluate clinical utility for both diagnostic and prognostic models. This curv ..."
Abstract - Cited by 14 (0 self) - Add to MetaCart
models serve different purposes. Whereas diagnostic models are usually used for classification, prognostic models incorporate the dimension of time, adding a stochastic element. CONTENT: The ROC curve is typically used to evaluate clinical utility for both diagnostic and prognostic models
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