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PRONOSTIA : An experimental platform for bearings accelerated degradation tests.
This paper deals with the presentation of an experimental platform called PRONOSTIA, which enables testing, verifying and validating methods related to bearing health assessment, diagnostic andExpand
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Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
The detection, diagnostic, and prognostic of bearing degradation play a key role in increasing the reliability and safety of electrical machines, especially in key industrial sectors. This paperExpand
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Remaining Useful Life Estimation of Critical Components With Application to Bearings
Prognostics activity deals with the estimation of the Remaining Useful Life (RUL) of physical systems based on their current health state and their future operating conditions. RUL estimation can beExpand
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A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models
This paper addresses a data-driven prognostics method for the estimation of the Remaining Useful Life (RUL) and the associated confidence value of bearings. The proposed method is based on theExpand
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Health assessment and life prediction of cutting tools based on support vector regression
The integrity of machining tools is important to maintain a high level of surface quality. The wear of the tool can lead to poor surface quality of the workpiece and even to damage of the machine.Expand
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Direct Remaining Useful Life Estimation Based on Support Vector Regression
Prognostics is a major activity in the field of prognostics and health management. It aims at increasing the reliability and safety of systems while reducing the maintenance cost by providing anExpand
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Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics
The performance of data-driven prognostics approaches is closely dependent on the form and trend of extracted features. Indeed, features that clearly reflect the machine degradation should lead toExpand
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Review of prognostic problem in condition-based maintenance
Prognostic is nowadays recognized as a key feature in maintenance strategies as it should allow avoiding inopportune maintenance spending. Real prognostic systems are however scarce in industry. ThatExpand
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Prognostics of PEM fuel cell in a particle filtering framework
Abstract Proton Exchange Membrane Fuel Cells (PEMFC) suffer from a limited lifespan, which impedes their uses at a large scale. From this point of view, prognostics appears to be a promising activityExpand
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PROTEUS - Creating distributed maintenance systems through an integration platform
This paper is based on the results from the project PROTEUS sponsored by the French Ministry of Economy, Finance and Industry and the Federal Ministry of Education and Research of Germany under theExpand
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