Racha Khelif
IEEE transactions on industrial electronics (1982. Print) · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Racha Khelif trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Enrico Zio
- Abdenour Soualhi
- Meru A. Patil
- Kamal Medjaher
- Francesco Di Maio
- Vladimir Naumovich Vapni
Who trusts Racha Khelif overall
Papers from Racha Khelif's perspective
Ordered by how strongly the researchers Racha Khelif trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- LIBSVM: A library for support vector machines
- Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter
- Residual life predictions from vibration-based degradation signals: a neural network approach (IEEE transactions on industrial electronics (1982. Print))
- Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression (IEEE Transactions on Instrumentation and Measurement)
- Intelligent Particle Filter and Its Application to Fault Detection of Nonlinear System (IEEE transactions on industrial electronics (1982. Print))
- Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
- Physically based diagnosis and prognosis of cracked rotor shafts (SPIE Defense + Commercial Sensing)
- A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system (Reliability Engineering & System Safety)
Their papers
- Direct Remaining Useful Life Estimation Based on Support Vector Regression (2017) — 379 citations