Kai Goebel

Automotive Engineering · 2007–2012

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 11 citations into it; #436 of 3,081 by trust here, #773 by citations
• Electrical and Electronic Engineering — 11 citations into it
• Statistical Learning Theory — 8 citations into it

Whom Kai Goebel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vladimir Naumovich Vapnik
2. Harris Drucker
3. Neil J. Gordon
4. Bhaskar Saha
5. M. Sanjeev Arulampalam
6. Lijun Gao
7. C. Burges

Who trusts Kai Goebel overall

1. Michael G. Pecht
2. Chao Hu
3. Lei Ren
4. Claudio Sbarufatti
5. Kailong Liu
6. Shengjing Tang
7. Z. Ye
8. Yinjiao Xing
9. D. Roman
10. Yi Li

Papers from Kai Goebel's perspective

Ordered by how strongly the researchers Kai Goebel trusts endorse each paper. Same corpus, a different order for every researcher.

1. A training algorithm for optimal margin classifiers
2. The Nature of Statistical Learning
3. Impedance measurements on lead–acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles
4. A and V
5. Time series analysis, forecasting and control
6. Time Series Analysis: Forecasting and Control
7. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
8. An integrated approach to battery health monitoring using bayesian regression and state estimation (2007 IEEE Autotestcon)
9. Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles (IEEE Transactions on Vehicular Technology)
10. Dynamic lithium-ion battery model for system simulation

Their papers

• Comparison of prognostic algorithms for estimating remaining useful life of batteries (2009) — 432 citations
• Uncertainty Representation and Interpretation in Model-Based Prognostics Algorithms Based on Kalman Filter Estimation (2012) — 54 citations
• Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (2009) — 769 citations
• Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework (2009) — 376 citations
• An integrated approach to battery health monitoring using bayesian regression and state estimation (2007) — 184 citations