Selection Process

The best paper nominees were recommended by reviewers, review manager, or associate review directors based on review scores and comments. Then, these papers were reviewed by the best paper selection committee in a double blind manner (names and affiliations of the authors were removed from manuscripts). The papers were scored for a set of criteria such as Content, Significance, Technical validity, Innovation, Writing style, Accuracy, Clarity, Simplicity, and Readability. The scores from reviewers were aggregated to get the final score and the paper that scored highest in each category is selected as the best paper.

Category: Application Paper

• Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions
  – Chetan S. Kulkarni, Jose R. Celaya, Kai Goebel, and Gautam Biswas
• Integrated fatigue damage diagnosis and prognosis under uncertainties
  – Tishun Peng, Jingjing He, Yongming Liu, Abhinav Saxena, Jose Celaya, and Kai Goebel
• Application of Inductive Monitoring System to Plug Load AnomalyDetection
  – Christopher Teubert and Scott Poll

Category: Theory Paper

• Condition-based maintenance with both perfect and imperfect maintenance actions
  – Phuc DO VAN, Alexandre VOISIN, Eric LEVRAT and Benoit IUNG
• Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation
  – Jose R. Celaya, Abhinav Saxena, and Kai Goebel

Category: Industry Paper

• Condition Monitoring Experience on a Wind Turbine
  – Eric Bechhoefer, Mathew Wadham-Gagnon, and Bruno Boucher
• A Cost-Benefit Approach to Evaluating Engine Health Monitoring Systems
  – Grant Gordon, Chris Hickenbottom, and Dinkar Mylaraswamy

Best Paper Selection Committee

• Byoung Uk Kim (Chair)
• Bhaskar Saha
• Weizhong Yan
• Marcos Orchard
• Chunsheng Yang
• Kyusung Kim
• Upendranath Vanam