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Li, R. (author), Verhagen, W.J.C. (author), Curran, R. (author)
Remaining useful life (RUL) prediction is crucial for the implementation of Prognostics and Health Management (PHM) systems, enabling application of predictive maintenance strategies for critical systems (e.g. in aviation, power, railway). Existing literature addresses aspects of data-driven prognostic approaches, with a predominant focus on...
conference paper 2019
document
Li, R. (author), Verhagen, W.J.C. (author), Curran, R. (author)
Prognostic and Health Management (PHM) describes a set of capabilities that enable effective and efficient approaches towards data analysis for fault diagnostics and failure prognostics. This can support decision making related to health management, sustainment and operation of critical systems, such as aviation systems. As a result of the...
conference paper 2018
document
Li, B. (author), Verhagen, A.A. (author), Teunissen, P.J.G. (author)
Successful integer carrier-phase ambiguity resolution is crucial for high precision GNSS applications. It includes both integer estimation and evaluation. For integer estimation, the LAMBDA method has been applied in a wide variety of GNSS applications. The method’s popularity stems from its numerical efficien-cy and statistical optimality....
conference paper 2013
document
Verhagen, A.A. (author), Teunissen, P.J.G. (author), Van der Marel, H. (author), Li, B. (author)
A key issue with GNSS carrier phase ambiguity resolution is that often the full set of ambiguities cannot be fixed fast and reliably. A possible strategy is then to resolve only a subset of ambiguities, one for which the probability of correct fixing, the so-called success rate, is sufficiently close to 1. However, a proper subset selection...
conference paper 2011
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