Abstract
Health condition monitoring has developed over several years. However, in the area of health assessment algorithms, most of the research has focused on data-driven approaches that do not rely on the knowledge of the physics of the system, while physics-based model...
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CITATION STYLE
APA
Cubillo, A., Perinpanayagam, S., Rodriguez, M., Collantes, I., & Vermeulen, J. (2016). Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission. In Machine Learning for Cyber Physical Systems (pp. 33–44). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-48838-6_5
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