This chapter is dedicated to an overview of prognostics methods for gear health management. By noticing that most prognostic methods are application dependent and new methods keep emerging, this study is necessary for providing the latest status of prognostics capability specific to gears. The reviewed frameworks and/or methods are grouped into data-driven, physics-based and integrated ones. Their respective merits and drawbacks are outlined. The opportunities and challenges are also discussed for future research.
CITATION STYLE
Zhao, F., Tian, Z., & Zeng, Y. (2017). Overview on gear health prognostics. In Probabilistic Prognostics and Health Management of Energy Systems (pp. 49–65). Springer International Publishing. https://doi.org/10.1007/978-3-319-55852-3_4
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