A prognostics and health management roadmap for information and electronics-rich systems

By Michael G. Pecht, Rubyca Jaai. Microelectronics and reliability, 2010

389 citations recorded by the source corpus.

How researchers see this paper

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An Overview of Artificial Intelligence Applications for Power Electronics (2020, methodology): “In [21], the methods in prognostics and health management (PHM) of information and electronics-rich systems are summarized.”
A review on prognostics and health monitoring of proton exchange membrane fuel cell (2017, background): “performance will not be changed until fault occurs [41].”
Remaining useful life estimation - A review on the statistical data driven approaches (2011, background): “RUL estimation is one of the key factors in condition based maintenance (CBM) (Cui et al., 2004; Lee et al., 2006; Wang, 2007a,b; Wang and Zhang, 2008), and prognostics and health management (Dong and He, 2007a; Pecht, 2008; Pecht and Jaai, 2010; Gašperin et al., 2011).”
A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life (2021, methodology): “An adaptive recurrent neural network (RNN) RUL prediction method for LIB impedance spectrum data was proposed in [21].”
An overview of time-based and condition-based maintenance in industrial application (2012, background): “For the others references regarding the RUL estimation, refer to Lee et al. (2006), Wang (2007), Wang and Zhang (2008a, 2008b), Pecht and Jaai (2010), Gašperin, Juričic´, Baškoski, and Jožef (2011).”