Prognosis of machine health condition using neuro-fuzzy systems

By Wilson Q. Wang, M. Farid Golnaraghi, F. Ismail. 2004

359 citations recorded by the source corpus.

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Remaining Useful Life Estimation of Critical Components With Application to Bearings (2012, background): “Several definitions related to prognostics have been reported in the literature [1], [5], [6].”
Cloud-enabled prognosis for manufacturing (2015, background): “Wang et al. [86] adopted a neuro-fuzzy (NF) system to develop an on-line machine fault prognosis system; a typical NF structure is shown in Fig.”
A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system (2010, methodology): “For prognostic tasks, the most promising methods are Recurrent Neural Networks (RNNs) [Campolucci et al., 1999] and Neuro-Fuzzy (NF) systems [Wang et al., 2004].”
A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models (2012, methodology): “[6] have proposed a neuro-fuzzy based prognostics method to predict the future health state of a pinion.”
Machinery health prognostics: A systematic review from data acquisition to RUL prediction (2018, methodology): “[329] adopted the NF system to develop an online prognostic approach for different kinds of gear faults.”