19 citations · 45 across the 4 of their papers we have counts for
4 papers
Detection and Isolation of Wheelset Intermittent Over-creeps for Electric Multiple Units Based on a Weighted Moving Average Technique
Yinghong Zhao, Xiao He, Donghua Zhou +1
Wheelset intermittent over-creeps (WIOs), i.e., slips or slides, can decrease the overall traction and braking performance of Electric Multiple Units (EMUs). However, they are diff…
Detection and Detectability of Intermittent Faults Based on Moving Average T2 Control Charts with Multiple Window Lengths
Yinghong Zhao, Xiao He, Michael G. Pecht +2
So far, problems of intermittent fault (IF) detection and detectability have not been fully investigated in the multivariate statistics framework. The characteristics of IFs are sm…
An Explainable Deep Learning-based Prognostic Model for Rotating Machinery
Namkyoung Lee, Michael H. Azarian, Michael G. Pecht
This paper develops an explainable deep learning model that estimates the remaining useful lives of rotating machinery. The model extracts high-level features from Fourier transfor…
Enabling electronic prognostics using thermal data
N. Vchare, M. Pecht
Prognostics is a process of assessing the extent of deviation or degradation of a product from its expected normal operating condition, and then, based on continuous monitoring, pr…