… In this study, we aim at building an intelligent weak fault diagnosis framework that can
diagnose a rolling bearing under a noisy environment. Generally, the proposed method has two …

… So it is necessary and significant to identify the fault type and evaluate the fault level as
early as possible, especially on weak fault diagnosis and compound fault diagnosis in rotating …

… The classical PLL method and framework for weak–fault diagnosis based on deep residual
… model for weak–fault diagnosis was built based on a deep residual network. To mine fault–…

… To address the time-consuming learning of deep network and develop a new method for
incipient bearing fault diagnosis, this paper proposes a connection network constructed by …

… demodulation and to diagnose localized gear tooth faults under real-time speed variation.
In the present study, the vibration signals of a gearbox for different faults were acquired under …

… Both numerical simulation and actual fault signal experiments showed that the proposed
method could effectively and accurately extract the weak fault features of rolling element …

… In this article, a method for weak fault diagnosis using MED and envelop analysis is
explored. MED filter is applied to the original signal to enhance the impulse. When there is a …

… weak fault diagnosis example on deep groove ball bearings demonstrates the advantage of
the weak fault diagnosis … Therefore, the difficulty in weak fault diagnosis focuses on how to …

… SR weak fault diagnosis method and applied to the diagnosis of early bearing faults. …
underdamped stochastic resonance (CPUSR) weak fault diagnosis method based on multi-…

… for the feature extraction of weak signals under strong background noise. In order … weak
fault, MED is employed as the pre-filter to remove noise. This method is applied to the weak fault …