This subject, called data augmentation, is very recent and, for vibration signals, two approaches are found in the literature: the utilization of signal ...
Read Data Augmentation for Vibration Signals using System Identification Techniques.
Data augmentation is a beneficial method for enlarging the training dataset by implementing diverse alterations to the current data. Many earlier techniques for ...
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In this paper, we introduce a method of using the generative adversarial network as the fault signal augmentation method to enrich the dataset. The enhanced ...
Nov 15, 2021 · This method aims to extract latent fault features from unlabeled vibration signals, thereby improving diagnostic performance under limited ...
Sep 27, 2023 · We propose a TSG data augmentation method based on Time Series Transfer and StyleGAN. The augmented data is enhanced for diversity and ...
The former approach entails identifying faults by extracting fault features from vibration signals. For example, Ni et al. [5] proposed a new signal processing ...
The major methods used in this experiment were to convert vibration signals to images and apply a ... Fault detection and diagnosis methods for photovoltaic ...
Oct 25, 2023 · A method was proposed to obtain speech signals by collecting vibration signals of vibroacoustic systems for deep learning training in the work.
The conclusion indicated that BP neural network has possessed good capability of identification with reasonable design and proper training. The results showed ...