An Exploration into the Fault Diagnosis of Analog Circuits Using Enhanced Golden Eagle Optimized 1D-Convolutional Neural Network (CNN) with a Time-Frequency …

J Gao, J Guo, F Yuan, T Yi, F Zhang, Y Shi, Z Li, Y Ke… - Sensors, 2024 - mdpi.com
With the continuous operation of analog circuits, the component degradation problem
gradually comes to the forefront, which may lead to problems, such as circuit performance …

A new method for weighted fusion of evidence based on the unified trust distribution mechanism and the reward-punishment mechanism

Z Ji, J Tian, H Chen, S Liu - Information Sciences, 2023 - Elsevier
In order to solve the problem that the classical Dempster-Shafer (DS) evidence theory
combination formula fails when there is a high conflict between evidence and increase the …

An Incipient Fault Diagnosis Method Based on Complex Convolutional Self-Attention Autoencoder for Analog Circuits

T Gao, J Yang, S Jiang, Y Li - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
With the extensive application of analog circuits in many electronic devices, it is important to
achieve accurate alerts in the incipient fault stage of analog circuits to reduce the threat on …

WavePHMNet: A comprehensive diagnosis and prognosis approach for analog circuits

V Khemani, MH Azarian, M Pecht - Advanced Engineering Informatics, 2024 - Elsevier
Even though analog circuits comprise a small minority among all circuits, they are
responsible for the vast majority of all faults. Hence, analog circuit fault diagnosis and …

A fault diagnosis method for bearings and gears in rotating machinery based on data fusion and transfer learning

Y Zhang, X Yan, P Xiao, J Zou… - Measurement Science and …, 2024 - iopscience.iop.org
Rotating machinery is a crucial component of industrial equipment, and the fault diagnosis of
bearings and gears, as vital elements of rotating machinery, is essential since they often fail …

A Method of Diagnosing Analog Circuit Soft Faults Using Boruta Features and LightGBM

H Chen, C Hu, B Han, K Miao - Electronics, 2024 - mdpi.com
Modern electronic power systems rely heavily on analog circuits. The accurate detection of
analog circuit faults, especially soft faults, is of great significance for the maintenance and …

Diagnosis of Analog and Digital Circuit Faults Using Exponential Deep Learning Neural Network

RS Ram, MLC Prabhaker - Journal of Electronic Testing, 2023 - Springer
With advanced technology, the latest Very Large Scale Integration (VLSI) circuit designs are
manufactured. In advanced technology-centered circuits, new design-specific, as well as …

Mechanical Equipment Performance Degradation Assessment Method Based on Improved Degradation Feature Extraction and Sample Completeness.

S Lv, X Hu - International Journal of Acoustics & Vibration, 2023 - search.ebscohost.com
Performance degradation assessment (PDA), as an important part of health management, is
playing a crucial role in evaluating the degenerate state of mechanical equipment. To …

Prognostics and Secure Health Management of Analog Circuits

V Khemani - 2022 - search.proquest.com
Analog circuits are a critical part of industrial circuits and systems. Estimates in the literature
show that, even though analog circuits comprise less than 20% of all circuits, they are …

Analog circuit fault diagnosis based on feature attention

X Du, L Cao - 2023 - researchsquare.com
Aiming at the troubles of effective extraction of fault features, large model calculation, low-
accuracy diagnosis and poor stability, this paper proposes an analog circuit fault diagnosis …