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Fault diagnosis and self-healing for smart manufacturing: a review
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …
the development of the intelligent industry. The complexity of the architecture and concept of …
Research progress on oil-immersed transformer mechanical condition identification based on vibration signals
YT Sun, HZ Ma - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
In recent years, vibration signals have been widely applied for the identification of
mechanical states in oil-immersed transformers. This paper, following the framework of …
mechanical states in oil-immersed transformers. This paper, following the framework of …
An expert system for rotating machine fault detection using vibration signal analysis
Accurate and early detection of machine faults is an important step in the preventive
maintenance of industrial enterprises. It is essential to avoid unexpected downtime as well …
maintenance of industrial enterprises. It is essential to avoid unexpected downtime as well …
Computational intelligence for preventive maintenance of power transformers
SY Wong, X Ye, F Guo, HH Goh - Applied Soft Computing, 2022 - Elsevier
Power transformers are an indispensable equipment in power transmission and distribution
systems, and failures or hidden defects in power transformers can cause operational and …
systems, and failures or hidden defects in power transformers can cause operational and …
System for tool-wear condition monitoring in cnc machines under variations of cutting parameter based on fusion stray flux-current processing
The computer numerical control (CNC) machine has recently taken a fundamental role in the
manufacturing industry, which is essential for the economic development of many countries …
manufacturing industry, which is essential for the economic development of many countries …
[HTML][HTML] Gradual wear diagnosis of outer-race rolling bearing faults through artificial intelligence methods and stray flux signals
Electric motors have been widely used as fundamental elements for driving kinematic chains
on mechatronic systems, which are very important components for the proper operation of …
on mechatronic systems, which are very important components for the proper operation of …
Convolutional neural network-based transformer fault diagnosis using vibration signals
Fast and accurate fault diagnosis is crucial to transformer safety and cost-effectiveness.
Recently, vibration analysis for transformer fault diagnosis is attracting increasing attention …
Recently, vibration analysis for transformer fault diagnosis is attracting increasing attention …
[HTML][HTML] Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost
H Shang, T Huang, Z Wang, J Li, S Zhang - Entropy, 2024 - mdpi.com
A mechanical vibration fault diagnosis is a key means of ensuring the safe and stable
operation of transformers. To achieve an accurate diagnosis of transformer vibration faults …
operation of transformers. To achieve an accurate diagnosis of transformer vibration faults …
[HTML][HTML] Analysis of vibration signals based on machine learning for crack detection in a low-power wind turbine
Currently, renewable energies, including wind energy, have been experiencing significant
growth. Wind energy is transformed into electric energy through the use of wind turbines …
growth. Wind energy is transformed into electric energy through the use of wind turbines …
Application of fractional-order integral transforms in the diagnosis of electrical system conditions
This paper proposes a methodology for the diagnosis of electrical system conditions using
fractional-order integral transforms for feature extraction. This work proposes three feature …
fractional-order integral transforms for feature extraction. This work proposes three feature …