Industrial expert systems review: A comprehensive analysis of typical applications
X Yang, C Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
As a branch of artificial intelligence (AI), expert systems are well-known for interpreting and
deducing solutions to problems based on the rules contained within a knowledge base …
deducing solutions to problems based on the rules contained within a knowledge base …
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 …
An integrated decision-making model for condition assessment of power transformers using fuzzy approach and evidential reasoning
R Liao, H Zheng, S Grzybowski, L Yang… - … on power delivery, 2011 - ieeexplore.ieee.org
This paper presents an integrated model based upon the fuzzy approach and evidential
reasoning decision-making approach to condition assessment of power transformers. An …
reasoning decision-making approach to condition assessment of power transformers. An …
Investigation of an expert system for the condition assessment of transformer insulation based on dielectric response measurements
The need for economic, reliable, and effective delivery of electric power has lead to the
search for fast, efficient, and effective methods for diagnosing the insulation of high-voltage …
search for fast, efficient, and effective methods for diagnosing the insulation of high-voltage …
Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks
This paper proposes a new approach for rotating machinery which integrates wavelet
transform (WT), principal component analysis (PCA), and artificial neural networks (ANN) to …
transform (WT), principal component analysis (PCA), and artificial neural networks (ANN) to …
Performance of a load-immune classifier for robust identification of minor faults in induction motor stator winding
Reliable detection of induction motor stator winding insulation failure at its early stages is a
challenging issue in modern industry. Insulation failure between small number of turns …
challenging issue in modern industry. Insulation failure between small number of turns …
Fault diagnosis approach of traction transformers in high‐speed railway combining kernel principal component analysis with random forest
With the rapid development of high‐speed railways, fault detection and diagnosis for traction
transformers are more and more important, and the detection method with high accuracy is …
transformers are more and more important, and the detection method with high accuracy is …
Deep learning with LPC and wavelet algorithms for driving fault diagnosis
Vehicle fault detection and diagnosis (VFDD) along with predictive maintenance (PdM) are
indispensable for early diagnosis in order to prevent severe accidents due to mechanical …
indispensable for early diagnosis in order to prevent severe accidents due to mechanical …
Copula-based statistical health grade system against mechanical faults of power transformers
A health grade system against mechanical faults of power transformers has been little
investigated compared to those for chemical and electrical faults. This paper thus presents a …
investigated compared to those for chemical and electrical faults. This paper thus presents a …