Optimizing predictive maintenance with machine learning for reliability improvement

Y Ren - ASCE-ASME Journal of Risk and …, 2021 - asmedigitalcollection.asme.org
Predictive maintenance, as a form of pro-active maintenance, has increasing usage and
shows significant superiority over the corrective and preventive maintenance. However …

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 …

A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers

H Zheng, Y Zhang, J Liu, H Wei, J Zhao… - Electric Power Systems …, 2018 - Elsevier
Finding out the transformer incipient faults and their development trend has always been a
central issue for electric power companies. In this paper, a novel approach combing wavelet …

Analysis of artificial intelligence expert systems for power transformer condition monitoring and diagnostics

M Žarković, Z Stojković - Electric Power Systems Research, 2017 - Elsevier
A large amount of data is generated through monitoring, maintenance, repair and
diagnostics of power transformer. However, all these data cannot preindicate the exact type …

Reducing the impacts of electric vehicle charging on power distribution transformers

P Pradhan, I Ahmad, D Habibi, G Kothapalli… - IEEE …, 2020 - ieeexplore.ieee.org
This article investigates the effects of high penetration levels of Electric Vehicle (EV)
charging on power distribution transformers and proposes a new solution to minimize its …

Fuzzy reinforcement learning based intelligent classifier for power transformer faults

H Malik, R Sharma, S Mishra - ISA transactions, 2020 - Elsevier
In this work a fuzzy reinforcement learning (RL) based intelligent classifier for power
transformer incipient faults is proposed. Fault classifiers proposed till date have low …

Application of gene expression programming (GEP) in power transformers fault diagnosis using DGA

H Malik, S Mishra - IEEE Transactions on Industry Applications, 2016 - ieeexplore.ieee.org
Accurate diagnosis of incipient faults in oil-filled power transformers is important in
preventive maintenance of transformers. Dissolved gas analysis (DGA) is an effective tool to …

Power transformer condition assessment based on online monitor with SOFC chromatographic detector

J Fan, C Fu, H Yin, Y Wang, Q Jiang - … Journal of Electrical Power & Energy …, 2020 - Elsevier
Power transformer is vital for energy conversion in power system, the condition assessment
of which based on dissolved gas analysis (DGA) is used worldwide. In this paper, an online …

FPGA implementation of AI-based inverter IGBT open circuit fault diagnosis of induction motor drives

N Rajeswaran, R Thangaraj, L Mihet-Popa… - Micromachines, 2022 - mdpi.com
In modern industrial manufacturing processes, induction motors are broadly utilized as
industrial drives. Online condition monitoring and diagnosis of faults that occur inside and/or …

An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers

KSTR Alves, M Hell, FLC Oliveira… - Electric Power Systems …, 2020 - Elsevier
A factor that directly impacts the lifespan of a power transformer is the hot-spot temperature,
and its monitoring is vital to prevent faults, reduce costs, keep the safety, and provide a …