From corrective to predictive maintenance—A review of maintenance approaches for the power industry

M Molęda, B Małysiak-Mrozek, W Ding, V Sunderam… - Sensors, 2023 - mdpi.com
Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …

Advances in fault detection and diagnosis for thermal power plants: A review of intelligent techniques

S Khalid, J Song, I Raouf, HS Kim - Mathematics, 2023 - mdpi.com
Thermal power plants (TPPs) are critical to supplying energy to society, and ensuring their
safe and efficient operation is a top priority. To minimize maintenance shutdowns and costs …

Data-based line trip fault prediction in power systems using LSTM networks and SVM

S Zhang, Y Wang, M Liu, Z Bao - Ieee Access, 2017 - ieeexplore.ieee.org
Power system faults are significant problems in power transmission and distribution.
Methods based on relay protection actions and electrical component actions have been put …

Data quality of electricity consumption data in a smart grid environment

W Chen, K Zhou, S Yang, C Wu - Renewable and Sustainable Energy …, 2017 - Elsevier
With the increasing penetration of traditional and emerging information technologies in the
electric power industry, together with the rapid development of electricity market reform, the …

数据驱动的燃煤发电装备运行工况监控——现状与展望

赵春晖, 胡赟昀, 郑嘉乐, 陈军豪 - 自动化学报, 2022 - aas.net.cn
大容量, 高参数, 低能耗的百万千瓦超超临界机组是燃煤发电领域的重大装备,
已成为全国电力工业发展的主流方向, 其安全可靠运行对推动发电企业转型升级具有重要意义 …

A temperature-based approach to detect abnormal building energy consumption

G Lin, DE Claridge - Energy and Buildings, 2015 - Elsevier
This paper introduces a temperature-based approach–called the Days Exceeding Threshold-
Toa (DET-Toa) method to detect persisting small increase or decrease in the normal …

Optimization of process parameters through fuzzy logic and genetic algorithm–A case study in a process industry

A Mariajayaprakash, T Senthilvelan… - Applied Soft Computing, 2015 - Elsevier
The simultaneous generation of steam and power, which is commonly referred to as
cogeneration, has been adopted by many sugar mills in India to overcome the power …

Artificial intelligence-assisted edge computing for wide area monitoring

B Hu, H Gharavi - IEEE Open Journal of the Communications …, 2023 - ieeexplore.ieee.org
The massive digital information generated in conjunction with the ever-increasing phasor
measurement data in the power grid has led to a tremendous constraint on the analysis and …

Modeling and multi-objective optimization of a complex CHP process

S Seijo, I del Campo, J Echanobe, J García-Sedano - Applied Energy, 2016 - Elsevier
In this paper, the optimization of a real Combined Heat and Power (CHP) plant and a slurry
drying process is proposed. Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy …

Data quality assessment for on-line monitoring and measuring system of power quality based on big data and data provenance theory

T Hongxun, W Honggang, Z Kun… - 2018 IEEE 3rd …, 2018 - ieeexplore.ieee.org
Currently, on-line monitoring and measuring system of power quality has accumulated a
huge amount of data. In the age of big data, those data integrated from various systems will …