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 …
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
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 …
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
Power system faults are significant problems in power transmission and distribution.
Methods based on relay protection actions and electrical component actions have been put …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
huge amount of data. In the age of big data, those data integrated from various systems will …