Quantifying the multiple environmental, health, and economic co-benefits from the adoption of carbon capture technology in the power sector in southern Iraq, using a recurrent neural network-based health assessment approach

Mohammed, Rudha Khudhair; Farzaneh, Hooman

doi:10.1016/j.jenvman.2024.121848

Journal of Environmental Management

2024

DOI: 10.1016/j.jenvman.2024.121848

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Quantifying the multiple environmental, health, and economic co-benefits from the adoption of carbon capture technology in the power sector in southern Iraq, using a recurrent neural network-based health assessment approach

Rudha Khudhair Mohammed,

Hooman Farzaneh

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Cited by 2 publications

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Exosomal miR-129-2-3p promotes airway epithelial barrier disruption in PM2.5-aggravated asthma

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et al. 2024

Journal of Environmental Management

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Exosomal miR-129-2-3p promotes airway epithelial barrier disruption in PM2.5-aggravated asthma

Wang,

Niu,

Zhang

et al. 2024

Journal of Environmental Management

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Application of Power Data Mining Analysis in Fault Diagnosis and Preventive Maintenance

Jiang,

He,

Wang

et al. 2024

Applied Mathematics and Nonlinear Sciences

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In order to ensure the stable transmission of electric power, it is an effective way to diagnose and maintain the operating status of electric power equipment from the operation data of electric power equipment. This paper uses a stacked sparse autoencoder to design a training model to realize the data function operation function in the fault detection model. After collecting and classifying the power system data, the line current is standardized and transformed. Then, the processed data is input into the stacked sparse autoencoder, and the model is trained layer by layer. On this basis, the long-term memory network model is introduced to establish a fault diagnosis model. To solve the double-sample situation of power data, the maximum mean difference method must be used. A preventive maintenance strategy is constructed based on failure prediction and remaining life to optimize the implementation path. Evaluate the model’s value in terms of its performance, reliability, and economic benefits of preventive O&M methods. However, judging from the fuzzy fault degree, the electrical components with a high probability of failure are T 1, T 3, L 3, L 9, and B 1, and the fuzzy fault degrees are 0.3154, 0.2789, 0.0648, 0.2657, and 0.0678, respectively—fusion of multidimensional evidence. The components most likely to fail are T 1, T 3, and L 9. From the perspective of operation and maintenance costs, when the MMC maintenance time of Dublin Fang Electric Farm is 17 times, the lowest operation and maintenance cost is 22.8615 million yuan.

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Quantifying the multiple environmental, health, and economic co-benefits from the adoption of carbon capture technology in the power sector in southern Iraq, using a recurrent neural network-based health assessment approach

Cited by 2 publications

References 42 publications

Exosomal miR-129-2-3p promotes airway epithelial barrier disruption in PM2.5-aggravated asthma

Exosomal miR-129-2-3p promotes airway epithelial barrier disruption in PM2.5-aggravated asthma

Application of Power Data Mining Analysis in Fault Diagnosis and Preventive Maintenance

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