Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm

J Chen, J Tang, H Xia, W Yu, J Qiao - Fuel, 2023 - Elsevier
The furnace temperature field is key information to reflect the combustion conditions and is
related to process safety, equipment failure rates, and pollution emissions in municipal solid …

城市固废焚烧过程智能优化控制研究现状与展望

汤健, 夏恒, 余文, 乔俊飞 - 自动化学报, 2023 - aas.net.cn
针对全球城市固废(Municipal solid waste, MSW) 的高增长率导致城市环境持续恶化以至于“
垃圾围城” 现象日益增多等问题, MSW 焚烧(MSW incineration, MSWI) 技术能够通过发酵, 燃烧 …

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization

R Zhang, J Tang, H Xia, X Pan, W Yu, J Qiao - Neural Computing and …, 2024 - Springer
Carbon monoxide (CO) is a toxic gas emitted during municipal solid waste incineration
(MSWI). Its emission prediction is conducive to pollutant reduction and optimized control of …

Multi-objective PSO semi-supervised random forest method for dioxin soft sensor

W Xu, J Tang, H Xia, W Yu, J Qiao - Engineering Applications of Artificial …, 2024 - Elsevier
Municipal solid waste incineration (MSWI) is the most widely used waste treatment
technology worldwide. Dioxin (DXN), one of the by-products of the MSWI process, is by far …

Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven

R Zhang, J Tang, H Xia, J Chen, W Yu, J Qiao - Journal of Cleaner …, 2024 - Elsevier
Carbon monoxide (CO) is a hazardous gas discharged during municipal solid waste
incineration (MSWI). Its emission concentration serves as a vital indicator for assessing the …

面向复杂工业过程的虚拟样本生成综述

汤健, 崔璨麟, 夏恒, 乔俊飞 - 自动化学报, 2024 - aas.net.cn
用于复杂工业过程难测运行指标和异常故障建模的样本具有量少稀缺, 分布不均衡以及内涵机理
知识匮乏等特性. 虚拟样本生成(Virtual sample generation, VSG) 作为扩充建模样本数量及其 …

Weather analysis and prediction based on bagging regression

Y Gong, P Zhang - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
From ancient times to the present, weather has been an inseparable factor for human
activities. With the development and progress of the times, modern society increasingly …

融合全监督学习的半监督矿石粒度预测算法

姜志宏, 陈澳 - 黄金科学技术, 2024 - goldsci.ac.cn
摘要针对选矿过程矿石粒度分析精度的提高依赖于有标签样本数量, 以及传统全监督建模方法泛
化性能较差的问题, 提出了融合全监督学习的半监督矿石粒度预测算法. 以运矿皮带上应用图像 …

[PDF][PDF] 自适应阈值AdaBoost. RT 算法及其在轴承剩余寿命预测中的应用

汪森辉, 王成, 孙坤, 何祥, 杨科 - 科学技术与工程, 2023 - stae.com.cn
摘要针对自适应增强回归阈值(adaptive boosting regression threshold, AdaBoost. RT)
算法用于判断训练样本好坏的阈值为常数, 不能自适应地对每个测试样本动态调整判断标准的 …

Condition Monitoring of IGBT Devices in Internet of Things Based on Random Forest Model

L Zhou, G Yao, H Wang, J Li, S Liu… - Mechatronics and …, 2024 - ebooks.iospress.nl
Aiming at the problem of frequent aging faults of insulated gate bipolar transistor modules,
this paper takes IGBT aging fault characteristic parameter data collected from the intelligent …