The fire behaviour involving multiple fires in a mine drift with longitudinal ventilation was analysed. The conditions and fire phenomena occurring were described. The analysis was based upon experimental data from mo...The fire behaviour involving multiple fires in a mine drift with longitudinal ventilation was analysed. The conditions and fire phenomena occurring were described. The analysis was based upon experimental data from model-scale fire experiments. A fire involving several fuel items may lead to flames tilted horizontally and filling up the entire cross section, leading to earlier ignition, higher fire growth rates, higher fire spread rate and severe fire behaviour. Longer flame lengths will also result due to decreased air entrainment. A correlation for the continuous flame length was proposed. The results of the analysis will help identifying and preventing potentially dangerous fire situations with several large combustible items distributed along a mine drift.展开更多
The progress of the GAG gas flow in a conveyor drift is investigated.The output of a calculation model is evaluated and compared with experimental results from full-scale inertisation experiments.Expressions presentin...The progress of the GAG gas flow in a conveyor drift is investigated.The output of a calculation model is evaluated and compared with experimental results from full-scale inertisation experiments.Expressions presenting the fastest and most extensive condensation of water resulted in well fitted arrival times of the GAG gas front.A common denominator for the two sets of expressions is that the type of flow is considered and thus better fitted to the actual flow situation.The model was further refined to include the surface roughness factor in the condensation calculations,which resulted in time lengths even closer to the measured time length.The measured rapid temperature increase at certain positions along the conveyor drift was found to fit well with the calculated GAG gas front arrival at the corresponding positions.The magnitude of the GAG flow was found to have a large impact on the arrival time of the GAG gas front.Knowing and understanding the GAG gas behaviour would increase the likelihood of successful inertisation of all or part of a mine.展开更多
集成式数据流挖掘是对存在概念漂移的数据流进行学习的重要方法.针对传统集成式数据流挖掘存在的缺陷,将人类的回忆和遗忘机制引入到数据流挖掘中,提出基于记忆的数据流挖掘模型MDSM(memorizing based data stream mining).该模型将基...集成式数据流挖掘是对存在概念漂移的数据流进行学习的重要方法.针对传统集成式数据流挖掘存在的缺陷,将人类的回忆和遗忘机制引入到数据流挖掘中,提出基于记忆的数据流挖掘模型MDSM(memorizing based data stream mining).该模型将基分类器看作是系统获得的知识,通过"回忆与遗忘"机制,不仅使历史上有用的基分类器因记忆强度高而保存在"记忆库"中,提高预测的稳定性,而且从"记忆库"中选取当前分类效果好的基分类器参与集成预测,以提高对概念变化的适应能力.基于MDSM模型,提出了一种集成式数据流挖掘算法MAE(memorizing based adaptive ensemble),该算法利用Ebbinghaus遗忘曲线对系统的遗忘机制进行设计,并利用选择性集成来模拟人类的"回忆"机制.与4种典型的数据流挖掘算法进行比较,结果表明:MAE算法分类精度高,对概念漂移的整体适应能力强,尤其对重复出现的概念漂移以及实际应用中存在的复杂概念漂移具有很好的适应能力.不仅能够快速适应新的概念变化,并且能够有效抵御随机的概念波动对系统性能的影响.展开更多
文摘The fire behaviour involving multiple fires in a mine drift with longitudinal ventilation was analysed. The conditions and fire phenomena occurring were described. The analysis was based upon experimental data from model-scale fire experiments. A fire involving several fuel items may lead to flames tilted horizontally and filling up the entire cross section, leading to earlier ignition, higher fire growth rates, higher fire spread rate and severe fire behaviour. Longer flame lengths will also result due to decreased air entrainment. A correlation for the continuous flame length was proposed. The results of the analysis will help identifying and preventing potentially dangerous fire situations with several large combustible items distributed along a mine drift.
文摘The progress of the GAG gas flow in a conveyor drift is investigated.The output of a calculation model is evaluated and compared with experimental results from full-scale inertisation experiments.Expressions presenting the fastest and most extensive condensation of water resulted in well fitted arrival times of the GAG gas front.A common denominator for the two sets of expressions is that the type of flow is considered and thus better fitted to the actual flow situation.The model was further refined to include the surface roughness factor in the condensation calculations,which resulted in time lengths even closer to the measured time length.The measured rapid temperature increase at certain positions along the conveyor drift was found to fit well with the calculated GAG gas front arrival at the corresponding positions.The magnitude of the GAG flow was found to have a large impact on the arrival time of the GAG gas front.Knowing and understanding the GAG gas behaviour would increase the likelihood of successful inertisation of all or part of a mine.
文摘集成式数据流挖掘是对存在概念漂移的数据流进行学习的重要方法.针对传统集成式数据流挖掘存在的缺陷,将人类的回忆和遗忘机制引入到数据流挖掘中,提出基于记忆的数据流挖掘模型MDSM(memorizing based data stream mining).该模型将基分类器看作是系统获得的知识,通过"回忆与遗忘"机制,不仅使历史上有用的基分类器因记忆强度高而保存在"记忆库"中,提高预测的稳定性,而且从"记忆库"中选取当前分类效果好的基分类器参与集成预测,以提高对概念变化的适应能力.基于MDSM模型,提出了一种集成式数据流挖掘算法MAE(memorizing based adaptive ensemble),该算法利用Ebbinghaus遗忘曲线对系统的遗忘机制进行设计,并利用选择性集成来模拟人类的"回忆"机制.与4种典型的数据流挖掘算法进行比较,结果表明:MAE算法分类精度高,对概念漂移的整体适应能力强,尤其对重复出现的概念漂移以及实际应用中存在的复杂概念漂移具有很好的适应能力.不仅能够快速适应新的概念变化,并且能够有效抵御随机的概念波动对系统性能的影响.
