In operation,risk arising from power transformer faults is of much uncertainty and complicacy.To timely and objectively control the risks,a transformer risk assessment method based on fuzzy analytic hierarchy process(...In operation,risk arising from power transformer faults is of much uncertainty and complicacy.To timely and objectively control the risks,a transformer risk assessment method based on fuzzy analytic hierarchy process(FAHP) and artificial neural network(ANN) from the perspective of accuracy and quickness is proposed.An analytic hierarchy process model for the transformer risk assessment is built by analysis of the risk factors affecting the transformer risk level and the weight relation of each risk factor in transformer risk calculation is analyzed by application of fuzzy consistency judgment matrix;with utilization of adaptive ability and nonlinear mapping ability of the ANN,the risk factors with large weights are used as input of neutral network,and thus intelligent quantitative assessment of transformer risk is realized.The simulation result shows that the proposed method increases the speed and accuracy of the risk assessment and can provide feasible decision basis for the transformer risk management and maintenance decisions.展开更多
The sustainable development of coal mining cities in Heilongjiang province has important effect on the economic stability and development of Heilongjiang, Northeast China, and China at large. To further the sustainabl...The sustainable development of coal mining cities in Heilongjiang province has important effect on the economic stability and development of Heilongjiang, Northeast China, and China at large. To further the sustainable development evaluation system of coal mining cities in Heilongjiang province, based on the analytic hierarchy process （AHP） method combined with operational and scientific principles using Saaty＇s 1-9 scale method to construct the judgment matrix from five aspects, such as economic development and environmental quality, this paper establishes the comprehensive evaluation index sys- tem of sustainable development of coal mining cities in Heilongjiang province, including comprehensive index of industrial economic benefits and the contribution rate of science and technology. In addition, using fuzzy comprehensive evaluation method, a comprehensive evaluation is made on the indices of the four major coal mining cities of Heilongjiang. The result shows that the coal mining cities are not bet- ter than Datong of Shanxi province in many indices. The economic development and environment quality are the most important indices of the targeted layer influencing the sustainable development of coal min- ing cities of HeilonKiiang, and their index weights are 0.4358 and 0.2844, respectively. These two indices including comprehensive index of industrial economic benefit and the ratio of environmental protection investment to GDP are the key elements influencing the two aspects.展开更多
基金Project(50977003) supported by the National Natural Science Foundation of China
文摘In operation,risk arising from power transformer faults is of much uncertainty and complicacy.To timely and objectively control the risks,a transformer risk assessment method based on fuzzy analytic hierarchy process(FAHP) and artificial neural network(ANN) from the perspective of accuracy and quickness is proposed.An analytic hierarchy process model for the transformer risk assessment is built by analysis of the risk factors affecting the transformer risk level and the weight relation of each risk factor in transformer risk calculation is analyzed by application of fuzzy consistency judgment matrix;with utilization of adaptive ability and nonlinear mapping ability of the ANN,the risk factors with large weights are used as input of neutral network,and thus intelligent quantitative assessment of transformer risk is realized.The simulation result shows that the proposed method increases the speed and accuracy of the risk assessment and can provide feasible decision basis for the transformer risk management and maintenance decisions.
基金supported by the Philosophy and Social Science Program of Heilongjiang Province (No. 10D051)the Science and Technology Plan Program of Heilongjiang Province (No. GC10D209)the General Humanity and Social Science Program of Heilongjiang Provincial Universities in 2012 (HET-based energy sustainable development research of Heilongjiang province) (No. 12522258)
文摘The sustainable development of coal mining cities in Heilongjiang province has important effect on the economic stability and development of Heilongjiang, Northeast China, and China at large. To further the sustainable development evaluation system of coal mining cities in Heilongjiang province, based on the analytic hierarchy process （AHP） method combined with operational and scientific principles using Saaty＇s 1-9 scale method to construct the judgment matrix from five aspects, such as economic development and environmental quality, this paper establishes the comprehensive evaluation index sys- tem of sustainable development of coal mining cities in Heilongjiang province, including comprehensive index of industrial economic benefits and the contribution rate of science and technology. In addition, using fuzzy comprehensive evaluation method, a comprehensive evaluation is made on the indices of the four major coal mining cities of Heilongjiang. The result shows that the coal mining cities are not bet- ter than Datong of Shanxi province in many indices. The economic development and environment quality are the most important indices of the targeted layer influencing the sustainable development of coal min- ing cities of HeilonKiiang, and their index weights are 0.4358 and 0.2844, respectively. These two indices including comprehensive index of industrial economic benefit and the ratio of environmental protection investment to GDP are the key elements influencing the two aspects.
