As the critical equipment,large axial-flow fan(LAF)is used widely in highway tunnels for ventilating.Note that any malfunction of LAF can cause severe consequences for traffic.Specifically,fault deterioration is suppr...As the critical equipment,large axial-flow fan(LAF)is used widely in highway tunnels for ventilating.Note that any malfunction of LAF can cause severe consequences for traffic.Specifically,fault deterioration is suppressed tremendously when an abnormal state is detected in the stage of early fault.Thus,the monitoring of the early fault characteristics is very difficult because of the low signal amplitude and system disturbance(or noise).In order to overcome this problem,a novel early fault judgment method to predict the operation trend is proposed in this paper.The vibration-electric information fusion,the support vector machine(SVM)with particle swarm optimization(PSO),and the cross-validation(CV)for predicting LAF operation states are proposed and discussed.Finally,the results of the experimental study verify that the performance of the proposed method is superior to that of the contrast models.展开更多
An increase in public environmental awareness and pressures from the government’s determination to deal with environmental problems force manufacturers to implement green manufacturing(GM).However,since managers and ...An increase in public environmental awareness and pressures from the government’s determination to deal with environmental problems force manufacturers to implement green manufacturing(GM).However,since managers and stakeholders lack understanding of GM and its complexity,the manufacturing enterprise,especially the small and medium ones,are constantly facing the problems of how to make a reasonable decision for an environmental problem,and the adopted approaches have no clear payoffs.The customized design,flexible production,and diversified services in customized production make the problems more challenging.In order to solve this problem,this paper proposes a framework for the implementation of GM in customized products manufacturing enterprises(CPME).A three-layer framework,i.e.,the goal layer,the product life-cycle layer and the supporting layer,is designed to provide a methodology to help implement GM.In this model,the GM practice processes are divided into four stages from the life-cycle perspective,i.e.design,production,use,and disposal.The preliminary practice of GM in an electrical product manufacturing company is carried out,and the implementation effect shows that the system framework is helpful to make a comprehensive understanding of GM and to improve the operability of GM practices.The integrated product model is an effective way to integrate the life cycle data.展开更多
基金Project(2018YFB2002100)supported by the National Key R&D Program of China。
文摘As the critical equipment,large axial-flow fan(LAF)is used widely in highway tunnels for ventilating.Note that any malfunction of LAF can cause severe consequences for traffic.Specifically,fault deterioration is suppressed tremendously when an abnormal state is detected in the stage of early fault.Thus,the monitoring of the early fault characteristics is very difficult because of the low signal amplitude and system disturbance(or noise).In order to overcome this problem,a novel early fault judgment method to predict the operation trend is proposed in this paper.The vibration-electric information fusion,the support vector machine(SVM)with particle swarm optimization(PSO),and the cross-validation(CV)for predicting LAF operation states are proposed and discussed.Finally,the results of the experimental study verify that the performance of the proposed method is superior to that of the contrast models.
基金supported by the National Key R&D Program of China(No.2018YFB2002102)。
文摘An increase in public environmental awareness and pressures from the government’s determination to deal with environmental problems force manufacturers to implement green manufacturing(GM).However,since managers and stakeholders lack understanding of GM and its complexity,the manufacturing enterprise,especially the small and medium ones,are constantly facing the problems of how to make a reasonable decision for an environmental problem,and the adopted approaches have no clear payoffs.The customized design,flexible production,and diversified services in customized production make the problems more challenging.In order to solve this problem,this paper proposes a framework for the implementation of GM in customized products manufacturing enterprises(CPME).A three-layer framework,i.e.,the goal layer,the product life-cycle layer and the supporting layer,is designed to provide a methodology to help implement GM.In this model,the GM practice processes are divided into four stages from the life-cycle perspective,i.e.design,production,use,and disposal.The preliminary practice of GM in an electrical product manufacturing company is carried out,and the implementation effect shows that the system framework is helpful to make a comprehensive understanding of GM and to improve the operability of GM practices.The integrated product model is an effective way to integrate the life cycle data.
