Vehicle replacement time depends mainly on the rate of deterioration.Overloading has been found to be a significant factor of deterioration and cost accumulation.We examined the impact of overloading on vehicle deteri...Vehicle replacement time depends mainly on the rate of deterioration.Overloading has been found to be a significant factor of deterioration and cost accumulation.We examined the impact of overloading on vehicle deterioration and its total costs and hence the replacement time of vehicle fleets in Nigeria.The research design was a mixture of field survey and a longitudinal study of vehicle fleets of three transport companies in Benin City,Nigeria.The population of the study consisted of all interstate transport companies in Benin City.Multi-stage sampling was used to select the three transport companies studied.An overloading factor was developed and used to estimate the cost of operating overloaded vehicles.Research data were analysed using discrete dynamic programming,which was implemented using computer software developed through Pascal Programming.Results indicate that overloading significantly precipitates vehicle deterioration,increases operating and total cost and thus affects replacement time of vehicles.展开更多
Remote monitoring of tools for prediction of tool wear in cutting processes was considered, and a method of implementation of a remote-monitoring system previously developed was proposed. Sensor signals were received ...Remote monitoring of tools for prediction of tool wear in cutting processes was considered, and a method of implementation of a remote-monitoring system previously developed was proposed. Sensor signals were received and tool wear was predicted in the local system using an ART2 algorithm, while the monitoring result was transferred to the remote system via intemet. The monitoring system was installed at an on-site machine tool for monitoring three kinds of tools cutting titanium alloys, and the tool wear was evaluated on the basis of vigilances, similarities between vibration signals received and the normal patterns previously trained. A number of experiments were carried out to evaluate the performance of the proposed system, and the results show that the wears of finishing-cut tools are successfully detected when the moving average vigilance becomes lower than the critical vigilance, thus the appropriate tool replacement time is notified before the breakage.展开更多
文摘Vehicle replacement time depends mainly on the rate of deterioration.Overloading has been found to be a significant factor of deterioration and cost accumulation.We examined the impact of overloading on vehicle deterioration and its total costs and hence the replacement time of vehicle fleets in Nigeria.The research design was a mixture of field survey and a longitudinal study of vehicle fleets of three transport companies in Benin City,Nigeria.The population of the study consisted of all interstate transport companies in Benin City.Multi-stage sampling was used to select the three transport companies studied.An overloading factor was developed and used to estimate the cost of operating overloaded vehicles.Research data were analysed using discrete dynamic programming,which was implemented using computer software developed through Pascal Programming.Results indicate that overloading significantly precipitates vehicle deterioration,increases operating and total cost and thus affects replacement time of vehicles.
基金supported by Changwon National University in 2009-2010
文摘Remote monitoring of tools for prediction of tool wear in cutting processes was considered, and a method of implementation of a remote-monitoring system previously developed was proposed. Sensor signals were received and tool wear was predicted in the local system using an ART2 algorithm, while the monitoring result was transferred to the remote system via intemet. The monitoring system was installed at an on-site machine tool for monitoring three kinds of tools cutting titanium alloys, and the tool wear was evaluated on the basis of vigilances, similarities between vibration signals received and the normal patterns previously trained. A number of experiments were carried out to evaluate the performance of the proposed system, and the results show that the wears of finishing-cut tools are successfully detected when the moving average vigilance becomes lower than the critical vigilance, thus the appropriate tool replacement time is notified before the breakage.
